Teradata Education Course Catalogassets.teradata.com/pdf/TEN/Course_Catalogs/Terada... · • Online learning content via webcasts and ... Hadoop Pre-requisite Course (+) 2-4 days

Teradata Education Course Catalog

Spring 2016Teradata Education - International

2 Spring 2016 International Catalog

Table of Contents

Overview

Registration & Policies

Teradata Education Planning

Teradata Education Network

Webcasts

Web-based Training Courses

Instructor-led Training Courses

Teradata Certified Professional Program

Public Course Schedule

2

4

5

6

8

10

19

35

38

Teradata Education Strengthen your skills, your career – and your value with world class training

Teradata® Education designs, develops and delivers education that builds skills and capabilities to enable your company to maximise and expand its Teradata and Teradata Aster investment. Our cost-effective training brings you our highly experienced instructors and a world-class collection of online content that:

• Builds the know-how of technical staff to keep the system running smoothly and efficiently

• Teaches developers how to quickly and effectively implement applications that meet the needs of the business

• Helps business users discover ways to unlock the power of data, increasing your organisation’s ROI

About This CatalogWe’ve included our most popular course offerings in this catalog – please visit www.Teradata.com/TEN for a complete listing of all courses available.

Blended Learning ApproachTeradata offers a variety of formats to suit your needs. The combination of web technology through the Teradata Education Network, along with hands-on instructor-led training, gives each user level a wide range of opportunities to gain knowledge and expand skills. Our flexible education options build upon and complement one another for a cost-effective, robust offering. Covering a broad range of subjects, our training programs present the essential knowledge to achieve swift and smooth information technology implementation at every organisational level.

OVERVIEW


OVERVIEW

Benefits of Teradata Education

Flexible Delivery Options• Teradata offers a variety of training options—

self-paced, classroom, and virtual instructor-led

Expert Assessment of Training Requirements Based on Job Roles• Teradata Education Consultants work

with your organisation to design a training program based on your specific needs

Decreased Ramp-Up Time• Training enables you to come up to

speed on the new technology quickly and efficiently

The Latest and The Greatest• Training is available on new software

versions, features and products

Quality You Can Count On• Teradata is the only authorised provider

of Teradata training

Scheduled ClassesPublic, instructor-led training (ILT) classes for theTeradata Database are currently delivered in ourEducation Centres, or virtually over the web (VILT).• Hotel reservations are the responsibility of the student• Business casual attire• Class hours are 9:00 am–5:00 Australian Eastern Standard

Time (AEST); Class hours for UK and Germany vary per class and will be confirmed in course confirmations once a participant is registered.

On-Site Classroom Training• Any instructor-led class may be taught at your location,

and we can customise your training event by combining selected topics from our standard course offerings for technical and business users

Education Offerings for Technical and Business Users• Role-based training paths

The Teradata Education Network• Teradata’s premier online learning portal• Online learning content via webcasts and

web-based courses

Teradata Education Consultants• Teradata Education Consultants design customised

training plans for you and your staff• Contact your local Teradata representative or email

[email protected].

PricingFor detailed price information contact us [email protected] orby contacting your local Teradata Representative.


NEW: Teradata 15.10 Courses Now Available We are pleased to announce that all of our instructor-led Teradata Database courses have been updated to include the new features and functions available with Teradata 15.10. If you just need to find out what’s new, we have “differences” training available in a self-paced format.

Registration

EnrollmentContact your local Teradata Representative or email re-

quests to [email protected] find your local Teradata Contact at www.teradata.com/TEN/contact/.

Enrollment InformationEnrollment/Registration Forms can be downloaded from

www.teradata.com/TEN/catalogsandschedules/. Complete

all the requested information on the form, scan and follow

the instructions on the form to register for the course. If

your company requires a Purchase Order, please ensure

that this is forwarded with your Enrollment/Registration

Form to enable us to complete your registration and

confirm your participation on the course.

CancellationsEnrollments in public classes must be canceled at least 14

calendar days prior to the start of the class, or full tuition

will be charged.

SubstitutionsStudent substitutions may be made at any time

without penalty.

REGISTRATION & POLICIES


Core

Teradata Database

Recommended

1 day or Self-Paced

DBA

Advanced SQL Advanced SQL Advanced SQL

Parallel Transporter

Physical Database Design (+)

Application Design & Development



Physical Database Tuning

Warehouse Administration (+)

Warehouse Management

Physical Database Tuning



Parallel Transporter Parallel Transporter

Introduction to the Teradata Database (+)

Teradata SQL(+)

Designer/Architect Data Analyst Business User

Teradata SQL forBusiness Users (+)

ETL/Application Developer

Optional

3-5 days or WBT

Core

Teradata Aster

Core

Hadoop

Pre-requisite Course

(+)

2-4 days or Self-Paced

4 days or Self-Paced

3 days or Self-Paced

4 days

4 days

3 days

3 days

4 days

Teradata Aster Database Admin

Hadoop Admin Hadoop Design/Data Science

Hadoop Data Analyst Courses

Hadoop Developer Courses

Hadoop EssentialsSelf-Paced

TD Aster SQL-MRAnalytic Functions

Teradata Aster Analytics (+)3 days

3 days/Self-Paced

4 days

Discuss the course options with your Teradata Education Consultant to choose the best course(s) based on your Teradata platform, operating system, technical experience and learning preference.

Teradata Education PlanCustomised, role-specific learning plans make it easy to decide

Select the Job Role/Function(s) which most closely match your primary job role, and identify the recommended courses to be included in your learning plan by reading down the appropriate column(s).

EDUCATION PLANNING


Teradata Education NetworkExpand your Teradata knowledge at your own pace, on your own schedule

Visit www.Teradata.com/TEN/Virtual-Tours to sample a Recorded Webcast.

Learning LibraryA collection of learning materials that includes white papers, Orange Books (Highly Technical Papers) and articles on Teradata topics.

SubscriptionsTEN subscriptions provide unlimited, online access to our web-based training courses and webcasts. Five subscription levels are available to meet your ongoing technical and business user training needs. Teradata Education Consultants will work with your organisation to determine the right subscription level(s) required to meet your training objectives. Expand your Teradata knowledge and fully utilise your Teradata system with a TEN subscription.

The Right Partner for YouTeradata Education looks forward to bringing you the most advanced and exciting online education experience. To learn how to put the next generation of Teradata education to use, contact your Teradata representative or visit www.Teradata.com/TEN.

Teradata Education Network (TEN) is a world-class online learning portal that allows you to harness the power of the internet, so you can expand your Teradata and Teradata Aster knowledge at your own pace – anytime, anywhere. View and access the most recent and most popular training courses; register online for web-based training, webcasts, and public classes (classroom and virtual instructor-led) in one comprehensive website.

Self-Paced Online TrainingWhether you are new to Teradata and/or Teradata Aster or you are an advanced user, we have the online training needed for every skill level.

Web-Based Training CoursesWeb-based courses are formal, self-paced training delivered via TEN. Many of our popular instructor-led courses are also offered in web-based formats, allowing you to save on travel costs and maximise your time.

WebcastsAttend class from the comfort of your own desk! Webcasts are structured, usually one- to two-hour presentations delivered via TEN.

• Recorded Webcasts – Teradata also offers more than 175 recorded webcasts on a wide variety of technical and business subjects. Recorded webcasts may be accessed via TEN 24 hours a day, 7 days a week.

EDUCATION PLANNING


Teradata Education Network Subscriptions

*Pricing shown applies to individual, annual subscriptions. Volume discounts are available.

TERADATA EDUCATION NETWORK — WEBCASTS $695*

Recorded Webcasts A library of previously recorded live webcast presentations —more than 175 available

Learning Library A collection of white papers, Orange Books (Highly Technical Papers) and articles from top subject matter experts

TERADATA EDUCATION NETWORK — UNLIMITED $3,150*

Recorded Webcasts A library of previously recorded live webcast presentations—more than 175 available

Learning Library A collection of white papers, Orange Books (Highly Technical Papers) and articles from top subject matter experts

Web-based Training More than 30 structured, self-paced, web-based training courses, many with hands-on labs

TERADATA EDUCATION NETWORK — BUSINESS $425*

Recorded Webcasts More than 20 webcast presentations specially designed for business users

TERADATA EDUCATION NETWORK — BUSINESS UNLIMITED $1,495*

Recorded Webcasts More than 20 webcast presentations specially designed for business users

Web-based Training Two structured, self-paced, web-based training courses: Teradata Fundamentals for Business Users and Teradata SQL for Business Users

TERADATA EDUCATION NETWORK — TERADATA ASTER $550*

Recorded Webcasts Select webcast presentations specially designed for Teradata Aster Database users

Web-based Training Includes access to select Teradata Aster self-paced courses

FEATURES BENEFITS

EDUCATION PLANNING


Recorded WebcastsThe newest, most popular webcasts available on Teradata Education NetworkVisit www.Teradata.com/TEN for a current listing of all available courses or to view webcasts by topic. All recorded webcasts are priced at $195 per person.

A Structured Method for Tuning Teradata SQL Arnie VanWyk, David Gardner 45703 1.5 • • • • A Technical Deep Dive into Teradata Loom, QueryGrid, and Optimising Hadoop Daniel Abadi 53383 0.75 • • • • NEW Advanced Temporal Bhashyam Ramesh 54629 1.5 • • • Aster Analytics Release 5.11 Update Mike Riordan 51819 1 • • • Automated Statistics Management Eric Scheie, Louis Burger 51253 1.5 • • Backup and Restore using Teradata Data Stream Architecture (DSA) Jeremy Davis 51409 1 • Best Practices for Writing and Tuning Teradata SQL Robert Smith 52811 1 • • • Big Blocks: Usability Tips & Tradeoffs Carrie Ballinger 52691 1.5 • • Big Data Analytics: Organising For Success Bill Franks 51204 1 • • Big Text: Gaining Value from Unstructured Data with Aster Text Analytics Mark Turner 52911 1.25 • • • Controlling the Mix: What’s New in Teradata Active Systems Management for TD15.0 Doug Brown, Brian Mitchell 52629 1 • Controlling the Mix: What’s New in Teradata Active Syst Mgmt for Teradata 14.0 & 14.10 Ruth Fenwick, Brian Mitchell 51192 1 • Data Collection for a Solid Performance Management Foundation Dan Fritz 52524 1.5 • • DBQL - the Ultimate Query Tracker - Are You Up-to-Date? Barb Christjohn, Steven Tagai 52912 1.5 • • Dealing with Natural Data Skew Steve Molini, Kotesh Mukkamala 48984 1.5 • • • • UPDATED Defense in Depth - Best Practices for Securing a Teradata Data Warehouse Jim Browning 36675 2.25 • • UPDATED De-mystifying LDAP and SSO - Teradata Database External Authentication Jim Browning 45702 1 • • Enabling SAS, SPSS, R, Tableau Desktop Analytics with Aster for Big Data Kevin Pratt 53335 1 • • • Explaining the EXPLAIN – New Functionality in 14.0 & 14.10 Alison Torres 51203 1.5 • • • • • Explaining the EXPLAIN for Business Users Alison Torres 38085 1.5 • Forget The Data, Unleash the USERS! – Driving A Self Service BI Environment Rob Armstrong 51223 1 • • • Hadoop 2.0 Dan Graham 51445 0.5 • • • • Hadoop Security 101 Dan Pumphrey 51225 1 • • NEW Hands-On with Teradata QueryGrid: Teradata-to-Hadoop Andy Sanderson 54300 1 • • NEW Hands-On with Teradata QueryGrid: Teradata-to-Oracle Andy Sanderson 54628 1 • • NEW Hands-On with Teradata QueryGrid: Teradata-to-Teradata Andy Sanderson 54299 1 • • High Performance Multi-System Analytics using Teradata QueryGrid Andy Sanderson 53556 1 • • How Teradata Works – the Extended Version Alison Torres 51198 2 • • • • • How to Design Complex Views Steve Molini 46183 1.5 • • • • Implementing Non-Tactical Queries in a Mixed Workload Environment Ray Newell 53293 1 • • • • NEW Implementing Temporal on Teradata Steve Molini 53912 1.5 • • • In-Memory the Intelligent Way with Teradata Intelligent Memory Phil Benton 51283 1 • • • Inside A Teradata Node Alison Torres 45262 1.75 • • • • • Introducing Aster Express John Thuma 53731 1.25 • • Introduction to TASM/Workload Management Portlets (SLES11) Betsy Cherian 50178 1 • Introduction to Teradata Active System Management (TASM) Carrie Ballinger 39365 1 • Introduction to Teradata Aster Discovery Platform Ashish Chopra 51326 1 • • • • Introduction to Teradata Viewpoint Shrity Verma 45704 1 • • Move The Process, Not The Data – Accelerating Analytics With In-Database Processing Rob Armstrong 51944 1 • • Oracle to Teradata 101 Dawn McCormick 22381 1.5 • • • Performance Diagnostic Methodology Arnie VanWyk 51945 1.5 • • • Performance Testing - When is it time for a System Tune Up? Jim Blair 49658 1 • Priority Scheduler in SLES 11 for Teradata Database 15.0 Carrie Ballinger 53751 1 • • Putting Teradata Geospatial On The Map Igor Machin 50111 1 • • • • • R Solutions Across the Unified Data Architecture Bill Franks, Tim Miller, Arlene Zaima 53796 2 • • • Rise of the Disruptive Data Warehouse Rob Armstrong 53692 1 • • • Roles and Responsibilities of a Teradata DBA Roger Mann 21346 2 • • Statistics Enhancements in Teradata Database 14.0/14.10 Carrie Ballinger 52772 1.25 • • • NEW System Performance Monitoring Dan Fritz 54351 1 • • Tables without a Primary Index - How does it work? Larry Carter 45842 1 • • • Teradata 101: The Strategy and Technology Basics Rob Armstrong 51377 1 • • • • • Teradata 15.0 JSON Integration Rich Charucki 51925 0.5 • • Teradata 15.0 QueryGrid Rich Charucki 52330 1 • • Teradata Active System Management (TASM) with SLES 11 Priority Scheduler Dan Fritz 52182 1 • Teradata Application Performance Tuning: Tips and Techniques Dan Fritz 52894 1 • • Teradata Data Lab (15.10) Overview Gary Ryback 53411 0.75 • Teradata Database 15 Overview Rich Charucki 51524 2 • • • Teradata Database 15.10 Overview Richard Charucki 54172 1.5 • • • Teradata Database Architecture Overview Todd Walter 50480 3 • • Teradata Enterprise Access for Hadoop Ariff Kassam 52581 0.25 • • Teradata Parallel Transporter Best Practices Steven Feinholz 54078 1.5 • • • Teradata Partitioning Paul Sinclair 53716 2 • • • NEW Teradata Secure Zones: Implementation Basics Youko Watari 54294 1 • • • Teradata Star-Schema Designs Steve Molini 26536 2 • • • Teradata Studio Express Darrik Sogabe, Francine Grimmer 50591 1 • • • Teradata Studio: Teradata’s Administration Toolkit Shrity Verma, Francine Grimmer 50506 1 • • • Teradata Terminology Deciphered Mark Jauss 21408 1.5 • • • • • Teradata, Memory, and Storage Larry Carter 45883 1.5 • • The Aster Discovery Process Mike Riordan 51636 1.5 • • • The Basics of Using JSON Data Types David Micheletto 52483 1 • • UPDATED The Many Uses of the Teradata Querybanding Feature Debbie Galeazzi, Mike Coutts 43042 0.5 • • • The nPath forward - Using Aster nPath to Uncover Customer Patterns Mark Ott 51337 1.5 • • • • Unified Data Architecture Monitoring & Management Gary Ryback 51539 1 • • • • •NEW Unity Data Mover 15.10 Overview Cliff Lindroth 54367 0.5 • • • Unity Ecosystem Manager – Advanced Monitoring and Alerting for your UDA Mark Hasenstab, Paulraj Thomas 51540 1 • • NEW What Do I Do First? Aster Text Analytics Step by Step Mark I. Turner 54147 2 • • • Whats New in Viewpoint 15.10 Shrity Verma 54208 0.5 • • • When to Use Hadoop, When to use the Data Warehouse Dan Graham 50373 0.5 • • • • When to Use Which Type of Chart in Aster Lens Jarrod Johnson 53433 0.5 • • Workload Management Capacity on Demand and other SLES11 Hard Limits Carrie Ballinger, Brian Mitchell 52773 1.25 • • • NEW Workload Management with SLES 11 – Tips and Techniques Dan Fritz 53853 1.5 •

TERADATA COURSES PRESENTERS COURSE #

EDUCATION PLANNING


Database Administrator

Designer/Architect

Application DeveloperData AnalystBusiness User

LIVE WEBCAST SCHEDULE*January 14Migrating your TD Active System Management Settings to SLES11Presenters: Doug Brown and Brian Mitchell – TeradataCourse #: 54648 Price: $215

January 21Aster Apps Center – When to Use Which VisualisationPresenter: John Thuma – Teradata Course #: 54650 Price: $215

February 18Architecture of Presto, an Open Source SQL EnginePresenter: Kamil Bajda-Pawlikowski – Teradata Course #: 54669 Price: $215

February 25Integrated Analytics is a Different WorldPresenters: Todd Walter and Tom Fastner – Teradata Course #: 54670 Price: $215

March 10Data Modeling on NoSQLPresenter: Bryce Cottam – Teradata Course #: 54671 Price: $215

March 17Automating Disaster Recovery Synchronisation Using Unity Data MoverPresenter: Kevin Black – Teradata Course #: 54672 Price: $215

April 14Six Habitual Architecture Mistakes and How to Avoid ThemPresenter: Eddie Sayer – Teradata Course #: 54690 Price: $215

April 21Like, Pin or Tweet It: Get More Value Out of Social Media Data with AsterPresenter: Liza Duffy – Teradata Course #: 54798 Price: $215

May 5Easy and Scalable Real-time Data Ingestion with Teradata ListenerPresenter: Allen Hoem – Teradata Course #: 54797 Price: $215

A Structured Method for Tuning Teradata SQL Arnie VanWyk, David Gardner 45703 1.5 • • • • A Technical Deep Dive into Teradata Loom, QueryGrid, and Optimising Hadoop Daniel Abadi 53383 0.75 • • • • NEW Advanced Temporal Bhashyam Ramesh 54629 1.5 • • • Aster Analytics Release 5.11 Update Mike Riordan 51819 1 • • • Automated Statistics Management Eric Scheie, Louis Burger 51253 1.5 • • Backup and Restore using Teradata Data Stream Architecture (DSA) Jeremy Davis 51409 1 • Best Practices for Writing and Tuning Teradata SQL Robert Smith 52811 1 • • • Big Blocks: Usability Tips & Tradeoffs Carrie Ballinger 52691 1.5 • • Big Data Analytics: Organising For Success Bill Franks 51204 1 • • Big Text: Gaining Value from Unstructured Data with Aster Text Analytics Mark Turner 52911 1.25 • • • Controlling the Mix: What’s New in Teradata Active Systems Management for TD15.0 Doug Brown, Brian Mitchell 52629 1 • Controlling the Mix: What’s New in Teradata Active Syst Mgmt for Teradata 14.0 & 14.10 Ruth Fenwick, Brian Mitchell 51192 1 • Data Collection for a Solid Performance Management Foundation Dan Fritz 52524 1.5 • • DBQL - the Ultimate Query Tracker - Are You Up-to-Date? Barb Christjohn, Steven Tagai 52912 1.5 • • Dealing with Natural Data Skew Steve Molini, Kotesh Mukkamala 48984 1.5 • • • • UPDATED Defense in Depth - Best Practices for Securing a Teradata Data Warehouse Jim Browning 36675 2.25 • • UPDATED De-mystifying LDAP and SSO - Teradata Database External Authentication Jim Browning 45702 1 • • Enabling SAS, SPSS, R, Tableau Desktop Analytics with Aster for Big Data Kevin Pratt 53335 1 • • • Explaining the EXPLAIN – New Functionality in 14.0 & 14.10 Alison Torres 51203 1.5 • • • • • Explaining the EXPLAIN for Business Users Alison Torres 38085 1.5 • Forget The Data, Unleash the USERS! – Driving A Self Service BI Environment Rob Armstrong 51223 1 • • • Hadoop 2.0 Dan Graham 51445 0.5 • • • • Hadoop Security 101 Dan Pumphrey 51225 1 • • NEW Hands-On with Teradata QueryGrid: Teradata-to-Hadoop Andy Sanderson 54300 1 • • NEW Hands-On with Teradata QueryGrid: Teradata-to-Oracle Andy Sanderson 54628 1 • • NEW Hands-On with Teradata QueryGrid: Teradata-to-Teradata Andy Sanderson 54299 1 • • High Performance Multi-System Analytics using Teradata QueryGrid Andy Sanderson 53556 1 • • How Teradata Works – the Extended Version Alison Torres 51198 2 • • • • • How to Design Complex Views Steve Molini 46183 1.5 • • • • Implementing Non-Tactical Queries in a Mixed Workload Environment Ray Newell 53293 1 • • • • NEW Implementing Temporal on Teradata Steve Molini 53912 1.5 • • • In-Memory the Intelligent Way with Teradata Intelligent Memory Phil Benton 51283 1 • • • Inside A Teradata Node Alison Torres 45262 1.75 • • • • • Introducing Aster Express John Thuma 53731 1.25 • • Introduction to TASM/Workload Management Portlets (SLES11) Betsy Cherian 50178 1 • Introduction to Teradata Active System Management (TASM) Carrie Ballinger 39365 1 • Introduction to Teradata Aster Discovery Platform Ashish Chopra 51326 1 • • • • Introduction to Teradata Viewpoint Shrity Verma 45704 1 • • Move The Process, Not The Data – Accelerating Analytics With In-Database Processing Rob Armstrong 51944 1 • • Oracle to Teradata 101 Dawn McCormick 22381 1.5 • • • Performance Diagnostic Methodology Arnie VanWyk 51945 1.5 • • • Performance Testing - When is it time for a System Tune Up? Jim Blair 49658 1 • Priority Scheduler in SLES 11 for Teradata Database 15.0 Carrie Ballinger 53751 1 • • Putting Teradata Geospatial On The Map Igor Machin 50111 1 • • • • • R Solutions Across the Unified Data Architecture Bill Franks, Tim Miller, Arlene Zaima 53796 2 • • • Rise of the Disruptive Data Warehouse Rob Armstrong 53692 1 • • • Roles and Responsibilities of a Teradata DBA Roger Mann 21346 2 • • Statistics Enhancements in Teradata Database 14.0/14.10 Carrie Ballinger 52772 1.25 • • • NEW System Performance Monitoring Dan Fritz 54351 1 • • Tables without a Primary Index - How does it work? Larry Carter 45842 1 • • • Teradata 101: The Strategy and Technology Basics Rob Armstrong 51377 1 • • • • • Teradata 15.0 JSON Integration Rich Charucki 51925 0.5 • • Teradata 15.0 QueryGrid Rich Charucki 52330 1 • • Teradata Active System Management (TASM) with SLES 11 Priority Scheduler Dan Fritz 52182 1 • Teradata Application Performance Tuning: Tips and Techniques Dan Fritz 52894 1 • • Teradata Data Lab (15.10) Overview Gary Ryback 53411 0.75 • Teradata Database 15 Overview Rich Charucki 51524 2 • • • Teradata Database 15.10 Overview Richard Charucki 54172 1.5 • • • Teradata Database Architecture Overview Todd Walter 50480 3 • • Teradata Enterprise Access for Hadoop Ariff Kassam 52581 0.25 • • Teradata Parallel Transporter Best Practices Steven Feinholz 54078 1.5 • • • Teradata Partitioning Paul Sinclair 53716 2 • • • NEW Teradata Secure Zones: Implementation Basics Youko Watari 54294 1 • • • Teradata Star-Schema Designs Steve Molini 26536 2 • • • Teradata Studio Express Darrik Sogabe, Francine Grimmer 50591 1 • • • Teradata Studio: Teradata’s Administration Toolkit Shrity Verma, Francine Grimmer 50506 1 • • • Teradata Terminology Deciphered Mark Jauss 21408 1.5 • • • • • Teradata, Memory, and Storage Larry Carter 45883 1.5 • • The Aster Discovery Process Mike Riordan 51636 1.5 • • • The Basics of Using JSON Data Types David Micheletto 52483 1 • • UPDATED The Many Uses of the Teradata Querybanding Feature Debbie Galeazzi, Mike Coutts 43042 0.5 • • • The nPath forward - Using Aster nPath to Uncover Customer Patterns Mark Ott 51337 1.5 • • • • Unified Data Architecture Monitoring & Management Gary Ryback 51539 1 • • • • •NEW Unity Data Mover 15.10 Overview Cliff Lindroth 54367 0.5 • • • Unity Ecosystem Manager – Advanced Monitoring and Alerting for your UDA Mark Hasenstab, Paulraj Thomas 51540 1 • • NEW What Do I Do First? Aster Text Analytics Step by Step Mark I. Turner 54147 2 • • • Whats New in Viewpoint 15.10 Shrity Verma 54208 0.5 • • • When to Use Hadoop, When to use the Data Warehouse Dan Graham 50373 0.5 • • • • When to Use Which Type of Chart in Aster Lens Jarrod Johnson 53433 0.5 • • Workload Management Capacity on Demand and other SLES11 Hard Limits Carrie Ballinger, Brian Mitchell 52773 1.25 • • • NEW Workload Management with SLES 11 – Tips and Techniques Dan Fritz 53853 1.5 •

LENGTH (HOURS)

* Schedule is subject to change. Visit www.Teradata.com/TEN for the most current course information.

10 Spring 2016 International Catalog *Time of completion varies by individual.

WBT 50352 12 Hours* $349

WBT 26438 8 Hours* $398

WBT 48383 8 Hours* $398

Course ObjectivesAfter successfully completing this course, you will be able to:• Describe the purpose and function of the Teradata Database• Understand relational table structures using Primary

Keys and Foreign Keys• List the principal components of the Teradata Database

and describe their functions• Understand the hierarchy of database objects and

space management• Describe the function of the Primary Index and the

Secondary Index• Know how data distribution and data access mechanics

work in the Teradata Database• Describe the Teradata Database features that provide

fault tolerance• Understand the use and application of the Teradata

Tools and Utilities

Teradata 14.10 Differences

Audience – Those familiar with Teradata 14.0Prerequisites – Working knowledge of Teradata 14.0

Course OverviewThis course provides details on the new features and functions of Teradata 14.10. For each new feature, the course provides a description, business value, and when and how to use it. Configuration is also addressed when applicable.

Course ObjectivesAfter successfully completing this course, you will be able to understand and apply the new features and functions of Teradata 14.10:• Teradata Intelligent Memory• Enhanced Performance• In-Database Analytics Improvements• TASM and Availability Enhancements• Teradata Enterprise Access for Hadoop• Other New Features

Teradata Fundamentals for Business Users

Audience – Business UsersPrerequisites – None Course OverviewSpecially designed for the business user, this course provides a broad overview of the features, functions and benefits of the Teradata database. The student will also gain a basic understanding of Teradata terminology and acronyms.

Course ObjectivesAfter successfully completing this course, you will be able to: • Understand various data warehouse architectures and

where Teradata fits in• Describe basic relational database theory• Know the principal components of the Teradata database

and their function• Understand Teradata objects and their hierarchy, data

distribution, and data access mechanics• Be familiar with the features that provide fault tolerance

performance, scalability, and security

Introduction to the Teradata DatabaseDemo Available

Audience – Core Curriculum: Database Administrators, Designers/Architects, Application Developers, Data AnalystsTCPP Exam Preparation – TE0-141Prerequisites – None

Course OverviewIntended for technical audiences, this course provides a de-tailed overview of the features, functions and benefits of the Teradata database. Among the topics taught are data distribution, access, storage, and data protection methods. The suite of load, access, and management utilities and tools are also covered, as well as basic Teradata terminology and acronyms.

WEB-BASED COURSES • OVERVIEW

11 Spring 2016 International Catalog *Time of completion varies by individual.

WBT 51843 10-12 Hours* $349



Course OverviewThis course provides details on the new features and functions of Teradata 15.00. For each new feature, the course provides a description, business value, and when and how to use it. Configuration is also addressed when applicable.

Course ObjectivesAfter successfully completing this course, you will be able to understand and apply the new features and functions of Teradata 15.00:• JSON Integration • Big Data & Analytics • Ecosystem • Quality & Supportability • Industry Compatibility



Course OverviewThis course provides details on the new features and functions of Teradata 15.10. For each new feature, the course provides a description, business value, and when and how to use it. Configuration and support issues are also addressed when applicable.

Course ObjectivesAfter successfully completing this course, you will be able to understand and apply the new features and functions of Teradata 15.10:• Analytic Processing & Performance• Large Memory Leverage• Concurrency• Security• Database and Performance • Supportability • Administration

Teradata Data Stream Architecture (DSA)

Audience – Database Administrators and BAR operatorsPrerequisites – Introduction to the Teradata Database (Instructor-led (#25964) or WBT (#26438))

Course OverviewThis self-paced course covers backup and restore (BAR) and Data Stream Architecture (DSA) architecture/concepts, and provides an overview of the hardware, software, and services components that comprise Teradata BAR solutions.

This knowledge is a prerequisite to meeting with the Teradata implementer for the hands on BAR Training at the client’s site, and is also helpful for onboarding new personnel.

Course ObjectivesAfter successfully completing this course, you will be able to:• Understand the Teradata DSA solution/architecture – DSA functions – DSA components – How the components fit together and what they do• Explain basic DSA operations• Know the BAR variables that affect DSA performance

and operations

WEB-BASED COURSES • OVERVIEW

WBT 51841 11 Hours* $349

WBT 53054 3-4 Hours* $249


WBT 50584 10 Hours* $398

WBT 54458 29 Hours* $995

Teradata SQLDemo Available

Audience – Core Curriculum: Database Administrators, Designers/Architects, Application Developers, Data AnalystsTCPP Exam Preparation – TE0-142Prerequisites – Introduction to the Teradata Database (Instructor-led (#25964) or WBT (#26438))

Course OverviewThis course offers practical, hands-on experience with retrieving and manipulating data with Teradata Struc- tured Query Language (SQL) using both ANSI standard conventions and Teradata extensions to the language.

Course ObjectivesAfter successfully completing this course, you will be able to:• Understand basic relational concepts and their implementation

using SQL• Retrieve data using the SELECT statement• Use logical and arithmetic expressions• Choose the appropriate Teradata Data Type for column

definitions • Use the HELP and SHOW facilities to obtain information

from the Data Dictionary about data structures associated with Teradata databases, users, tables, views, macros, and indexes

• Use Teradata’s DATE data type for date and time- oriented reporting

• Use BTEQ for simple SQL request processing• Create/modify tables and views using Column Attributes

and Check Constraints• Create secondary indexes, and create/execute macros

using run time parameters• Format query output, and produce reports using joins

and subqueries• Write SQL with INNER, OUTER, LEFT, RIGHT, and

CROSS joins

• Use set operators like UNION, INTERSECT, and EXCEPT• Use WITH and WITH ... BY to produce reports with totals

and subtotals• Produce reports using table Aggregation, and

String Manipulation• Maintain data using INSERT, UPDATE, and DELETE • Use the CASE statement to tag output and to perform row-

level set assignment• Use Teradata built-in functions, such as RANK and SAMPLE

Teradata SQL Extensions

Audience – Database Administrators, Designers/Architects, Application Developers, and Data AnalystsPrerequisites – Prior experience with SQL is mandatory

Course OverviewThis course offers practical, hands-on experience with retrieving and manipulating data with Teradata Structured Query Language (SQL) using Teradata extensions to the ANSI standard language. Ideally suited for students who have working knowledge of SQL using other relational database(s), the material highlights the additional capabilities Teradata has added to the language.

Course ObjectivesAfter successfully completing this course, you will be able to:• Understand Teradata SQL naming conventions• Write queries using Teradata SQL functions and operators• Code inner and outer joins in Teradata SQL• Know the Teradata-specific syntax structures• Be able to use advanced SQL constructs and formatting

options in Teradata• Understand the methods for creating new tables from

existing structure

WEB-BASED COURSES • APPLICATION DESIGN & DEVELOPMENT

*Time of completion varies by individual.


WBT 54390 32 Hours* $1,192WBT 50541 24 Hours* $1,192

Teradata SQL for Business Users

Audience – Core Curriculum: Business UsersPrerequisites – The following software must be installed on your computer in order for you to be able to complete this course:• Teradata ODBC driver (available from Teradata.com),

Teradata SQL Assistant (licensed product, must have been purchased by your company)

Course OverviewThis course was designed for data analysts and business users of the Teradata system. It provides an overview of the Teradata architecture as well as the features and benefits ofthe product. It covers data distribution, access, storage, and Teradata terminology and how to use the Teradata utility SQL Assistant to submit Structured Query Language (SQL) statements. This course offers practical, hands-on experience with retrieving and manipulating data with Teradata SQL using both ANSI standard conventions and the Teradata extensions to the language.

Course ObjectivesAfter successfully completing this course, you will be able to:• Understand the architecture and components of the

Teradata Database• Know how the Teradata database uses the Primary and

Secondary Indexes• Write queries in the SQL programming language that

access single and multiple tables• Use SQL Assistant for submitting queries to the

Teradata Database• Be able to convert and format data for reporting purposes,

including exports into Excel• Know how to produce totals and subtotals in reports using

aggregation operators• Understand he use of various join strategies and subqueries

to qualify the data to be selected from the database• Create queries which perform rankings of data and extract

data samples from large tables

Teradata Advanced SQL

Audience – Core Curriculum: Application Developers, Data Analysts, Optional: Database Administrators, Architects/DesignersTCPP Exam Preparation – TE0-142Prerequisites – Introduction to the Teradata Database (Instructor-led (#25964) or WBT (#26438)), Teradata SQL (Instructor-led (#25965) or WBT (#54458))

Course OverviewThis web-based training course offers advanced features and techniques used for retrieving and manipulating data with Teradata Structured Query Language (SQL) using both ANSI standard conventions and Teradata extensions to the language.

Course ObjectivesAfter successfully completing this course, you will be able to:• Create and use volatile and global temporary tables• Create tables with appropriate constraints for referential

integrity and the controlling of data insertion• Create new tables from existing tables, copying data and

table attributes from the source table• Use the Teradata data types for date and time-oriented

queries• Use the MERGE INTO command for ANSI Upsert process-

ing, and apply ANSI features such as EXISTS statement, correlated subqueries, and derived tables

• Create recursive queries using recursive tables and views• Create analytical queries using advanced ranking and

extended grouping functions• Create OLAP queries using advanced ranking functions • Use Ordered Analytic Functions for Group, Sum, Cumulative

and Remaining Window Aggregations• Use RANDOM and SAMPLE functions for generating or

extracting samples of data• Use Teradata extended grouping functions – ROLLUP,

CUBE, GROUPING SETS• Use the Teradata DATE, TIME, TIMESTAMP and TIME WITH

ZONE data types for date and time-oriented queries• Use INTERVAL data types to perform complex data arith-

metic in time-oriented queries, and apply internationalised numeric and date/time formatting options




WBT 54174 37 Hours* $1,192

Teradata SQL for Application Development

Audience – Core Curriculum: Application Developers, Optional: Database Administrators, Designers/ArchitectsTCPP Exam Preparation – TE0-142, TE0-145, TE0-147Prerequisites – Introduction to the Teradata Database (Instructor-led (#25964) or WBT (#26438)), Teradata SQL (Instructor-led (#25965) or WBT (#54458)), experience in application development and familiarity with a text editor

Course OverviewThis course offers practical, hands-on experience with retrieving and manipulating data with Teradata Structured Query Language (SQL) using both ANSI standard conven-tions and Teradata extensions to the language. The focus of this course will be SQL as used for application design and development.

Course ObjectivesAfter successfully completing this course, you will be able to:• Distinguish among Referential Integrity, Soft Referential In-

tegrity and Batch Referential Integrity• Manipulate value comparisons with case-sensitive data• Create and access Large Objects; deploy Array Data Types

where appropriate• Implement Period and Geospatial data types, as well as

User Defined Types• Create JSON documents within Teradata• Implement normalised periods on tables, and create

time-oriented queries• Use the ANSI MERGE capability in place of Multiload for

data loading• Implement Error Tables for complex error handling• Collect Statistics on one or on multiple columns• Implement Column Compression and Columnar Partitioning• Create and implement Aggregate Join and Hash Indexes• Create and implement tables without a primary index

(NoPI tables), and tables using a single-level or multi-level Partitioned Primary Index

• Build and implement performance improvements with NUSIs and Join Indexes

• Create and implement materialised views, such as Global Join Indexes and Sparse Indexes

Teradata SQL for Active Events

Audience – Database Administrators, Designers/ Architects, Application DevelopersTCPP Exam Preparation – TE0-142, TE0-145, TE0-147Prerequisites – Introduction to the Teradata Database (Instructor-led (#25964) or WBT (#26438)), Teradata SQL (Instructor-led (#25965) or WBT (#54458)), familiarity with a Unix, Linux or Windows environment and a text editor, programming language experience – Java program development will be helpful but not necessary

Course OverviewThis course offers advanced features and techniques used for implementing and executing active events processing using Teradata Structured Query Language (SQL). Students will create, implement and use Teradata enablers such as stored procedures, queue tables, triggers, and user defined functions for the active event environment.

Course ObjectivesAfter successfully completing this course, you will be able to:• Understand the interactions of events, messages and ac-

tions; role of Teradata in event detection and processing• Create and implement a queue table to be used in an event

processing application• Create triggers and distinguish between the use of row and

statement triggers• Control firing sequence of multiple triggers using ORDER

or TIMESTAMP• Create cascading and recursive triggers and use the SET

statement for BEFORE trigger processing• Recognise the advantages of using stored procedures for

conditional trigger logic• Implement User Defined Functions, Table Functions, and

Table Operators• Create, compile and execute SQL stored procedures• Define External Stored Procedures (XSPs) and identify

their purpose and benefits• Create Java XSPs with SQL and JDBC• Create and install an XSP containing SQL requests while

recognising the benefits and restrictions of using SQL via the CLI interface in an XSP

• Use Large Objects (LOBs) in event processing



WBT 54173 39 Hours* $1,192


WBT 49905 4 Hours* $249 WBT 49904 29 Hours* $1,192

Introduction to Temporal Tables

Audience – Database Administrators, Designers/ Architects, and Application DevelopersPrerequisites – Introduction to the Teradata Database (Instructor-led (#25964) or WBT (#26438)), Teradata SQL (Instructor-led (#25965) or WBT (#54458))

Course OverviewThis informative course provides hands-on exposure to the features, capabilities, and techniques for creating, propagating, and managing temporal data within the Teradata database.

Course ObjectivesAfter successfully completing this course, you will be able to:• Describe the architecture and components of the Teradata

implementation of the temporal tables feature• Articulate the purpose of creating applications with temporal

tables and why customers will use them• List and differentiate the different types of temporal tables• List the available temporal qualifiers and the type of result

they will produce• Recognise the benefits and limitations of adding temporal

data as an enhancement to traditional data tables



Teradata SQL for Temporal Tables

Audience – Database Administrators, Designers/ Architects, Application DevelopersPrerequisites – Introduction to the Teradata Database (Instructor-led (#25964) or WBT (#26438)), Teradata SQL (Instructor-led (#25965) or WBT (#54458)), Teradata Advanced SQL (Instructor-led (#25966) or WBT (#54390)), Teradata SQL for Application Development (Instructor- led (#28910) or WBT (#49673)), Teradata SQL for Active Events (WBT (#49674)), Introduction to Temporal Tables (WBT (#49905))

Course OverviewThis course provides in-depth, hands-on exposure to the fea-tures, capabilities, and techniques for creating, propagating, and managing temporal data within the Teradata Database.

Course ObjectivesAfter successfully completing this course, you will be able to:• Create, modify, and implement the following Teradata

objects: Valid Time Tables, Transaction Time Tables, Bi-Temporal Tables, and related objects such as Join Indexes, Triggers, Views on Temporal Tables

• Design SQL queries to capture time-dimensioned data providing answers to the questions, ‘what did we know’ and ‘when did we know it’

• Implement appropriate temporal qualifiers to the standard SQL statements to maintain and retrieve temporal data

• Implement partitioned primary index tables using recom-mended temporal design schemes

• Create views, triggers, table constraints and join indexes for tables with temporal time dimensions

• Recognise the impact of temporal tables on other Teradata SQL commands such as MERGE, ABORT, HELP and SHOW


Teradata Parallel Transporter

Audience – Core Curriculum: Application DevelopersRecommended: Designers/Architects, Optional: Database Administrators TCPP Exam Preparation – TE0-144, TE0-145Prerequisites – Introduction to the Teradata Database (Instructor-led (#25964) or WBT (#26438)), Teradata SQL (Instructor-led (#25965) or WBT (#54458))

Course OverviewThis course covers the features and functions of the Teradata Parallel Transporter (TPT) product. It explores the product capabilities and demonstrates how the product fits into the Teradata product environment as a load/unload tool, with substantial implications for the throughput and performance expectations of an Active Data Warehouse.

Course ObjectivesAfter successfully completing this course, you will be able to:• Describe the TPT Application Program Interface (API) and

its role in developing customised tools• Understand the components that make up a TPT script,

such as: DEFINE JOB, DEFINE OPERATOR, DEFINE SCHEMA, APPLY

• Know how to filter, convert or pre-process source data prior to loading to a Teradata table

• Use data streams in place of external physical files• Use the UPDATE operator to INSERT, UPDATE, UPSERT,

and DELETE data held in Teradata tables• Execute the TPT utility commands to manage the job

submission environment• Use the Stream operator to INSERT, UPDATE, UPSERT, and

DELETE data held in Teradata tables• Use the TPT Wizard to create and execute single step jobs

Teradata Unity 14.10 Implementation Overview

Audience – Database Administrators, Designers/ Architects, and Application DevelopersPrerequisites – Introduction to the Teradata Database (Instructor-led (#25964) or WBT (#26438)), Teradata SQL (Instructor-led (#25965) or WBT (#31926)), Teradata Physical Database Design (#25968); XML programming experience is desirable

Course OverviewThis web-based training course provides an overview of the products (Release 14.10) within the Teradata Unity portfolio.

Course ObjectivesAfter successfully completing this course, you will understand the features and use of the Unity portfolio of products:• Unity Ecosystem Manager 14.10 • Unity Director 14.10 • Unity Loader 14.10 • Unity Data Mover 14.10


WBT 35057 41 Hours* $1,192

WBT 51579 7.5 Hours* $398


WEB-BASED COURSES • DATABASE DESIGN

WBT 23229 4 Hours* $249

Introduction to Logical Data Modeling

Audience – Database Administrators, Designers/ Architects, Application DevelopersPrerequisites – None

Course Overview This introductory course covers the basics of Logical Data Modeling (LDM). In this course, the student will learn what a LDM is and the theory and rules used in logical data modeling. Also covered is the relationship of a logical data model to a physical data model. This course is intended for both a technical and non-technical audience with little or no experience with logical data models.

Course ObjectivesAfter successfully completing this course, you will be able to:• Understand the major parts of a Logical Data Model and

terminology, including Entities, Attributes, Relationships, and Assertions

• Describe the importance of creating a good logical data model

• Describe what normalisation is and why it is done• Read and interpret a simple Logical Data Model (LDM)


WEB-BASED COURSES • BIG DATA


WBT 53334 2-3 Hours* $249

WBT 51166 6 Hours* $398

WBT 53233 6 Hours* $249

Introduction to Big Data and Teradata Aster

Audience – Database Administrator, Designer/Architect, Application Developer, Data Analyst, Business UserPrerequisites – None

Course Overview Are you curious about all of the hype about big data and how to embrace/tackle it? In this course, you will learn about how big data is changing analytics and how Teradata Aster can easily meet the challenges of accessing big data in an efficient manner, enabling data scientists/analysts to unleash the power of all of their data for richer business insights.

This course provides an excellent overview of the big data landscape and Teradata Aster features.

Course ObjectivesAfter successfully completing this course, you will be able to:• Understand and be able to discuss how big data is pre-

senting challenges to the current process of data analytics• Be familiar with the components of the Teradata Aster

database in a conceptual and architectural format• Know the concepts of Teradata’s Unified Data Architecture

Teradata Aster Most Frequently Used SQL-MR Analytic Functions for Business Analysts

Audience – Data Analysts, Business UsersPrerequisites – Introduction to Big Data and Teradata Aster (#53334) or equivalent knowledge

Course Overview Analysts can invoke SQL-MapReduce (SQL-MR) functions using standard SQL through the Aster Database, the first discovery platform that allows applications to be fully embedded within the database engine to enable ultra-fast, deep analysis of massive data sets.

SQL-MR functions are simple to write and are seamlessly integrated within SQL statements. They rely on SQL queries to manipulate the underlying data and provide input. The functions can procedurally manipulate such input data and provide outputs that can be further consumed by SQL queries or written into tables within the database.

This course describes the most popular SQL-MR functions and how to use them. “Real world” applications and demonstrations of the functions are featured throughout the course.

Course ObjectivesAfter successfully completing this course, you will be able to use and apply the following SQL-MR functions:• Time Series, Path, and Attribution Analysis• Pattern Matching with nPath• Text Analysis • Naive Bayes• Association Analysis• Graph Analysis• Data Transformation

Teradata Aster 6.0 Differences

Audience – Database Administrator, Designer/Architect, Application Developer, Data Analyst, Business UserPrerequisites – None

Course Overview This course covers the new features/functionality for Aster Database 6.0, Aster Client 6.0 and Aster Analytics 6.0.

Course ObjectivesAfter successfully completing this course, you will be able to:• Configure AFS and use it in PSTParserAFS and DistCP• Explain Cross Validation and use it in Lars and LarsPredict-

Know the concepts of Teradata’s Unified Data Architecture• Create queries using the following functions: o GLM and GLMPredict o Correlation and KNN o Histograms and nTree o Naïve Bayes and Decision Trees• Discuss the new Security Features including: o Teradata Wallet o LDAP configuration


INSTRUCTOR-LED COURSES • OVERVIEW

Introduction to the Teradata DatabaseLecture

Audience – Core Curriculum: Database Administrators, Designers/Architects, Application Developers, Data AnalystsTCPP Exam Preparation – TE0-141Prerequisites – None

Course Overview This course provides a detailed overview of the features, functions and benefits of the Teradata database. Among the topics taught are data distribution, access, storage, and data protection methods. The suite of load, access, and management utilities and tools are also covered, as well as basic Teradata terminology and acronyms.

Course ObjectivesAfter successfully completing this course, you will be able to:• Describe the purpose and function of the Teradata Database• Understand relational table structures using Primary

Keys and Foreign Keys• List the principal components of the Teradata Database

and describe their functions• Understand the hierarchy of database objects and

space management• Describe the function of the Primary Index and the

Secondary Index• Know how data distribution and data access mechanics

work in the Teradata Database• Describe the Teradata Database features that provide

fault tolerance• Understand the use and application of the Teradata

Tools and Utilities

EMEA 40020 APAC 26391 1 Day


Teradata SQLLecture/Lab

Audience – Core Curriculum: Database Administrators, Architects/Designers, Application Developers, Data AnalystsTCPP Exam Preparation – TE0-142Prerequisites – Introduction to the Teradata Database (Instructor-led (#25964) or WBT (#26438))

Course Overview Designed for the student with little or no SQL expertise, this course focuses on retrieving and manipulating data with the Teradata Structured Query Language (SQL). Both ANSI standard conventions and Teradata extensions to the language are covered. Extensive hands-on labs help reinforce the concepts learned.

Course Objectives After successfully completing this course, you will be able to:• Work with Teradata Studio Express for submitting queries

to the Teradata Database• Write SELECT statements using SQL operators such as

AND, OR, IN, NOT IN, BETWEEN and LIKE, POSITION, and SUBSTRING for data retrieval

• Understand and be able to work with Teradata data types• Write queries to produce totals and subtotals in reports

using aggregation operators• Write SELECT statements using inner and outer joins• Write SELECT statements using correlated and

non-correlated sub-queries• Write SQL to modify the database, using the UPDATE,

INSERT, and DELETE statements• Use analytic functions, including SAMPLE, RANDOM,

and TOP N• Work with views, macros, and derived tables

Getting Started With Teradata and SQLLecture/Lab

Audience – Core Curriculum: Database Administrators, Architects/Designers, Application Developers, Data AnalystsTCPP Exam Preparation – TE0-142Prerequisites – None

Course Overview Designed for the student with little or no Teradata and SQL expertise, this course provides an introduction to the Teradata Database, and instruction on retrieving and manipulating data

with the Teradata Structured Query Language (SQL). Both ANSI standard conventions and Teradata extensions to the language are covered. Extensive hands-on labs help reinforce the concepts learned.

Course Objectives After successfully completing this course, you will be able to:• Describe the purpose and function of the Teradata Database• Be familiar with the Teradata Database architecture and

terminology• Understand relational table structures using Primary Keys

and Foreign Keys• List the principal components of the Teradata Database

and describe their functions• Work with Teradata Studio (Express) for submitting queries

to the Teradata Database• Write SELECT statements using SQL operators such as


• Understand and be able to work with Teradata data types• Write queries to produce totals and subtotals in reports

using aggregation operators• Write SELECT statements using inner and outer joins• Write SELECT statements using correlated and non-

correlated subqueries• Write SQL to modify the database, using the UPDATE,



Teradata SQL Features OverviewLecture/Lab

Audience – Core Curriculum: Database Administrators, Architects/Designers, Application Developers, Data AnalystsTCPP Exam Preparation – Reference Material for TE0-142, TE0-14B, TE0-145, TE0-147Prerequisites – Introduction to the Teradata Database (Instructor-led (#25964) or WBT (#26438))

Course Overview Designed for the student with little to moderate experience in the use of Structured Query Language (SQL) in an environment other than Teradata, this course introduces key SQL concepts and highlights the differences between ANSI SQL and Teradata SQL. Extensive hands-on labs help reinforce learning in this intensive two-day course.

INSTRUCTOR-LED COURSES • APPLICATION DESIGN & DEVELOPMENT

EMEA 40027 APAC 29928 4 Days





Course Objectives After successfully completing this course, you will be able to:• Work with Teradata Studio Express for submitting queries

to the Teradata Database• Understand and be able to work with Teradata data types• Write SELECT statements, using SQL operators such as


• Write SELECT statements using inner and outer joins• Write SELECT statements using correlated and

non-correlated sub-queries• Write queries to produce totals and subtotals in reports

using aggregation operators• Write SQL to modify the database, using the UPDATE,



Teradata Advanced SQL Features OverviewLecture/Lab

Audience – Database Administrators, Architects/ Designers, Application Developers, Data AnalystsTCPP Exam Preparation – Reference Material for TE0-142, TE0-145, TE0-147Prerequisites – Introduction to the Teradata Database (Instructor-led (#25964) or WBT (#26438)); extensive experience with ANSI SQL

Course OverviewDesigned for the student who is experienced in the use of Structured Query Language (SQL) in an environment other than Teradata, this course reviews key SQL concepts and highlights the differences between ANSI SQL and Teradata SQL. Advanced features and techniques are highlighted. Hands-on labs help reinforce learning in this intensive two-day course.Course ObjectivesAfter successfully completing this course, you will be able to:• Work with Teradata Studio Express for submitting queries

to the Teradata Database• Understand and be able to use Teradata data types• Write SELECT statements using SQL operators such as

AND, OR, IN, NOT IN, BETWEEN, LIKE, POSITION, and SUBSTRING for data retrieval

• Work with macros, permanent, and derived tables• Write SELECT statements using inner and outer joins• Write SELECT statements using correlated and

non-correlated sub-queries• Write queries to produce totals and subtotals in reports

using aggregation operators• Use analytic functions, including SAMPLE, RANDOM,

TOP N, RANK, and QUANTILE• Work with advanced features, such as recursive sub-

queries, scalar sub-queries, and interval data types

Teradata SQL for Business UsersLecture/Lab

Audience – Core Curriculum: Business Users Prerequisites – None

Course OverviewDesigned for the Business User of the Teradata Database with little or no previous SQL experience, this course provides an overview of the Teradata architecture as well as the features and benefits. Data distribution, access, storage, and Teradata terminology are covered, followed by a thorough study of Teradata Structured Query Language (SQL). The student will get lots of practical, hands-on experience with retrieving and manipulating data using both ANSI standard conventions and Teradata extensions to the language.

Course ObjectivesAfter successfully completing this course, you will be able to:• Understand the Teradata Database and relational theory

at a high level• Know the architecture and components of the Teradata

Database and the benefits of using detail data• Use Teradata Studio to submit queries to the Teradata

Database• Use Teradata’s HELP facilities to retrieve information

about your company’s data structures• Write queries in the SQL programming language that

access single and multiple tables• Write SQL to produce totals and subtotals in reports

using aggregation operators• Create queries which perform rankings of data and

extract data samples from large tables• Use SQL analytical functions• Create and use temporary data structures




Course OverviewDesigned for senior programmers and data analysts, this course focuses on advanced and analytic SQL features and techniques. Extensive hands-on labs help reinforce learning.

Course ObjectivesAfter successfully completing this course, you will be able to:• Use various forms of derived, volatile and global

temporary tables• Work with the Window Aggregate and Extended

Grouping functions• Use the ANSI Merge syntax to merge data from source to target• Write SQL using the RANK, QUANTILE and WIDTH_

BUCKET analytic functions• Work with advanced features, such as recursive subqueries,

scalar subqueries, and interval data types• Understand and use Date, Time and Timestamp

Teradata Application Design & DevelopmentLecture/Lab

Audience – Core Curriculum: Applica- tion Developers,Recommended: Database Administrators, Architects/ DesignersTCPP Exam Preparation – TE0-142, TE0-145, TE0-147Prerequisites – Introduction to the Teradata Database (Instructor-led (#25964) or WBT (#26438)), Teradata SQL (Instructor-led (#25965) or WBT (#54458))

Course OverviewThis practical course focuses on the responsibilities of the Application Developer and covers the various tools, utilities, and built-in Teradata features available to assist in application development. Key advanced SQL concepts are also covered in depth. Extensive hands-on labs help reinforce learning.

Course ObjectivesAfter successfully completing this course, you will be able to:• Understand transaction processing and interactions

with locking• Use secondary indexes and work with data type conversions• Understand and apply Referential Integrity (RI), including

“soft RI” as well as other application techniques including Triggers, and Identity columns

• Use the MERGE function and the associated error tables• Write application programs using Stored Procedure

Language (SPL)• Know and apply the function and usage of queue tables

Accelerated Teradata SQL for Business UsersLecture/Lab

Audience – Core Curriculum: Business UsersPrerequisites – SQL Experience

Course OverviewDesigned for Business Users who are familiar with the use of SQL in an environment other than Teradata, this acceler-ated three-day course with hands-on workshops focuses on the Teradata differences to ANSI SQL and how they function in a parallel processing environment. The course provides an overview of the Teradata architecture and features hands-on practice retrieving and manipulating data.

Course ObjectivesAfter successfully completing this course, you will be able to:• Understand the Teradata Database and relational theory

at a high level• Know the architecture and components of the Teradata

Database and the benefits of using detail data• Use Teradata Studio to submit queries to the

Teradata Database• Use Teradata’s HELP facilities to retrieve information

about your company’s data structures• Write queries in the SQL programming language that

access single and multiple tables• Write SQL to produce totals and subtotals in reports

using aggregation operators• Create queries which perform rankings of data and

extract data samples from large tables• Use SQL analytical functions• Create and use temporary data structures

Teradata Advanced SQLLecture/Lab

Audience – Core Curriculum: Application Developers, Data Analysts, Optional: Database Administrators, Architects/DesignersTCPP Exam Preparation – TE0-142Prerequisites – Introduction to the Teradata Database (Instructor-led (#25964) or WBT (#26438)), Teradata SQL (Instructor-led (#25965) or WBT (#54458))






Teradata Application UtilitiesLecture/Lab

Audience – Core Curriculum: Application Developers,Recommended: Database Administrators, Optional: Architects/DesignersTCPP Exam Preparation – TE0-144, TE0-145Prerequisites – Introduction to the Teradata Database (Instructor-led (#25964) or WBT (#26438)), Teradata SQL (Instructor-led (#25965) or WBT (#54458))

Course OverviewThis practical course explores the concepts and use of BTEQ, FastLoad, MultiLoad, TPump and FastExport, including writing scripts for importing and exporting data in a Teradata environment. These utilities include performing SELECT, INSERT, UPDATE, DELETE and UPSERT operations in batch and real-time environments using the Teradata application utilities for maximum performance and efficiency. Extensive hands-on labs help reinforce learning.

Course ObjectivesAfter successfully completing this course, you will be able to:• Identify and state the purpose, features and usage of each

data LOAD utility (BTEQ, FastLoad, MultiLoad, and TPump)• Identify and state the purpose, features and usage of each

data UNLOAD utility (BTEQ and FastExport)• Identify where the Application utilities should be installed

and configured on a Teradata system• Code batch scripts to IMPORT data into the Teradata

Database and EXPORT data to the host from the Teradata Database using BTEQ

• Features, benefits and usage of the Support Environment commands that are used with the MultiLoad, TPump, and FastExport utilities

Teradata Parallel TransporterLecture/Lab

Audience – Core Curriculum: Application Developers,Recommended: Database Administrators, Optional: Architects/DesignersTCPP Exam Preparation – TE0-144, TE0-145Prerequisites – Introduction to the Teradata Database (Instructor-led (#25964) or WBT (#26438)), Teradata SQL (Instructor-led (#25965) or WBT (#54458))

Course OverviewThis course explores and explains the features and functions of the Teradata Parallel Transporter (TPT) product. The Extract/Transform/Load (ETL) capabilities of TPT and its many special purpose ‘operators’ are discussed in detail to support the writing of job scripts that are used to move data from one point to another. The benefits and flexibilities of a single scripting language to support all loading and unloading functions are demonstrated, incorporating examples of practical applications of TPT. Extensive hands-on labs help reinforce learning.

Course ObjectivesAfter successfully completing this course, you will be able to:• Know the ETL role of TPT in loading/unloading a

Teradata database• Understand the basic statements of a TPT script, such

as: DEFINE JOB, DEFINE OPERATOR, DEFINE SCHEMA, and APPLY

• Define all TPT operators and their roles in the load/unload operation of a Teradata database

• Execute the TPT utility commands to manage the job submission environment

• Know how the TPT Wizard can create and execute single step jobs


EMEA 40023 APAC 29930 3 Days EMEA 40024 APAC 49209 3 Days


INSTRUCTOR-LED COURSES • DATABASE DESIGN

24

Teradata Physical Database DesignLecture/Lab

Audience – Core Curriculum: Database Administrators and Database Architects/Designers, Recommended: Application DevelopersTCPP Exam Preparation – TE0-143, TE0-144, TE0-145, TE0-146, TE0-147Prerequisites – Familiarity with Relational Database Modeling, Introduction to the Teradata Database (Instructor-led (#25964) or WBT (#26438)), Teradata SQL (Instructor-led (#25965) or WBT (#54458))

Course Overview This course defines the processes and procedures to follow when designing and implementing a Teradata system. It covers Teradata data distribution, access, and use of derived data. Similarities between join and aggregation processing, and the implementation of Referential Integrity are also discussed. Various compression forms are explained in detail. Extensive hands-on labs help reinforce learning.

Course ObjectivesAfter successfully completing this course, you will be able to:• Know the differences between logical and physical

data models• Understand Teradata data distribution and hashing ~

Know how to analyse design criteria and choose primary and secondary indexes

• Apply database sizing criteria, collection of statistics, and the use of the EXPLAIN facility

• Use tools to maximise space usage• Be familiar with the use of the CREATE TABLE and CRE-

ATE INDEX statements along with their available options• Understand and effectively use Multi-Value Compression• Know how to use Partitioned Primary Indexes • Understand the implications of the use of referential integrity



INSTRUCTOR-LED COURSES • DATABASE DESIGN

Teradata Physical Database Design Ramp CampLecture/Lab

Audience – Core Curriculum: Database Administrators, Designers/Architects, Application DevelopersPrerequisites – Familiarity with Relational Database Model-ing, Introduction to the Teradata Database (Instructor-led (#25964) or WBT (#26438)), knowledge of ANSI SQL

Course Overview This fast-paced, hands-on course is designed for students migrating to Teradata from another database platform. Accelerated instruction is provided on the differences be-tween Teradata and ANSI SQL as well as the processes and procedures to follow for designing and implementing a Teradata database. Aspects of table design, Teradata data distribution, access, and use of derived data will be covered. Students should be highly proficient in another SQL language since basic SQL syntax will not be covered in this class. It is mandatory that each student complete the Introduction to the Teradata database WBT or Instructor-led class. Students without prior physical database design and SQL skills should enroll in the standard Teradata SQL, Teradata Advanced SQL, and Teradata Physical database design classes.

Course ObjectivesAfter successfully completing this course, you will be able to:• Submit SQL requests using BTEQ and Teradata

Studio Express• Understand many of the differences between Teradata and

ANSI SQL, and know how to use the Teradata SQL extensions• Know the differences between logical and physical

data models• Understand Teradata data distribution and hashing• Know how to analyse design criteria and choose primary

and secondary indexes• Apply database sizing criteria, collection of statistics, and

the use of the EXPLAIN facility• Use tools to maximise space usage• Be familiar with the use of the CREATE TABLE and CREATE

INDEX statements along with their available options• Understand and effectively use Multi-Value Compression• Know how to use Partitioned Primary Indexes• Understand the implications of the use of referential integrity

Teradata Physical Database TuningLecture/Lab

Audience – Core Curriculum: Database Administrators, Architects/Designers, Recommended: Application DevelopersTCPP Exam Preparation – TE0-143, TE0-144, TE0-145, TE0-146, TE0-147Prerequisites – Introduction to the Teradata Database (Instructor-led (#25964) or WBT (#26438)), Teradata SQL (Instructor-led (#25965) or WBT (#54458)), Teradata Physical Database Design (#25968)

Course OverviewThis course builds on concepts learned in the Teradata Physical Database Design course, and provides an in-depth examination of the processes and procedures to follow once a Teradata database has been implemented and is in production. Performance and tuning topics involving advanced indexing strategies and querying topics are investigated. The EXPLAIN facility is utilised to analyse querying techniques and optimiser strategies.

Course ObjectivesAfter successfully completing this course, you will be able to:• Understand how transaction protocols interact with locking

strategies and query parsing• Optimise the use of Partitioned Primary Indexes (PPI)• Apply efficient methods and strategies for the collection

of statistics• Be familiar with the strategies for the optimal use of Join

Indexes, Hash Indexes and Aggregate Join Indexes• Understand various EXPLAIN terminology using the

EXPLAIN function• Know and apply techniques to optimise SQL performance

APAC 49275 5 Days



INSTRUCTOR-LED COURSES • ADMINISTRATION AND MANAGEMENT

26

Teradata Warehouse AdministrationLecture/Lab

Audience – Core Curriculum: Database AdministratorsTCPP Exam Preparation – TE0-144, TE0-145Prerequisites – Introduction to the Teradata Database (Instructor-led (#25964) or WBT (#26438)), Teradata SQL (Instructor-led (#25965) or WBT (#54458)), Teradata Physical Database Design (#25968)

Course OverviewThis hands-on course provides a comprehensive view of the administrative activities required to successfully manage a Teradata data warehouse. The Teradata system environment, including Databases, Users, space allocation, and client software interfaces, is covered in detail. Also included are administrative functions: access rights, roles, profiles, session accounting, and data archive/recovery. Various administrative utilities are covered including the Database Window, Ferret, CheckTable, and the Recovery Manager. This is a “must take” course for Database Administrators.

Course ObjectivesAfter successfully completing this course, you will be able to:• Build and maintain the database environment• Set up users, accounts, account IDs, and profiles• Understand the Data Dictionary and dictionary views• Know how database space is allocated and used• Implement access rights and roles• Use the System and Maintenance utilities• Apply the Teradata data security and protection features• Perform archive and restore functions

Teradata Warehouse ManagementLecture/Lab

Audience – Core Curriculum: Database AdministratorsTCPP Exam Preparation – TE0-144, TE0-145, TE0-147Prerequisites – Introduction to the Teradata Database (Instructor-led (#25964) or WBT (#26438)), Teradata SQL (Instructor-led (#25965) or WBT (#54458)), Teradata Physical Database Design (#25968), Teradata Warehouse Administration (#25970)

Course OverviewThis course focuses on how a Teradata Database Administrator can effectively manage their Teradata Warehouse using Viewpoint, including an in-depth study of how to set up the tool. The use and function of Viewpoint portlets is discussed in detail. Also featured is a thorough study of Teradata Workload Management, including components of a Ruleset (states, sessions, filters, throttles, workloads and exceptions). Topics covered will include workload management using Integrated Workload Management (IWM) and Teradata Active System Management (TASM). The course is concluded with an explanation of memory utilisation and the DBS Control Utility. Learning is reinforced throughout the course with hands-on exercises.

Course ObjectivesAfter successfully completing this course, you will be able to:• Understand how to set up and use Viewpoint• Be acquainted with the various Viewpoint portlets and

their use• Set up Alerts using Viewpoint• Know how to use the Viewpoint Workload Monitor• Understand Teradata Workload Management capabilities

(Includes TIWM and TASM)• Define and set up filters and throttles• Define, set up and monitor workloads• Use resource prioritisation techniques and system regulation• Understand how memory is managed, and how to use the

DBS Control utility



Teradata ViewpointLecture/Lab

Audience – Core Curriculum: Database AdministratorsPrerequisites – Introduction to the Teradata Database (Instructor-led (#25964) or WBT (#26438)), Teradata SQL (Instructor-led (#25965) or WBT (#54458)), Teradata Physical Database Design (#25968), Teradata Warehouse Administration (#25970)

Course OverviewThis hands-on course focuses on the effective use of Teradata Viewpoint. Included is an in-depth study of how to set up Viewpoint portlets, how to set up and

monitor Viewpoint alerts, and how to use various portlets to monitor system performance by monitoring active queries and system metrics. A brief overview of workload management is included in this course.

Course ObjectivesAfter successfully completing this course, you will be able to:• Understand how to set up and use Viewpoint• Be able to set up and manage Viewpoint users and roles• Understand the configuration and metrics of

Viewpoint alerts• Be acquainted with Business User, Technical User, and

Administrative User Viewpoint portlets• Be familiar with Teradata’s workload management

capabilities


INSTRUCTOR-LED COURSES • DATABASE ADMINISTRATION AND MANAGEMENT


INSTRUCTOR-LED COURSES • TERADATA ASTER AND BIG DATA AGEMENT

28



Teradata Aster Database AdministrationLecture/Lab

Audience – Core Curriculum: Aster Database Administrators Prerequisites – Teradata Aster Analytics (#52933)

Course OverviewThis practical course is designed for Teradata Aster Database Administrators, and covers building, loading, configuring and managing the Aster cluster. Hands-on exercises and case stud-ies reinforce real-world implementation and best practices.

Course ObjectivesAfter successfully completing this course, you will be able to:• Create databases, schemas, and tables• Know the rules of Aster modeling• Load data• Manage tables and connectors• Create users, assign privileges and roles• Configure workloads based on predicates of your choice• Back-up and restore Aster tables• Use the Data Dictionary, selected Aster scripts, and Ganglia• Identify bottlenecks and resolution strategies• Read and interpret Log Files

Teradata Aster AnalyticsLecture/Lab

Audience – Core Curriculum: Aster Database Administrators, Designers/Architects, Application Developers, Data Analysts Prerequisites – Working knowledge of SQL

Course OverviewDesigned for users of the Teradata Aster environment, this course provides an overview of the architecture, terminology, and usage models. Use of the most popular Teradata Aster Analytic Functions is emphasised, including practical, hands- on experience with loading, retrieving, and manipulating data.

Course ObjectivesAfter successfully completing this course, you will be able to:• Understand the Teradata Unified Architecture which

incorporates Teradata, Teradata Aster and Hadoop• Be familiar with Teradata Aster data structures and

data loading

• Gain practical knowledge of the Teradata Aster Analytic Functions through hands-on labs:

– nPath – Attribution, Basket Generator, Collaborative Filtering – Parsers – XML, JSON, ApacheLog, Text – Graph Functions – naiveBayes Functions – Correlation, Histogram, GLM, KNN, ConfusionMatrix, PCA – Canopy, Kmeans, Kmeansplot, Minhash, – Decisiontree/Forestdrive – Pack, Unpack, Pivot, Unpivot, Multicase, Antiselect,

Outlier Filter – Aster Lens Visualisation• Be familiar with Teradata Aster sample business use cases

Cloudera Designing and Building Big Data ApplicationsLecture/Lab – Developed and Presented by Cloudera

Audience – This course is best suited to developers, engineers, and architects who want to use Hadoop and related tools to solve real-world problems.Prerequisites – Participants should have already attended Cloudera Developer Training for Apache Hadoop or have equivalent practical experience. Good knowledge of Java and basic familiarity with Linux are required. Experience with SQL is helpful.

Course OverviewThis four-day course teaches how to design and build Big Data applications and prepares you to analyse and solve real-world problems using Apache Hadoop and associated tools in the en-terprise data hub. This class is designed for people who have at-tended the Cloudera Developer course, or have similar experience.

Course ObjectivesThrough instructor-led discussion and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, learning topics such as: • Creating a data set with Kite SDK • Developing custom Flume components for data ingestion • Managing a multi-stage workflow with Oozie • Analysing data with Crunch • Writing user-defined functions for Hive and Impala • Transforming data with Morphlines • Indexing data with Cloudera Search



INSTRUCTOR-LED COURSES • TERADATA ASTER AND BIG DATA

Cloudera Introduction to Data Science: Building Recommender SystemsLecture/Lab – Developed and Presented by Cloudera

Audience – This course is suitable for developers, data analysts, and statisticians.Prerequisites – Basic knowledge of Apache Hadoop: HDFS, MapReduce, Hadoop Streaming, and Apache Hive. Students should have proficiency in a scripting language; Python is strongly preferred, but familiarity with Perl or Ruby is sufficient.

Course OverviewData scientists build information platforms to ask and answer previously unimaginable questions. Learn how data science helps companies reduce costs, increase profits, improve products, retain customers, and identify new opportunities.

This three-day course helps participants understand what data scientists do and the problems they solve. Through in-class simulations, participants apply data science methods to real-world challenges in different industries and, ultimately, prepare for data scientist roles in the field.

Course ObjectivesThrough instructor-led discussion and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, learning topics such as: • The role of data scientists, vertical use cases, and business

applications of data science • Where and how to acquire data, methods for evaluating

source data, and data transformation and preparation • Types of statistics and analytical methods and their

relationship • Machine learning fundamentals and breakthroughs, the

importance of algorithms, and data as a platform • How to implement and manage recommenders using Apache

Mahout and how to set up and evaluate data experiments • Steps for deploying new analytics projects to production

and tips for working at scale

Cloudera Data Analyst Training: Using Pig, Hive, And Impala With HadoopLecture/Lab – Developed and Presented by Cloudera

Audience – This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators.Prerequisites – Knowledge of SQL is assumed, as is basic Linux command-line familiarity. Knowledge of at least one scripting language (e.g., Bash scripting, Perl, Python, Ruby) would be helpful but is not essential. Prior knowledge of Apache Hadoop is not required.

Course OverviewThe four-day Data Analyst training course focuses on Apache Pig, Hive and Cloudera Impala. Students will learn to apply traditional data analytics and business intelligence skills to Big Data. The course covers the tools participants need to access, manipulate and analyse complex data sets using SQL and familiar scripting languages.

Course ObjectivesThrough instructor-led discussion and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, learning topics such as: • The features that Pig, Hive, and Impala offer for data

acquisition, storage, and analysis • The fundamentals of Apache Hadoop and data ETL

(extract, transform, load), ingestion, and processing with Hadoop tools

• How Pig, Hive, and Impala improve productivity for typical analysis tasks

• Joining diverse datasets to gain valuable business insight • Performing real-time, complex queries on datasets




Cloudera Developer Training for Apache HadoopLecture/Lab – Developed and Presented by Cloudera

Audience – This course is best suited to developers and engineers who have programming experience.Prerequisites – Knowledge of Java is strongly recommended and is required to complete the hands-on exercises.

Course OverviewCloudera’s four-day Developer Training is designed to teach developers new to Hadoop about the fundamental concepts of managing and processing large volumes of data using the Hadoop platform. Specific topics include HDFS, MapReduce, Hive and Pig, as well as basic training about Hadoop deploy-ment and debugging. Participants will use a pre-configured virtual machine to ensure their environment is setup properly. To reinforce learning, 50% of the course is devoted to hands- on labs.

Course ObjectivesThrough instructor-led discussion and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, learning topics such as: • The internals of MapReduce and HDFS and how to write

MapReduce code• Best practices for Hadoop development, debugging, and

implementation of workflows and common algorithms• How to leverage Hive, Pig, Sqoop, Flume, Oozie, and other

Hadoop ecosystem projects• Creating custom components such as WritableComparables

and InputFormats to manage complex data types• Writing and executing joins to link data sets in MapReduce• Advanced Hadoop API topics required for real-world

data analysis

Cloudera Administrator Training for Apache HadoopLecture/Lab – Developed and Presented by Cloudera

Audience – This course is best suited to systems administrators and IT Managers.Prerequisites – Basic Linux experience; prior knowledge of Apache Hadoop is not required.

Course OverviewCloudera’s four-day Administrator Training is designed to teach administrators and operations teams how to operate, deploy and manage Hadoop clusters for their organisation. The course includes a review of Hadoop’s architecture and covers the management and monitoring tools most com-monly used to oversee Hadoop. The course also provides valuable advice on setting up, maintaining and troubleshoot-ing Hadoop for development and production systems.

Course ObjectivesThrough instructor-led discussion and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, learning topics such as: • The internals of YARN, MapReduce, and HDFS • Determining the correct hardware and infrastructure for

your cluster • Proper cluster configuration and deployment to integrate

with the data center • How to load data into the cluster from dynamically-generated

files using Flume and from RDBMS using Sqoop • Configuring the FairScheduler to provide service-level

agreements for multiple users of a cluster • Best practices for preparing and maintaining Apache

Hadoop in production • Troubleshooting, diagnosing, tuning, and solving

Hadoop issues

Cloudera Developer Training for Apache SparkLecture/Lab – Developed and Presented by Cloudera

Audience – This course is best suited to developers and engineers.Prerequisites – Course examples and exercises are presented in Python and Scala, so knowledge of one of these program-ming languages is required. Basic knowledge of Linux is assumed. Prior knowledge of Hadoop is not required.

Course OverviewThis course is a comprehensive, three-day training course for Apache Spark developers. The Spark framework provides developers with the ability to write big data applications combining batch and streaming analysis of their data. Spark supports both the Python and Scala programming languages; Spark programs are typically shorter and more expressive than traditional MapReduce applications, while delivering significant performance improvements.





Course ObjectivesThrough instructor-led discussion and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, learning topics such as: • Using the Spark shell for interactive data analysis• The features of Spark’s Resilient Distributed Datasets• How Spark runs on a cluster• Parallel programming with Spark• Writing Spark applications• Processing streaming data with Spark

HDP Data ScienceLecture/Lab – Developed by Hortonworks

Audience – Architects, software developers, analysts and data scientists who need to understand how to apply data science and machine learning on Hadoop.Prerequisites – Students must have experience with at least one programming or scripting language, knowledge in statistics and/or mathematics, and a basic understanding of big data and Hadoop principles. Students new to Hadoop are encouraged to attend the HDP Overview: Apache Hadoop Essentials course.

Course Overview Data Science for the Hortonworks Data Platform covers data science principles and techniques through lecture and hands-on experience. During this three-day course, students will learn the processes and practice of data science, including machine learning and natural language processing. Students will also learn the tools and program-ming languages used by data scientists, including Python, IPython, Mahout, Pig, NumPy, pandas, SciPy, Scikit-learn, the Natural Language Toolkit (NLTK), and Spark MLlib.

Course ObjectivesAt the completion of the course students will be able to:• Recognise use cases for data science• Describe the architecture of Hadoop and YARN• Explain the differences between supervised and

unsupervised learning• List the six machine learning tasks• Recognise use cases for clustering, outlier detection, affinity

analysis, classification, regression, and recommendation• Use Mahout to run a machine learning algorithm on Hadoop• Write Pig scripts to transform data on Hadoop• Use Pig to prepare data for a machine learning algorithm• Write a Python script• Use NumPy to analyse big data• Use the data structure classes in the pandas library • Write a Python script that invokes a SciPy machine

learning algorithm• Explain the options for running Python code on a

Hadoop cluster• Write a Pig User Defined Function in Python• Use Pig streaming on Hadoop with a Python script• Write a Python script that invokes a scikit-learn machine

learning algorithm• Use the k-nearest neighbor algorithm to predict values

based on a training data set• Run a machine learning algorithm on a distributed data

set on Hadoop• Describe use cases for Natural Language Processing (NLP)• Perform sentence segmentation on a large body of text• Perform part-of-speech tagging • Use the Natural Language Toolkit (NLTK) for implement

NLP tasks and machine learning algorithms• Explain the components of a Spark application• Write a Spark application in Python• Run machine learning algorithms on Hadoop using

Spark MLlib


*HDP = Hortonworks Data Platform




HDP Developer: Pig and HiveLecture/Lab – Developed by Hortonworks

Audience – Software developers who need to understand and develop applications for Hadoop 2.x.Prerequisites – Students should be familiar with programming principles and have experience in software development. SQL knowledge is also helpful. No prior Hadoop knowledge is required.

Course Overview This 4-day hands-on training course teaches students how to develop applications and analyse Big Data stored in Apache Hadoop using Pig and Hive. Students will learn the details of Hadoop 2.x, YARN, the Hadoop Distributed File System (HDFS), an overview of MapReduce, and a deep dive into using Pig and Hive to perform data analytics on Big Data. Other topics covered include data ingestion using Sqoop and Flume, and defining workflow using Oozie.

To reinforce learning, 50% of the course is devoted to hands-on labs.

Course ObjectivesAt the completion of the course students will be able to:• Explain Hadoop and YARN• Explain use cases for Hadoop• Explain the various tools and frameworks in the Hadoop

2.x ecosystem• Explain the architecture of the Hadoop Distributed File

System (HDFS)• Use the Hadoop client to input data into HDFS• Use Sqoop to transfer data between Hadoop and a

relational database• Explain the architecture of MapReduce• Explain the architecture of YARN• Run a MapReduce job on YARN• Write a Pig script to explore and transform data in HDFS• Define advanced Pig relations• Use Pig to apply structure to unstructured Big Data• Invoke a Pig User-Defined Function• Use Pig to organise and analyse Big Data • Understand how Hive tables are defined and implemented• Use the new Hive windowing functions• Explain and use the various Hive file formats• Create and populate a Hive table that uses the new ORC

file format• Use Hive to run SQL-like queries to perform data analysis• Use Hive to join datasets using a variety of techniques,

including Map-side joins and Sort-Merge-Bucket joins

• Write efficient Hive queries• Create ngrams and context ngrams using Hive• Perform data analytics like quantiles and page rank on

Big Data using the DataFu Pig library• Explain the uses and purpose of HCatalog• Use HCatalog with Pig and Hive• Define a workflow using Oozie• Schedule a recurring workflow using the Oozie Coordinator

HDP Developer: JavaLecture/Lab – Developed by Hortonworks

Audience – Students should be experienced Java software engineers who need to design and develop Java MapReduce applications for Hadoop 2.x.Prerequisites – This course assumes students have experience developing Java applications and using a Java IDE. Labs are completed using the Eclipse IDE and Maven. No prior Hadoop knowledge is required.

Course Overview This 4-day course provides a deep dive into Hadoop application development. Students will explore how to design and develop efficient and effective MapReduce applications for Hadoop 2.x using the Hortonworks Data Platform. The course will focus on harnessing the power of Hadoop 2.x to manipulate, analyse and perform computations on their Big Data.

Course ObjectivesAt the completion of the course students will be able to:• Describe Hadoop 2.x and the Hadoop Distributed File System • Describe the new YARN framework in Hadoop 2.x • Develop a Java MapReduce application • Run a MapReduce application on YARN • Use combiners and in-map aggregation to improve the

performance of a MapReduce job • Write a custom partitioner to avoid data skew on reducers • Perform a secondary sort by writing custom key and group

comparator classes • Recognise use cases for the various built-in input and

output formats • Write a custom input and output format for a

MapReduce job. • Optimise a MapReduce job by following best practices • Configure various aspects of a MapReduce job to optimise

mappers and reducers • Develop a custom RawComparator class • Use the Distributed Cache





• Describe the various join techniques in Hadoop • Perform a map-side join • Use a Bloom filter to join two large datasets • Perform unit tests using the UnitMR API • Describe the basic architecture of HBase • Write an HBase MapReduce application • Describe use cases for Pig and Hive • Write a simple Pig script to explore and transform big data • Write a Pig UDF (User-Defined Function) in Java • Execute a Hive query • Write a Hive UDF in Java • Use the JobControl class to create a workflow of

MapReduce jobs • Use Oozie to define and schedule workflows

HDP Developer: WindowsLecture/Lab – Developed by Hortonworks

Audience – Software developers who need to understand and develop applications for Hadoop 2.x on Windows.Prerequisites – Students should be familiar with programming principles and have experience in software development. SQL knowledge and familiarity with Microsoft Windows is also helpful. No prior Hadoop knowledge is required.

Course Overview This 4-day hands-on training course teaches students how to develop applications and analyse Big Data stored in Apache Hadoop on Windows using Pig and Hive. Students will learn the details of Hadoop 2.x, YARN, the Hadoop Distributed File System (HDFS), an overview of MapReduce, and a deep dive into using Pig and Hive to perform data analytics on Big Data. Other topics covered include using Sqoop to transfer data between Hadoop and Microsoft SQL Server, and connecting Microsoft Excel to Hadoop using the HiveODBC Driver.

Course ObjectivesAt the completion of the course students will be able to:• Explain Hadoop and YARN• Explain use cases for Hadoop• Explain the various tools and frameworks in the Hadoop

2.x ecosystem• Explain the components of the Hortonworks Data Platform

on Windows• Explain the deployment options for HDP on Windows• Explain the architecture of the Hadoop Distributed File

System (HDFS)• Use the Hadoop client to input data into HDFS• Use Sqoop to transfer data between Hadoop and Microsoft

SQL Server• Explain the architecture of MapReduce• Explain the architecture of YARN• Run a MapReduce job on YARN• Write a Pig script to explore and transform data in HDFS• Define advanced Pig relations• Use Pig to apply structure to unstructured Big Data• Invoke a Pig User Defined Function• Use Pig to organise and analyse Big Data• Understand how Hive tables are defined and implemented• Use the new Hive windowing functions• Explain and use the various Hive file formats• Create and populate a Hive table that uses the new ORC

file format• Use Hive to run SQL-like queries to perform data analysis• Use Hive to join datasets using a variety of techniques,

including Map-side joins and Sort-Merge-Bucket joins• Write efficient Hive queries• Create ngrams and context ngrams using Hive• Perform data analytics like quantiles and page rank on

Big Data using the DataFu Pig library• Explain the uses and purpose of HCatalog• Use HCatalog with Pig and Hive• Install and configure the HiveODBC Driver for Windows• Import data from Hadoop into Microsoft Excel• Define a workflow using Oozie






HDP Developer: Custom YARN ApplicationsLecture/Lab – Developed by Hortonworks

Audience – Software engineers familiar with Java who need to develop YARN applications on Hadoop 2.x by writing custom YARN clients and ApplicationMasters in Java.Prerequisites – Experienced Java developers who have:• Attended the HDP Developer: Java course; or• Attended the HDP Developer: Pig and Hive course; or• Possess similar Hadoop development knowledge and

understand HDFS and the MapReduce framework.

Course Overview This 2-day hands-on training course teaches students how to develop custom YARN applications for Apache Hadoop. Students will learn the details of the YARN architecture, the steps involved in writing a YARN application, the details of writing a YARN client and ApplicationMaster, and how to launch Containers. Applications are developed using Eclipse and Gradle connected remotely to a 7-node HDP 2.1 cluster running in a virtual machine that the students can keep for use after the training.

Course ObjectivesAt the completion of the course students will be able to:• Explain the architecture of YARN• Explain the lifecycle of a YARN application• Write a YARN client application• Run a YARN application on a Hadoop 2.x cluster• Monitor the status of a running YARN application• View the aggregated logs of a YARN application• Configure a ContainerLaunchContext• Define a LocalResource for sharing application files across

the cluster• Write a YARN ApplicationMaster• Explain the differences between synchronous and

asynchronous ApplicationMasters• Allocate Containers in a cluster• Launch Containers on NodeManagers• Write a custom Container to perform specific business logic• Explain the job schedulers of the ResourceManager• Define queues for the Capacity Scheduler

HDP Operations: Hadoop Adminstration ILecture/Lab – Developed by Hortonworks

Audience – This course is designed for IT administrators and operators responsible for installing, configuring, and supporting a HDP 2.3 deployment in a Linux environment using Ambari.Prerequisites – Attendees should be familiar with data center and Linux system administration.

Course Overview This course is designed for administrators who will be managing the Hortonworks Data Platform (HDP) 2.3 with Ambari. It covers installation, configuration, and other typical cluster management tasks. To reinforce learning, approximately 40% of the course is devoted to hands-on labs.

Course ObjectivesAt the completion of the course students will be able to:• Summarise an enterprise environment including Big Data,

Hadoop and the Hortonworks Data Platform (HDP)• Install HDP• Manage Ambari Users and Groups• Manage Hadoop Services• Use HDFS Storage• Manage HDFS Storage• Configure HDFS Transparent Data Encryption• Configure the YARN Resource Manager• Submit YARN Jobs• Configure the YARN Capacity Scheduler• Add and Remove Cluster Nodes• Configure HDFS and YARN Rack Awareness• Configure HDFS and YARN High Availability• Monitor a Cluster• Protect a Cluster with Backups




TERADATA CERTIFIED PROFESSIONAL PROGRAM

Teradata Certified Professional Program

A Teradata Certification is a differentiator in today’s quickly changing and competitive IT environment. Maximise your competitive advantage – become certified in the leading Data Warehouse DBMS technology. Teradata certification is available globally to customers, partners, associates, and students. Over 63,500 Teradata Certifications have been awarded and are recognised by major global organisations as an industry-standard measure of technical competence for IT professionals using Teradata technology.

TCPP Program Updates

Teradata 14 CertificationThe Teradata 14 Technical Certification track includes exams based on the following database releases: Teradata Database 13.0, Teradata Database 13.1, and Teradata Database 14.0 (including SLES 11). Detailed information about this Certification track is available at www.Teradata.com/Certification.

Making it Easy to Keep Your Certification Current Stay current with our easy upgrade path to Teradata 14: Teradata 14 Bridge from Teradata 12 Exam (Exam ID: TE0-14B). Candidates in good standing that have achieved any of the following Teradata 12 Certification(s) are eligible to take the Teradata 14 Bridge from Teradata 12 exam: • Teradata 12 Certified Technical Specialist • Teradata 12 Certified Database Administrator • Teradata 12 Certified Solutions Developer • Teradata 12 Certified Enterprise Architect The Bridge exam is a hybrid of the three (3) Teradata baseline Certification exams, and covers content changes (between Teradata 12 and Teradata 14) to the Teradata Basics, Tera-data SQL and Teradata Physical Design and Implementation exams. A passed exam result on the Bridge exam will yield the “Teradata 14 Certified Technical Specialist” designation. A candidate may then continue on the Teradata 14 track until achieving the desired Certification level.

Teradata 12 Masters UpgradeTeradata 12 Certified Masters will take one exam to update to Teradata 14 Certified Master (TE0-147: Teradata 14 Comprehensive Mastery Exam).

Tell Your Professional Story!

Did you know, that on average, LinkedIn® members with certifications in their profile receive 6 times more views than those with-out certifications listed? When you earn a new Certification or want to add a Certification you have already earned, follow these three easy steps to seamlessly add them to LinkedIn®.

1. Login to the Teradata Certification Tracking System.

2. Select Certifications, click “add to LinkedIn” 3. Click “Add to profile” and you are all set!

(Note: you may be prompted to login to your LinkedIn® profile during this process if you are not already.)


Pursue Teradata Certification With Confidence

Teradata Authorised Study Guides And Ebooks The Teradata Certified Professional Program (TCPP) offers exam study guides to support your Teradata Certification goals. Each guide is designed as a study companion that may be combined with recommended Teradata training courses and practical experience using Teradata technology. • These study guides may be purchased through – Hard copy books: Amazon and Greenleaf – Electronic books: Apple iBook store

(apple.com/iTunes) or, for Android devices, Kobo Books (kobo.com)

Teradata Certification App The Teradata Certification App (TCaPP) is available for Apple iOS and Android devices. Download the FREE Teradata Certification App for convenient, mobile access to Teradata Certification information:1. Visit the Apple App Store or Google Play Market

on your mobile device2. Search “TCaPP” or Terdata3. Download the App

Access these features directly through TCaPP:• Teradata Certified Professional Program information:

General program information is at your fingertips • Exam Registration: Quick access to exam registration• Certification Tracking: Check your certification history,

access results and view certificates• Certification Study Guides: Purchase study guides directly

through the app.• Exam Practice Questions: Access five free sample

questions before making this in-app purchase. Each exam has 100 exam practice questions available. Purchase 100 questions and SAVE! Or, purchase practice questions in packs of 25 and come back for more!

• Comprehensive Mastery Exam Prep: Choose from one of these interactive formats to help prepare for the Comprehensive Mastery Exam (TE0-147):

1. For the Apple iPad: download the free TCaPP App and make the in-app purchase (iOS only) OR

2. Download in eBook format for all of your favorite tech tools (through TCaPP or Kobo).

Please note: both of the above Mastery prep tools contain the same content, only presented in a different format.

Aster Certification DevelopmentAre you an Aster practitioner interested in Certification? Your help is needed! An entry level Aster Certification is under development. Be the first to achieve a Teradata Aster Certification – participate in the exam beta process. If you are interested, please send your name and contact information to [email protected].

General Program Information

Exam RegistrationFor information on how to register for exams, visit www.Teradata.com/Certification.


Top Big Data Certs by Salary

1. Teradata 14 Certified Database Admin – $134,240

2. Teradata 14 Certified Master – $131,220

3. Cloudera Certified Hadoop Administrator – $100,280

4. Teradata 14 Certified Technical Specialist – $99,930

5. Teradata 14 Certified Professional – $91,9706. IBM Certified Solution Expert Cognos BI –

$88,7907. IBM Certified Administrator Cognos BI –

$68,6608. Cloudera Certified Hadoop Developer –

$67,5309. IBM Certified Developer Cognos BI –

$66,76010. IBM Certified Designer Cognos BI –

$65,770

The value of Teradata Certification proves out in the most recent Certification Magazine Salary Survey. In a recent survey of 46 Big Data Certifications, Teradata secured 4 of the top 5 spots – including the top 2!

Source: CertMag April 2015

mailto:[email protected]


Certified Master

Certified Enterprise Architect

Certified Solutions Developer

Certified Database

Administrator

Certified Technical Specialist

* TE0-14B is an eligibility based exam. Only candidates in good standing, holding a Teradata 12 Technical Specialist Certification or more advanced certification, are eligible to take this exam.

Temporal topics are covered on the Teradata 14 SQL exam (TE0-142). Please refer to Teradata.com/Certification for a list of specific Temporal objectives.

Teradata 14 Certification Track

Teradata Corporation’s official certification exams and credentials are developed, copyrighted, and managed solely by the Teradata Certified Professional Program (TCPP). To achieve your training and certification goals, pursue only authorised courses of study and use only authorised study materials as outlined on the official TCPP web site: www.Teradata.com/Certification.

The flowchart and matrix are designed to help define your path to the knowledge, skills, and experience needed to achieve Teradata 14 Certifications. Complete information about Teradata Certification is available on the TCPP website at: www.Teradata.com/Certification.


Traditional Path: Recommended Preparation Courses Introduction to the Teradata Database l l l l l l

Teradata SQL l l l l l

Advanced Teradata SQL l l l l l

Physical Database Design l l l l l

Physical Database Tuning l l l l l

Teradata Application Utilities l l l l

Teradata Parallel Transporter l l l l

Teradata Warehouse Management l l l

Teradata Warehouse Administration l l l

Teradata Application Design and Development l l l

Certification Exams (To Be Taken In Sequential Order)TE0 -141 – Teradata 14 Basics l l l l l l

TE0-142 – Teradata 14 SQL l l l l l

TE0-143 – Teradata 14 Physical Design and Implementation l l l l l

TE0-144 – Teradata 14 Database Administration l l

TE0-145 – Teradata 14 Solutions Development l l l

TE0-146 – Teradata 14 Enterprise Architecture l l

TE0-147 – Teradata 14 Comprehensive Mastery l

Upgrade Path From Teradata 12: Recommended Preparation CoursesTeradata Warehouse Differences: 13.0, 13.10, and 14.0 (including SLES 11) l l l l l

Teradata Application Utilities l l l l

Teradata Parallel Transporter l l l l

Teradata Warehouse Management l l l

Teradata Warehouse Administration l l l

Teradata Application Design and Development l l l

Certification ExamsTE0-14B – Teradata 14 Bridge from Teradata 12* l l l l l

TE0-144 – Teradata 14 Database Administration l l

TE0-145 – Teradata 14 Solutions Development l l l

TE0-146 – Teradata 14 Enterprise Architecture l l

TE0-147 – Teradata 14 Comprehensive Mastery l

Upgrade Path For Teradata 12 MastersTE0-147 – Teradata 14 Comprehensive Mastery l

Recommended Experience 6-12 Mos 1-2 Yrs 2-3 Yrs 2-3 Yrs 2-3 Yrs 5+ Yrs

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Teradata Education Course Catalogassets.teradata.com/pdf/TEN/Course_Catalogs/Terada... · • Online learning content via webcasts and ... Hadoop Pre-requisite Course (+) 2-4 days