Course Content : SAP HANA
Unit 1- Introduction
1.1 Overview Of SAP HANA 1.0
1.2 Components
1.3 Hardware Vendors
Unit 2- Architecture
2.1 Appliance Architecture Overview
2.2 Database Engine View
2.3 Dat-Loading View
2.4 Dat- Modeling View
2.5 Reporting View
2.6 Administration View
2.7 Persistence Layer
Unit 3- SAP HANA Setup
3.1 System Landscaping
3.2 Sizing Guidelines
Unit 4- Data Provisioning
4.1 Via Data services
4.2 Via Sybase replicator
4.3 SLT Repllication Transformation
4.4 DXC
Unit 5- SAP HANA Studio Introduction
5.1 Administration Console
5.2 Information Modeler
5.3 Life Cycle Management
Unit 6- SAP HANA Modeling
6.1 Attribute View
6.2 Analytic View
6.3 Calculation View
6.4 Export & Import
6.5 Other functions
Unit 7- Reporting
7.1 Client Connectivity options
7.2 SAP BO BI 4.0
7.3 MS-Excel
7.4 SAP BO Analysis
7.5 SAP BO Explorer
7.6 Semantic Layer (Universe)
7.7 SAP Crystal Reports (Enterprise,Dashboards & WebI)
7.8 SAP Crystal Reports 2011
Unit 8- User Management & Backup
8.1 Managing Users & Roles
8.2 BI/BO 4.0 Integration & SSO
8.3 Security & Authorization
8.4 Backup & Recovery
8.5 Diaster Tolerance Hardware
Unit 9- Other Topics
9.1 SAP BW on HANA
9.2 Role of Solution Manager in SAP HANA
9.3 COPA Business case
9.4 Rapid Deployment Solution
9.5 IMDB Client Installation overview
9.6 Appliance Enterprise Server
9.7 Scale Up/Out Configuration
9.8 Distributed system Landscape & handling
9.9 Port numbers-Distributed transaction handling
9.10 MVCC
----------------------------------------------------------------------------------------------------------------------------------
SAP HANA MODELLING & IMPLEMENTATION
SAP HANA INTRODUCTION
Information Explosion Consumerization of ‘IT’ ‘IT’ cannot deliver Reality with SAP HANA SAP In-Memory Appliance SAP HANA proof Points New business reality and Challenges SAP Naming Update—SAP HANA Hardware Innovations Bottlenecks Understanding Columnar Data Storage When to use Column store When to user Row Store Avoid Bottlenecks --Data Transfer --Partitioning --Parallel Processing
SAP HANA DATABASE PERFORMANCE REASONS
Classic EDW Current—SAP HANA Planned—SAP HANA SAP HANA Compared to BWA SAP HANA Database SAP HANA RDS SAP HANA SCENARIOS
Application serve ABAP based Scenarios
HANA as secondary database HANA as primary database Datamarts with SAP HANA Applications on top of HANA SAP BW powered by HANA SAP HANA Cloud
SAP HANA STUDIO
Look and Feel Different Perspectives Administration Console Modeler Application Development Catalog Content Security
SAP HANA LICENSING
SAP HANA Versions SAP HANA Platform Edition SAP HANA Enterprise Edition SAP HANA Enterprise Extended Edition
SAP HANA IMPLEMENT LANDSCAPE
HANA Database HANA Client HANA Studio Data sources Replication Technologies BO-Data services SLT Replication server
DXC Sybase Replication server Admin workstation End-user Workstation
SAP HANA Architecture
SAP HANA Persistence layer
SAP HANA Backup and recovery
DATA PROVISIONING
Data Replication –Definition Data Replication Methods
UPLOADING DATA FROM FLAT FILES
When to use Flat file upload Functionality How to load data from Flat file in Workstation How to load data from Flat File in server Using Information Composer
Uploading Files Composing Views
SAP BO-DATA SERVICES
Introduction to BODS Data services –One stop solution Data Integration ,Data Quality , Data Profiling, Metadata management and Text data analysis Working with BODS BODS server Repository Job server Management Console Data services Designer Creating Formats Creating Datastores Creating projects Creating batch jobs Scheduling and monitoring Batch jobs Creating Dataflows Creating Connection to HANA Db
IMPLEMENTATION SCENARIOS
SCENARIO-1
Loading Data from Excel File to HANA Database table Loading Data from Flat File to HANA Database table Using Template tables
SCENARIO-2
Loading Data from Oracle Database to HANA Database
SCENARIO-3
Loading Data from SAP ECC to HANA Database with Dataflow
SCENARIO-4
Loading Data from SAP ECC to HANA Database With ABAP Datalow
SCENARIO-5
Loading Data from SAP BW to SAP HANA Database
SCENARIO-6
Loading Metadata from SAP ECC to HANA Database
DATA PROVISIONING USING SLT
SAP Landscape Replication server for HANA Key benefits of SLT replication server Key benefits of Trigger-Based Approach Architecture for SAP source replication Architecture for Non-SAP source replication Configuration and monitoring Dashboard for HANA(LTR) Creating new Configuration for SAP Sources Creating New Configuration for Non-SAP sources Result of Creating new Configurations Launching Data provisioning UI in HANA studio Start Load/Replication Stop/Suspend replication Status Monitoring in HANA Studio SLT based transformation Concept Advanced replication settings Change of table structuring and partitioning Filtering and selective data replication
DATA PROVISIONING USING SAP DIRECT EXTRACTOR CONNECTION(DXC)
Overview
DXC Concept Challenges DXC benefits Activation mechanism for handling Delta Processing Data source Extractor Concept SAP Business Content Data source Extractors SAP HANA DXC Connection setup and Configuration Activating Data sources in Source system Understanding the tables of IMDSO Creating info package and Scheduling data load Monitoring Data loads Comparisons with other data acquisition techniques DXC sidecar approach.
SAP HANA MODELLING
General DWH concepts Importance of Data Modeling ER model Multi Dimensional Model Star Schema Implementing Data models in BW Implementing Data models in HANA Introduction to Modeler Levels of Modeling Attribute Views Time Dimension Attribute Views Derived Attribute Views Shared Attribute Views Calculated Columns Hidden Attributes Using Hierarchies Implementing Leveled Hierarchies Parent Child Hierarchies Applying Filters Analytic Views Multi Dimensional Model with Analytic views Calculated Measures Calculated Attributes Restricted Measure Concept Variables and Input parameters Calculation views
Graphical Calculation views Using Union,Join,Projection,Aggregation Scripted Calculation views Approaching HANA modeling Choosing Views for the Information Model Connecting Tables
Using Inner Join,Left outer Join , Right Outer Join, Full Outer Join ,Text Join ,Referential Join, Union
SAP HANA SQL
Introduction SQL Elements Comment and Codepage Fuctions SQL Statements Create table,Alter,Drop Insert ,Update,Delete Select Statement SQL script and procedures Creating procedures Creating Table types Calling Procedures Using CE-Functions Control Statements
USING CURRENCY CONVERSIONS
Understanding Currency Conversions in SAP HANA Applying Currency Conversions Full Text Search Fuzzy Search
PROCESSING INFORMATION OBJECTS
Validate Models Compare Versions of Information objects Checking Model references Generate Auto Documentation
MANAGING MODEL CONTENT
Manage Schemas Import & Export Models Developer Mode
Delivery unit mode Support mode Translating Metadata Text
SECURITY AND AUTHORIZATIONS
HANA privileges Creating users Creating Roles Assigning privileges and Roles to users
REPORTING
SAP HANA Database Connectivity options Relational Connection with HANA Db OLAP Connection with HANA Db
MICROSOFT EXCEL
Lumira (Visual Intelligence) SAP BO Analysis for Office Using IDT Creating Connection,Datafoundation,Business layer Creating Webi Documents Dashborads Crystal Reports for Enterprise Crystal Reports 2011 Publishing HANA Models to SAP BW Creating BEx Reports
SAP HANA training course content and Syllabus in Bangalore
SAP HANA Introduction and Architecture
SAP HANA Overview SAP In-Memory Computing Overview SAP HANA Features Look and feel of SAP HANA SAP HANA Architecture SAP HANA Landscape Structure of SAP in-memory Computing studio Row store and column store Architecture
Multi Version Currency Control ( MVCC ) Persistence Layer in In-memory Computing Engine Back up &Recovery High-Availability Distributed System Data Provisioning options in SAP HANA Reporting options on SAP HANA Security options in HANA SAP HANA Appliance Model How SAP HANA Appliance is delivered Sizing Considerations SAP HANA - Licensing Options SAP HANA Project Implementation Overview: Key Activities Key Roles Key Points to keep in mind Administration
Basic Modeling
Modeling Overview Terminology SAP HANA Studio Features Information Modeler Overview Installation and Configuration of HANA Studio Prerequisites for Modeling Modeling Considerations Levels of Modeling Attribute Views Analytic Views Modeling Considerations Joins: Different types and when to use what. Where Class Vs Constraint Filters HANA Studio Preview(use with Caution) Impact of Query Execution Demo Modeling Suggestions Troubleshooting Modeling Issues Export and Import Models
Reporting on HANA with BI 4.0
HANA Reporting Layer & Connectivity Options Reporting on HANA Clients Reporting on HANA Open Interfaces Prerequisites for reporting on SAP HANA
IMDB client installation Setting up new connection SAP Business Objects BI4.0:Overview & tool comparison Analytical Reporting on HANA Relational Reporting on HANA Reporting on HANA Demo Included Native Excel Interface via ODBO SAP Business Object Analysis(Office Edition) SAP Business Object Explorer Semantic Layer Approach IDT Vs Universe Designer SAP BOBJ Web I SAP BOBJ Xcelsius SAP Crystal Reports Enterprise Vs 2011 Front end tool reporting considerations on top of HANA Troubleshooting common reporting issues
Advanced Data Modeling with SQL Script
Modeling Overview Calculation View :Overview & Types SQL Script :Motivation SQL Script: Overview SQL Script Processing Data Type Extensions Scalar Data type Table type Functional Extension Concept Procedure Procedure Calls Implementing Functional logic Operators SQL Script/Built in Function Debugging and troubleshooting SQL Script Restrictions for SQL Statement
Data Provisioning: Data Services
Data Provisioning :Overview Data Provision Options Trigger Based Replication ETL-Based Replication Log-Based Replication SAP Business Objects Data Services 4.0 and HANA
ODP enabled Extractor Support in Data Services 4.0 HANA and Data Service Process flow for SAP and non-SAP data How it works for SAP System How it works for Non-SAP System Advanced Data Service options Column tables creation Bulk loader options & config Bulk extracting options & config Log based replication overview Technical system landscape User administration Authorization Installing log based replication Updating the SAP host agent on source system Installing Sybase components Deploying the SAP HANA load controller and related components Configuring log based replication Configure SAP HANA load controller on SAP HANA system Initializing replication using SAP HANA system Initializing replication using SAP HANA load controller
SAP HANA 6: DATA PROVISIONING: SAP LANDSCAPE TRANSFORMATION (SLT)
Data provisioning overview SAP landscape transformation set-up Options for SLT landscape installation Post installation stem Concept of SLT replication Architecture and key building block Technical requirement and system set-up information for LT replication server Key benefits of LT replicating server Transformational capabilities Operations Security and user management in HANA Creation of users Creation of roles Assignment privileges to roles Assignment of users to roles
SAP HANA Contents 1. SAP HANA Overview & Roadmap (What is SAP HANA?) 1.1. SAP HANA in a Nutshell 1.1.1. Evolution of In Memory computing at SAP 1.1.2. History HANA 1.1.2.1. Early projects
1.1.2.2. 2005 Genesis 1.2. Business Impact of new architecture 1.2.1. Not about IT, its about running a real--‐time business 1.2.2. Increasing data volumes 1.2.3. Increasing number of users (mobile) 1.2.4. Need for Flexibility 1.2.4.1. Business needs driving changes in existing systems 1.2.4.1.1. Ad--‐hoc addition of new requirements 1.2.5. Operational Non--‐Disruption with a Disruptive Innovation 1.2.6. “Impedance Mismatch” 1.2.6.1. Load performance 1.2.6.2. Query Performance 1.3. In Memory Computing Basics 1.3.1. Faster, Better, Cheaper 1.3.1.1. Risk & Maturity of disk vs memory dbms 1.3.1.2. Platform for the future 1.3.1.3. iPod example 1.3.1.4. Moore’s law 1.3.1.5. What happens when the power goes out? 1.3.2. Cost x GB x Second calculation 1.3.3. Row Store, Column Store, Persistency Layer, Architectural Concept 1.4. SAP HANA Architecture Overview 1.4.1. Engines 1.4.2. Tools 1.4.3. Data Provisioning 1.4.4. Data Modeling 1.5. SAP HANA 1.0 Use Cases 1.5.1. Agile Data Mart 1.5.1.1. HANA in Action stories 1.5.2. ERP Turbo Charging 1.5.2.1. Accelerators 1.5.3. BW on HANA 1.5.4. Application Platform (Apps powered by HANA) 1.5.4.1. SAP Built apps 1.5.4.2. Partner built apps 1.5.4.3. Custom apps (JAVA/ABAP/ETC) 1.6. SAP HANA Roadmap 1.6.1. HANA today 1.6.2. HANA 2.0 (Suite) 2. SAP HANA Architecture 2.1. Introduction 2.2. General Architecture Overview 2.3. Hybrid Row & Column store engine 2.3.1. Describe Row store 2.3.2. Describe Column store 2.3.3. Why a hybrid? Best of both worlds
2.3.3.1. Many scenarios need both transactional/metadata and it needs to be calculated/aggregated.
2.4. Compression 2.4.1. Optimized for fast access to data 2.4.2. Partial indexing 2.5. Partitioning (memory allocation) 2.6. Delta updates 2.7. Insert Only 2.7.1. Time Traveling 2.8. MDX Engine 2.9. Calculation Engine 2.10. Business Content/Semantic Functions 2.10.1. Business Function Library 2.10.1.1. Currency Conversion 2.10.1.2. Consumable pre--‐built functions 2.10.2. Predictive Function Libraries 2.11. HANA Studio 2.12. Client Connectivity 2.12.1. Interfaces (ODBC, JDBC, SQL, MDX) 2.13. High Availability 2.13.1. Persistency 2.13.2. Disaster Tolerance 2.14. Multi--‐tenancy 2.15. HANA Cloud 3. SAP HANA Business Cases & ROI Model 3.1. Introduction 3.1.1. Leverage multiple scenarios, not just one specific use case 3.1.2. Focus on things you CAN’T do today 3.1.3. Involve the business up front and along the way, not a typical IT business case 3.1.4. Think big, start small with a quick win to build momentum in business 3.1.4.1. Users will generate many new possibilities once they see something tangible 3.2. Identify Business Scenario 3.2.1. Value Discovery Workshops 3.2.2. Operational 3.2.3. Strategic 3.2.4. Transactional 3.2.5. Analytic 3.3. Building a business case for SAP HANA 3.3.1. The real tools come into play after the real--‐time business scenario and app have
been Identified 3.3.2. Map Value Drivers for scenario 3.3.3. Identify KPIS and map to value drivers 3.3.4. Describe Benchmarking Database 3.3.5. Map results of benchmarking to create reference model for scenario improvement 3.4. Build ROI Model 4. SAP HANA Applications
4.1. Application Introduction 4.1.1. How are these new apps made possible with HANA 4.2. SAP NetWeaver Business Warehouse on SAP HANA 4.3. SAP Trade Promotion Management 4.4. Sales and Operations Planning 4.5. Business Planning and Consolidation 4.6. Smart meter analytics 4.7. Predictive Text 4.8. Dynamic cash management 4.9. SAP BusinessObjects Sales Analysis for Retail powered by SAP HANA 4.10. Profitability analysis accelerator for SAP ERP (CO--‐PA) 4.11. SAP Finance and Controlling Accelerator. 4.12. SAP Sales Pipeline Analysis powered by SAP HANA 5. Accelerated SAP Business Suite 5.1. Overview 5.1.1. Philosophy 5.1.1.1. Single Applications 5.1.1.2. Whole Suite 5.1.2. Side car architecture 5.1.3. Table replication 5.1.4. Two options 5.1.5. Write--‐back scenario 5.2. Current Offering 5.3. Roadmap 6. SAP BW on SAP HANA 6.1. Introduction 6.1.1. Why BW on HANA is so freaking cool 6.1.2. 7.30 background 6.2. SAP HANA--‐specific enhancements 6.2.1. Cubes 6.2.2. DSO 6.2.3. Data Loading 6.2.4. Integrated Planning 6.2.5. Agile Data Modeling 6.2.6. Columnar compression 6.2.7. Landscape Simplification/Lower TCO. 6.3. Implementation 6.3.1. Things to consider 6.3.1.1. Clean up and migrate 6.3.1.2. Migrate as--‐is 6.3.2. Big Bang 6.3.3. Incremental/Parallel 6.3.4. Prerequisites & Limitations 6.3.5. Scoping/Sizing 6.3.5.1. Source database (size & vendor) 6.3.5.2. Compression rate calculations
6.3.6. Link to outside info or OSS NOTE 6.3.7. Link to Sizing calculator 6.3.8. Landscape Options 6.3.8.1. Things to consider 6.3.8.2. Single--‐node (2--‐tier) (dev/prod) 6.3.8.3. Multi--‐node (3--‐tier) (dev/qa/prod 6.3.8.3.1. Start with copy of productive system 6.3.8.4. Set up Greenfield position 6.3.9. Near Line Storage w/IQ 6.3.9.1. Hot vs cold data concept 6.3.10. Connect one ERP to 2 BW systems 6.3.10.1. Post copy automation (PCA) 6.4. Database Migration 6.4.1. SAPINST tools for DB export 6.4.2. Exports flat files to temp storage 6.4.3. SAPINST tools for DB import 6.4.4. Import flat files from temp storage to HANA 6.4.5. Unicode conversion is possible as part of process 6.4.6. Key Problems: Production downtime 6.4.7. Performance details (query, data load to info cubes, DSO, remodeling) 6.4.8. Query Performance 6.4.8.1. Simple/Standard 6.4.8.2. Complex/Custom 6.4.8.2.1. Power user granular detail, millions of rows 6.4.9. DSO activation 6.4.10. Data Loading 6.4.10.1. Extract from ERP system activate and load into Cube 6.4.10.2. Large flat file (POS) import into BW (smart meter demo) 6.4.11. Remodeling 6.5. Administration & Operations 6.6. Future Roadmap 7. Data Provisioning with SAP HANA 7.1. Introduction to Data Sources 7.1.1. SAP, non--‐SAP (custom apps or 3rd party apps) 7.1.2. Replication approaches 7.1.2.1. Real time, batch. 7.2. Provisioning & Replication Scenarios 7.2.1. How do you extract data from source system and get it into HANA? 7.2.1.1. What tools are available? 7.2.1.1.1. DS, SLT, DEC, 7.2.1.1.2. When to use which tool 7.2.1.1.3. Semantics and differences 7.2.1.2. What are the steps? 7.2.1.3. Real time or Batch? 7.2.2. SAP real time 7.2.3. SAP batch 7.2.4. Non--‐SAP real time
7.2.5. Non--‐SAP batch 7.3. Event Streaming 7.3.1. Sybase ESP to HANA 7.3.2. Event Insight to HANA 7.4. BOBJ Data Services 7.4.1. Supportability Matrix for source system 7.4.2. Complex data scenarios with transformations 7.4.3. Batch ETL tool for non--‐SAP 7.4.4. Not real time 7.4.5. ODBC connection 7.5. SAP Landscape Transformation (SLT) 7.5.1. Process overview 7.5.2. SLT Plug In listings (supportability matrix) 7.5.3. Real time for SAP and non--‐SAP 7.5.4. Trigger Based 7.5.5. Fully integrated with HANA studio (screenshot) 7.5.6. Transformation capabilities via R in ABAP 7.6. Direct Extractor Connection (DEC) 7.6.1. NO ETL 7.6.2. Native BW extraction capability to connect to HANA 7.6.3. ICM Framework 8. Data Modeling with SAP HANA 8.1. Key Concepts in Data Modeling for HANA 8.1.1. Components of HANA data model 8.1.1.1. Views 8.1.1.1.1. Analytical Views 8.1.1.1.2. Calculation Views 8.1.1.1.3. Attribute Views 8.1.1.2. Tables 8.1.1.3. Measures 8.1.1.4. Filters 8.1.1.5. Dimensions 8.1.2. Common Scenarios 8.1.2.1. Calculations 8.1.2.2. Filtering 8.1.2.3. Aggregations 8.2. SAP HANA Modeling Environment 8.3. SAP HANA Information Composer 8.4. SQL Scripting 9. Application Development & Data Consumption with SAP HANA 9.1. App Development Basic Concepts 9.1.1. Re--‐thinking assumptions used for app logic 9.1.1.1. Living in a world without constraints/penalties 9.1.1.2. Assume super--‐computer capabilities for everything 9.1.1.3. The CRUD dilemma 9.1.2. Development tool kits
9.1.3. Native development or extension 9.1.3.1. Zprograms 9.1.4. Data sources and pre--‐calculations 9.1.5. New assumptions about data capabilities 9.1.6. HANA artifacts 9.1.7. DBSL 9.1.8. Platform options 9.1.8.1. ABAP, NGAP, etc 9.2. ABAP Apps 9.3. JAVA Apps 9.4. Analytic Apps 9.4.1. Explorer 9.4.2. Dashboards (excelcius) 9.4.3. Microsoft Excel 9.4.4. Crystal Reports 9.4.5. Webi 9.4.6. BOBJ SDK 9.5. Mobile Apps 9.6. Full Text search and text analysis 9.7. Partner Apps 9.8. (Predictive) R & L scripting languages 10. SAP HANA Administration, Operations & Security 10.1. SAP HANA Admin Console 10.1.1. Walk thru of views in HANA Studio 10.1.1.1. Different sections 10.1.1.2. Common Admin & Operations Tasks 10.1.1.2.1. Backup Restore 10.1.1.2.2. Monitoring 10.1.1.2.3. Memory allocation 10.1.1.2.4. User Management 10.1.1.2.5. License Key 10.1.1.2.6. Alerting Infrastructure 10.1.1.2.7. Statistics Server 10.1.1.2.8. Performance Tuning 10.2. DBA Cockpit 10.2.1. Backup Scheduling 10.2.2. Solution Manager 7.1 SP4 Integration 10.3. Integration and Monitoring Infrastructure 10.3.1. CCMS alerts 10.3.2. Maintenance Optimization 10.4. Data Archiving 10.4.1. Outside of HANA 10.4.2. Integration with Tivoli, etc. 10.5. Security 10.6. Lifecycle Management 10.6.1. Two kinds
10.6.1.1. Content LCM 10.6.1.2. Software LCM 11. SAP HANA Hardware 11.1. Overview of General Hardware Requirements 11.1.1. Intel E7 processors 11.1.1.1. Intel HANA story 11.1.2. SUSE Linux 11 sp1 11.1.3. SSD or Disk backup 11.1.4. T--‐Shirt Sizing 11.1.5. Validated by SAP 11.1.6. Additional Infrastructure 11.2. Scale Out/Multi--‐node options 11.3. Official HANA PAM 11.4. Listing and descriptions of all Certified SAP HANA Hardware by Vendor 11.4.1. Overview of HANA solutions provided 11.4.1.1. What’s the unique value prop? 11.4.1.2. Product family 11.4.1.3. T--‐Shirt sizes offered 11.4.1.4. Scale--‐out offering 11.4.1.5. High Availability 11.4.1.6. Support infrastructure (SAN, etc) 11.4.1.7. Additional software needed 11.4.1.8. Support Services 11.4.2. Additional HANA services 11.4.2.1. Implementation, etc 11.4.3. Customer success stories (short) 11.4.4. Contact information for inquiries 12. SAP HANA Projects & Implementation 12.1. Different Use cases (BW vs other use cases) 12.2. Project Scoping and Documentation 12.3. Timelines and Key Activities 12.4. Project Team Members (Skillsets/activities) 12.5. Examples of stellar projects 12.6. SAP RDS packages 12.7. “Top Ten” Advice for HANA Projects 13. SAP HANA Resources 13.1. Experience HANA site 13.2. Key Resources for Sample Projects 13.3. SAP Support Organization 13.4. Training and skills resources 13.5. SDN 13.6. Benchmarking database 13.7. Blogs/Twitter feeds
Recommended
