1

Moving Cold Data to Hadoop

2

2 Trends

Forcing a revolution in enterprise architecture

3

Industry Leaders Compete and Win with Data1TREND

More Data Beats Better Algorithms

Collecting interaction data from ecommerce, social media, offline, and call centers enables a “customer 360 view” and consumer intimacy

Competitive Advantage is Decided by 0.5%

Consumer financial services: 1% improvement in fraud detection means hundreds of millions of dollarsAdvertising and retail: 0.5% improvement in lift means millions of dollars increase in profitability

4

Big Data is Overwhelming Traditional Systems

• Mission-critical reliability• Transaction guarantees• Deep security• Real-time performance• Backup and recovery

• Interactive SQL• Rich analytics• Workload management• Data governance• Backup and recovery

Enterprise Data

Architecture

2TREND

ENTERPRISE USERS

OPERATIONAL SYSTEMS

ANALYTICALSYSTEMS

PRODUCTION REQUIREMENTS

PRODUCTION REQUIREMENTS

OUTSIDE SOURCES

5

And 2 Realities

6

OPERATIONAL SYSTEMS

ANALYTICALSYSTEMS

ENTERPRISE USERS

1REALITY

• Data staging• Archive

• Data transformation• Data exploration

• Streaming, interactions

Hadoop Relieves the Pressure from Enterprise Systems

2 Interoperability

1 Reliability and DR

4Supports operations and analytics

3 High performance

Keys for Production Success

7

FOUNDATION

Architecture Matters for Success2REALITY

Data protection& security

High performance

Multi-tenancy

Real-time operational & analytical apps

Open standards for integration

NEW APPLICATIONS SLAs TRUSTED INFORMATION LOWER TCO

8

Data Warehouse Optimization

9

TDWI: Evolving Data Warehouse Architectures

2

1 Data Staging & Archive

3 Big Data Analytics

2 ETL

Hadoop Uses inData Warehouse Environment

Source: TDWI April 2014

10

The MapR Advantage

• Scale Reliability Across the Enterprise– Advanced multi-tenancy– Business continuity – HA, DR

• Speed– 2-7x faster than other Hadoop distro’s– Ultra-fast data ingest (100M data points per sec)– NFS & R/W file system

• Real-time & Self-Service Data Exploration– On-the-fly SQL without up-front schema– Fast lookups and queries

Best Hadoop Platform for Data Warehouse Optimization & Analytics

Security

Streaming

NoSQL & Search

Provisioning &

coordination

ML, Graph

Workflow & Data Governance

Batch

SQL

INTEGRATED

COMMERCIAL

ENGINES

TOOLSCOMPUTE

ENGINES

Batch

Interactive

Real-time

Online

Others

Management

Operations

Governance

Audits

Security

MapR-FS MapR-DB

MapR Data Platform

11

Attunity SolutionsRight Data. Right Place. Right Time.

12

Attunity – Growing, Modular Portfolio

Delivering Big Data

for Analytics

13

Data Warehouse Optimization with Hadoop

1

2

3

Assess and identify data and workloads to rebalance on Hadoop

Develop a roadmap to move data and workloads

Implement the roadmap incrementally and iteratively

14

Completely analyze workloads and data usage

Reduce costs | Optimize performance | Justify investments

The Data Dashboard

User Activity Data Usage Workload Performance

Attunity Visibility – The Data Dashboard

15

Attunity Replicate

• Real-time data movement• Change Data Capture (CDC)

• Broadest platform support• Files - MF - RDBMS - Hadoop

• Non-intrusive architecture

• Automation of standard maintenance tasks

• “Click-to-Load” design

16

MapR and Attunity

17

MapR and Attunity Are a Great Partnership

• Complimentary set of enterprise-grade features– Focus on Data

• Movement• Identification• Usage• High availability• Scale

• Data Warehouse Optimization– Experience across broad set of use cases/workloads

• Customer 360 view• Telco• Internet of Things (IoT)

18

Additional Resources

• Go to: www.Attunity.com/mapr• Find us on Twitter:

– @mapR– @attunity

• Watch our video• View the Moving Cold Data to Hadoop webinar