IBM's big data platform allows companies to: 1) Analyze large volumes and varieties of structured and unstructured data from multiple sources. 2) Perform real-time streaming analytics on high volumes of data. 3) Discover new insights and experiment with large datasets through ad-hoc queries and analysis.

1. IBM Enterprise Big Data
Information Management
© 2012 IBM Corporation

2. Information Management
IBM Enterprise Big Data
2 © 2012 IBM Corporation

3. Information Management
What does a Big Data platform do?
Analyze a Variety of Information
Novel analytics on a broad set of mixed
information that could not be analyzed before
Analyze Information in Motion
Streaming data analysis
Large volume data bursts & ad-hoc analysis
Analyze Extreme Volumes of Information
Cost-efficiently process and analyze petabytes of information
Manage & analyze high volumes of structured, relational data
Discover & Experiment
Ad-hoc analytics, data discovery &
experimentation
Manage & Plan
Enforce data structure, integrity and control to
ensure consistency for repeatable queries
3 © 2012 IBM Corporation

4. Information Management
IBM Big Data Platform
InfoSphere BigInsights
Hadoop-based low latency
analytics for variety and volume
Hadoop (NoSQL)
Information Stream
InfoSphere Information
Server
Integration Computing InfoSphere Streams
Low Latency Analytics for
High volume data integration and streaming data
transformation
MPP Data Warehouse
IBM InfoSphere IBM Netezza High IBM Netezza 1000 IBM Smart Analytics
Warehouse Capacity Appliance BI+Ad Hoc Analytics Structured
System
Large volume Queryable Archive Data Operational Analytics on
structured data Structured Data Structured Data
analytics
4 © 2012 IBM Corporation