Calpont CTO Jim Tommaney provides an overview InfiniDB 3, Calpont’s analytic data platform. Discussion Topics •How InfiniDB is architected for Big Data analytics •How InfiniDB is provisioned for Amazon EC2 with an AMI •How to quickly create a small or large cluster •How InfiniDB’s parallel load capabilities deliver linear load scaling

1. Calpont InfiniDB®
Accelerating Data Insights
®
InfiniDB 3: Speeding Big Data Analytics in Amazon EC2
Jim Tommaney, CTO Calpont
June 2012

2. Today’s Presenter - Jim Tommaney
• Calpont’s Chief Technologist
• Architect of InfiniDB
• 25 years experience in applied data
technologies for BI and analytics
• Drives InfiniDB roadmap and futures
• Closely engaged in client deployments
and POCs
InfiniDB® Scalable. Fast. Simple. 2 © 2012 Calpont. All Rights Reserved.

3. Today’s Discussion
• Introduction
• InfiniDB Architecture for Big Data Analytics
• InfiniDB 3
o Provisioned for Amazon EC2
o Demo – Creating a small or large cluster
o Parallel load options for load scaling
o Demo – Cpimport Load for MPP
InfiniDB® Scalable. Fast. Simple. 3 © 2012 Calpont. All Rights Reserved.

4. How Fast is the World’s Big Data Footprint Growing?
How Big is a Byte?
How is Data Growing Daily?
1 gigabyte 1000000000 bytes 15 petabytes of new information is
1000 gigabytes 1 terabyte created each day – 8x more
information than in all the libraries
1 million terabytes 1 Exabyte in the United States
1 billion terabytes 1 Zettabyte
Experiments at the CERN
laboratory generate 40 TBs of data
every second
IT Implications of Big Data
Wal-Mart - one million transactions every hour,
feeding databases that store 2.5 petabytes –
167 times the books in American’s Library of
Congress
InfiniDB® Scalable. Fast. Simple. 4 © 2012 Calpont. All Rights Reserved.

5. Evolution of the Analytic Platform
OLAP
Analytic
DBMS MOLAP Platforms
Relational Extensions Cubes
Systems
Commercialize
Relational
Prototypes
First DBMS
(IDS)
1960s 1970s 1980s 1990s 2000s 2010+
InfiniDB® Scalable. Fast. Simple. © 2012 Calpont. All Rights Reserved.

6. What is InfiniDB?
Simple, Powerful Platform for Big Data Analytics
Columnar Performance Efficiency
Widely used MySQL Interface
MPP, MapReduce style Query Execution
6
InfiniDB® Scalable. Fast. Simple. © 2012 Calpont. All Rights Reserved.

7. Benefits of InfiniDB
Real-time, Consistent Query Performance
Linear Scale for Massive Data
Removes Limits to Dimensions and Granularity
Easy to Deploy and Maintain
InfiniDB® Scalable. Fast. Simple. 7 © 2012 Calpont. All Rights Reserved.

8. How InfiniDB is Used
Analytic Needs Analytic Data Environment Data Integration Big Data Sources
Data Warehouse
ETL
Transactional
Dimensional
Analytics Hadoop
Operational
Analytic Data MDM
Data Discovery
Store
Legacy
Direct Load Model RDBMS
Predictive
Analytics
InfiniDB® Scalable. Fast. Simple. © 2012 Calpont. All Rights Reserved.

9. Big Data Reference Architecture
Analytic Needs Analytic Data Environment Data Integration Big Data Sources
ETL
Transactional
Dimensional
Analytics
Hadoop Operational
Data Discovery
MDM
Legacy
RDBMS
Predictive
Analytics
InfiniDB® Scalable. Fast. Simple. © 2012 Calpont. All Rights Reserved.

10. InfiniDB Product Evolution
InfiniDB 3
InfiniDB 2.0
InfiniDB 1.5
• Parallel Load for Big Data
• UDFs for In-database • Transparent provisioning
analytics and run time operations on
• Real-time compression
InfiniDB 1.0 • Enhanced partitioning Amazon EC2
• Full parallel sub-query
• UTF-8 Support • Enhanced parallelization
• Expanded SQL support
• Added support for
additional Linux
• 100% Columnar platforms
• Full scale-out MPP
• Fully integrated map
reduction operations
• High speed data load
InfiniDB® Scalable. Fast. Simple. 10 © 2012 Calpont. All Rights Reserved.

11. InfiniDB 3
Increasing Flexibility while Preserving Simplicity and Speed
Unmatched Deployment
Simplicity and Flexibility
Speed
Easier to…
• Take advantage of Cloud deployments
• Load Massive Data for Distributed HW
InfiniDB® Scalable. Fast. Simple. 11 © 2012 Calpont. All Rights Reserved.

12. InfiniDB 3 - New Capabilities
Prepackaged AMI for Transparent support of EC2
automatic provisioning of virtual storage and data
InfiniDB nodes on EC2 redundancy (EBS) polices
InfiniDB® Scalable. Fast. Simple. 12 © 2012 Calpont. All Rights Reserved.

13. Accessing the InfiniDB AMI Trial
1. Calpont.com/tryinfiniDB
2. Select the AMI option
3. Provide AWS #
4. Calpont will provide
access within 24 hrs
InfiniDB® Scalable. Fast. Simple. 13 © 2012 Calpont. All Rights Reserved.

14. Big Data Reference Architecture
Analytic Needs Analytic Data Environment Data Integration Big Data Sources
ETL
Transactional
Dimensional
Analytics
Hadoop Operational
User
Module
Data Discovery
Performance
Module
MDM
Legacy
RDBMS
Predictive
Analytics
InfiniDB® Scalable. Fast. Simple. © 2012 Calpont. All Rights Reserved.

15. InfiniDB AMI
DEMO

16. InfiniDB 3 - New Capabilities
• Parallel Data Load designed for Big Data
SIMPLE
Same simple command
Several data load configurations possible
SCALABLE
Linear performance as more nodes participate in the loading
FAST
No query performance degradation during data load
InfiniDB® Scalable. Fast. Simple. 16 © 2012 Calpont. All Rights Reserved.

17. InfiniDB 3 - Parallel Data Load Options
Single Bulk Parallel Bulk
Bulk Load,
Load, Load,
Central
Partitioned Partitioned
n partitioned n partitioned
1 data source
data sources data sources
1 single 1 single n bulk load
command command commands
Auto distribution n Performance n Performance
across S/N Module nodes Modules
InfiniDB® Scalable. Fast. Simple. 17 © 2012 Calpont. All Rights Reserved.

18. InfiniDB Cpimport Load
DEMO

19. InfiniDB 3 – Key Takeaways
Scalable with Amazon but same
platform you are used to on-premise
“Based on this survey, the
data warehouse vendor with
Easier to deploy with AMI the happiest customers in
2011 was Teradata, followed
by CALPONT, then IBM,
Extended load performance to MPP followed by Kognitio and
deployments Kalido”
Andy Hayler
Information Difference
2011 DW Landscape
Survey
InfiniDB® Scalable. Fast. Simple. © 2012 Calpont. All Rights Reserved.

20. ®
www.calpont.com
@Calpont, @InfiniDB