1. Keith Bodell, Account Executive - Federal Matt Campbell, Systems Engineer - Federal NetezzaTwinFin

2. 2009 | Confidential Data Warehouse - Why Twin Fin? Simplicity and Cost-Effectiveness Develop requirements Design logical data model Load data GO Performance and Scalability AMPP architecture Advanced analytics platform Petabyte+ capacity Linear scalability

3. 2009 | Confidential “Classical” Data Warehouse Creation Tasks Requirements Definition Logical Data Model Design Physical Database Design Access paths/Indices Physical data placement Cache strategies Latency requirements Aggregations Reporting vs. Analytics Installation and Configuration Ensure OS, DBMS, Clustering, and Disk Management compatibility Database definition (SQL DDL) Load Tuning

4. 2009 | Confidential “Classical” Data Warehouse – New Application Define requirements Re-consider: Access paths/Indices Physical data placement Cache strategies Latency requirements Aggregations Reporting vs. Analytics Examine cost, effort, and performance impact on existing applications Accept or reject, If accepted: Evaluate current environment – any upgrades required? Installation/Configuration Operating systems, DB, Clustering, Disk management compatibility Database definition (SQL DDL) Load Tuning

5. 2009 | Confidential Netezza Data Warehouse Creation Tasks Requirements Definition Logical Data Model Design Physical Database Design – Make decisions regarding: Access paths/Indices Physical data placement Cache strategies Latency requirements Aggregations Reporting vs. Analytics Installation/Configuration Ensure Operating system, DB, Clustering, Disk management compatibility Database definition (SQL DDL) Load Tuning

6. 2009 | Confidential Netezza Data Warehouse – New Application Define requirements Confirm Logical Data Model Re-consider Access paths/Indices Physical data placement Cache strategies Latency requirements Aggregations Reporting vs. Analytics Examine cost, effort, and performance impact on existing applications Accept or reject, If accepted: Evaluate current environment – any upgrades required? Installation/Configuration Operating systems, DB, Clustering, Disk management compatibility Database definition (SQL DDL) Load Tuning

7. 2009 | Confidential Netezza Data Warehouse – Simplicity “Netezza’s performance and ease of use allow us to provide our business users with a comprehensive view of the business when they need it, while allowing us to realize substantial cost savings.” Executive Vice President of Sales, Marketing, Service &IT, BlueCross BlueShield of Massachusetts “The [Netezza] system was also two-thirds the cost of our previous customer data warehouse, including ongoing support and maintenance.” Director, Data Management and Data Warehousing Services, Ahold

8. 2009 | Confidential Netezza Data Warehouse – Performance

9. 2009 | Confidential The Netezza TwinFin™ Appliance Page 9 High-performance database engine streaming joins, aggregations, sorts, etc. SQL Compiler Query Plan Optimize Admin Processor & streaming DB logic Slice of User Data Swap and Mirror partitions High speed data streaming SMP Hosts Snippet Blades™ (S-Blades™) Disk Enclosures

10. 2009 | Confidential The Netezza AMPP™ Architecture Page 10 Advanced Analytics Loader ETL BI Applications FPGA Memory CPU FPGA Memory CPU FPGA Memory CPU Hosts Host Disk Enclosures S-Blades™ Network Fabric Netezza Appliance

11. 2009 | Confidential CPAG Architecture Page 11 NSF/DHS Netezza GWA EDW OTHER AGENCIES SUB-CONTRACTORS DATA SOURCES USERS

12. 2009 | Confidential Data Stream Processing Page 12 FPGA Core CPU Core UncompressProject Restrict Visibility Complex ∑ Joins, Aggs, etc.

13. 2009 | Confidential Netezza Data Warehouse – Performance “Gleaning valuable information from a two billion-row database…formerly took hours; with the Netezza system, the process takes just minutes.” Vice President of Information Technology, Premier, Inc. “Senior management teams used to make decisions based upon data that was eight weeks old…now they have the same report daily.” Manager of Data Control, Orange “The Netezza architecture is the simplest parallel computer we have ever used…Certainly, the achieved speedup is significant, and enables computations that were not previously possible.” Sandia National Laboratories

14. Thank you