Criteria for D/W Platform Selection Simple Architecture –Easy to deploy the solution with minimal efforts Scalable (Scale Out - Scale Up) –Ability to handle increasing data sizes and workloads with simple additions to the architecture, without requiring a re-architecture Proven and Supported –No risks approach, go for only proven solution options Affordable & Manageable $$$ Savings –Significantly faster project delivery –Low total cost of ownership (TCO) over a multi-year period oHardware, software, services, required customer support oMinimal support tasks requiring DBA/System Administrator intervention oProvide a single point of control to simplify system administration. Flexible –Easy to add new subject areas, even totally new LOB due o acquisitions –Easy to make changes to meet the dynamic business needs –Comprehensive solution for the spectrum of eventual requirements for data and its access –Proven ability to support multiple applications from different business units, leveraging data that is integrated across business functions and subject areas.

Oracle Facts Current Solution –Four Vendors: H/W by Sun, S/W by Oracle, Storage by NetApp, Network by Cisco –We drive the coordination and optimization efforts across vendors –We incurs the risk of solution performance –Sub Optimal throughput Mb/sec vs. industry average of 2G/sec Does not scale linearly –On RAC queries cannot take advantage of all cluster nodes (H/W Resources) –Shared Disk (SMP) architecture suffers from contention as the platform is scaled out Requires highly tuned physical design effort –Manually coded Partition management and Query Tuning –Complex ETL processes and aggregation strategy –Higher Storage management (DBA, Storage Engineers) Successful Oracle Multi-Terabyte Implementations –Large number of small storage arrays –Oracle Automated Storage Management –Hash sub-partitioning –Army of rocket scientists DBAs

Business Impact Slower speed to market –Complex Architecture –More Data movement Higher TCO –Higher development cost –Higher Operational and KTLO cost Site Traffic cannot meet next day SLA –Takes 14+ Hrs just to load into staging after extensive tuning efforts –EDW and Data marts cannot be loaded in next day SLA Availability of All types Information is not guaranteed –in case of failure - Catch-up takes long time, No window to fix to meet SLA –X% reports on Oracle Platform timed out in Oct’08 –Inability to answer Unknown questions –Limited Ad-hoc functionality

Industry Trend for Multi Terabyte Data Warehouses Vendors Born MPP –Teradata, Netezza, Dataupia, ParAccel, Vertica, Greenplum, Aster –Data Allegro now Microsoft –IBM Db2 with BCU Oracle –Recently announced “Exa Data” a DW appliance to catch-up with trend –Not Proven yet Market Share for Multi Terabyte DW –Teradata and Netezza holds Major –Oracle Lost # of Customers Oracle to Teradata ~ 200 counts Oracle to Netezza ~ 20 counts Vertical – Online Advertising Segment Trends MPP Technology and Columnar Databases DW Appliances –Ease of installation –Faster startup –Guaranteed performance SLAs –Single source of service and support –Lower resources to manage the environment –Lower TCO and Faster ROI Courtesy: Donald Feinberg - Gartner Focus on Business Aspect –Let technological achievements and innovations take care of architecture and design complexities Courtesy: Dr. Claudia Imhoff – Well Known BI Veteran

Inappropriate Platform Selection - Consequences Long development cycles High numbers of support staff required cost expansion “Throwing hardware at problems” as a solution Users reverting to old means of data access with user interfaces that are not friendly A technology-focused culture rather than a user culture in IT Complex vendor relationships Hard to incorporate legacy systems and unstructured data Inability to keep pace with growing data volumes and user demands Inability to show profitability from data warehouse efforts, leading to slow program demise

Move Towards DW Appliances Packaged, balanced configurations based on the size of the database. Simplified and accelerated installation and setup Ease of maintenance and support through a single source. Simple, integrated management of the system as a single entity. Lower number of resources required to manage the system. Guaranteed performance Specific implementation costs, such as configuration design and balancing, are embedded in the data warehouse appliance price. Lower total cost of acquisition (TCA) and/or TCO. Courtesy: Donald Feinberg - Gartner - Data Warehouse Appliances Are More Than Just Plug-And-Play