1. Stephen Dine Datasource Consulting, LLC Tuesday August 4, 2009

2. 2 Cloud fundamentals Demo of BI in the EC2 Cloud Benefits to BI in the Cloud Cloud challenges New Technologies Summary Agenda

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5. 5 Example Cloud Architecture Source: Forrester Research: “Is Cloud Computing Ready for the Enterprise”: 3/7/08 Dynamic Infrastructure Software Virtual Server Containers Commodity Hardware Infrastructure

6. 6 Example BI Server Architecture (9pm)

7. 7 Example BI Server Architecture (2am)

8. 8 Example BI Server Architecture (4am)

9. 9 Example BI Server Architecture (10am)

10. 10 Demo of BI in the Cloud

11. 11 Top Cloud Concerns

12. 12 Physical & logical security –Hidden data centers, cameras, biometric access, advanced alarm system –Hypervisor paravirtualization Network security –All server ports closed by default –Traffic monitoring, SSH External security –Network key encryption, multiple access keys, security groups Quelling Security Concerns

13. 13 Flexibility to scale computing resources with few barriers Ability to shorten BI implementation windows Reduced cost for BI programs Ability to add environments for testing, proof-of-concepts and upgrades Geographic scalability Benefits to BI in the Cloud

14. 14 Amazon EC2 Instance Pricing * EC2 Compute Unit (ECU) – One EC2 Compute Unit (ECU) provides the equivalent CPU capacity of a 1.0-1.2 GHz 2007 Opteron or 2007 Xeon processor.

15. 15 The ability to scale-up is limited Difficult to quell security concerns Viability of moving large amounts of data Performance of physical data access Reliability of service concerns Pricing is variable and complex Challenges to BI in the Cloud

16. 16 Shared development can be a challenge Dynamically provisioning servers requires configuration scripts upon startup Keep your ear to the ground as technology and landscape changes rapidly Persistence is important architectural consideration Consistent image naming standards are critical Lessons Learned (thus far…)

17. 17 Deploying BI in the Cloud can help programs become more flexible, scalable and agile Cloud service architectures and vendors that provide them are still immature and is best suited for sandbox, development and test environments It can be challenging to configure databases and BI tools to run in the Cloud The Cloud holds a great deal of potential to change the way that we deliver BI to the masses Conclusions

18. 18 Ray Light, Director of Product Marketing, GoodData (www.gooddata.com) Dave Menninger, VP Marketing & Product Management, Vertica (www.vertica.com) Ken Rudin, CEO & Co-founder, LucidEra (www.lucidera.com) John Thompson, CEO, North America, Kognitio (www.kognitio.com) Special Thanks to:

19. 19 Contact Information If you have further questions or comments: Steve Dine President, Datasource Consulting, LLC sdine@datasourceconsulting.com 303-931-1046

20. 20 Example: EC2 Charges