The document discusses the fundamentals of cloud computing and its benefits for business intelligence (BI), such as flexibility, scalability, and reduced costs. It also highlights challenges like security concerns, data movement viability, and complex pricing. The conclusion emphasizes the cloud's potential to revolutionize BI delivery, although mature service architectures are still developing and best suited for testing environments.

1. TuesdayAugust 4, 2009Stephen DineDatasource Consulting, LLC

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

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5. 5Example Cloud ArchitectureDynamic Infrastructure SoftwareVirtual Server ContainersCommodity Hardware InfrastructureSource: Forrester Research: “Is Cloud Computing Ready for the Enterprise”: 3/7/08

6. 6Example BI Server Architecture(9pm)

7. 7Example BI Server Architecture(2am)

8. 8Example BI Server Architecture(4am)

9. 9Example BI Server Architecture(10am)

10. 10Demo of BI in the Cloud

11. 11Top Cloud Concerns

12. 12Quelling Security ConcernsPhysical & logical securityHidden data centers, cameras, biometric access, advanced alarm systemHypervisor paravirtualizationNetwork securityAll server ports closed by defaultTraffic monitoring, SSHExternal securityNetwork key encryption, multiple access keys, security groups

13. 13Benefits to BI in the Cloud 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

14. 14Amazon 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. 15Challenges to BI in the CloudThe ability to scale-up is limitedDifficult to quell security concernsViability of moving large amounts of dataPerformance of physical data accessReliability of service concernsPricing is variable and complex

16. 16Lessons Learned (thus far…) 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

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

18. 18Special Thanks to: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)

19. 19Contact InformationIf you have further questions or comments:Steve DinePresident, Datasource Consulting, LLCsdine@datasourceconsulting.com303-931-1046

20. 20Example: EC2 Charges