Business Intelligence In The Cloud


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-Cloud fundamentals
-Demo of BI in the EC2 Cloud
-Benefits to BI in the Cloud
-Cloud challenges
-New Technologies

Published in: Technology, Business
  • For those organizations that do not want their data to reside on the cloud for security or privacy reasons yet still would like a hosted solution for document and report delivery, look at ( Currently in beta, it will offer a solution significantly less expensive than other cloud based alternatives and combines the best of both worlds: a hosted solution with on-premise data.
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  • Hey Michael! I agree there are numerous challenges around BI. Cloud vs. on-prem is really about form-factors, especially at the back-end. When I think of challenges in BI, for example getting users to want to use the data and tools, I don’t usually go first to the back-end form-factor. That said, there are advantages and disadvantages to moving infrastructure into the cloud. Just don’t bet that doing so will solve all the BI challenges. Same as you said.

    I think a related and very interesting conversation is about scale-out and non-relational back-ends. Cloud does not mean scale-out, nor does scale-out mean cloud, although they often go together.
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  • Interesting presentation but..How does cloud computing solve some of the fundamental issues with Business Intelligence today? Users tools and access to data are some of the largest problems - I don't think the cloud solves fact, makes it more complex.
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  • I saw the original presentation and it was well done. Thanks for posting the slides. Please note, Amazon EC2 prices have changed quite a bit. The cloud vs. co-lo vs. on-prem math is changing quite a bit.
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  • nice presentation
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Business Intelligence In The Cloud

  1. Tuesday<br />August 4, 2009<br />Stephen Dine<br />Datasource Consulting, LLC<br />
  2. 2<br />Agenda<br /> Cloud fundamentals<br /> Demo of BI in the EC2 Cloud<br /> Benefits to BI in the Cloud<br /> Cloud challenges<br /> New Technologies<br /> Summary<br />
  3. 3<br />
  4. 4<br />
  5. 5<br />Example Cloud Architecture<br />Dynamic Infrastructure Software<br />Virtual Server Containers<br />Commodity Hardware Infrastructure<br /><ul><li>Source: Forrester Research: “Is Cloud Computing </li></ul>Ready for the Enterprise”: 3/7/08<br />
  6. 6<br />Example BI Server Architecture<br />(9pm)<br />
  7. 7<br />Example BI Server Architecture<br />(2am)<br />
  8. 8<br />Example BI Server Architecture<br />(4am)<br />
  9. 9<br />Example BI Server Architecture<br />(10am)<br />
  10. 10<br />Demo of BI in the Cloud<br />
  11. 11<br />Top Cloud Concerns<br />
  12. 12<br />Quelling Security Concerns<br />Physical & logical security<br />Hidden data centers, cameras, biometric access, advanced alarm system<br />Hypervisor paravirtualization<br />Network security<br />All server ports closed by default<br />Traffic monitoring, SSH<br />External security<br />Network key encryption, multiple access keys, security groups<br />
  13. 13<br />Benefits to BI in the Cloud<br /> Flexibility to scale computing resources with few barriers<br /> Ability to shorten BI implementation windows<br /> Reduced cost for BI programs<br /> Ability to add environments for testing, proof-of-concepts and upgrades <br /> Geographic scalability<br />
  14. 14<br />Amazon EC2 Instance Pricing<br />* 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.<br />
  15. 15<br />Challenges to BI in the Cloud<br />The ability to scale-up is limited<br />Difficult to quell security concerns<br />Viability of moving large amounts of data<br />Performance of physical data access<br />Reliability of service concerns<br />Pricing is variable and complex<br />
  16. 16<br />Lessons Learned (thus far…)<br /> Shared development can be a challenge<br /> Dynamically provisioning servers requires configuration scripts upon startup<br /> Keep your ear to the ground as technology and landscape changes rapidly<br /> Persistence is important architectural consideration<br /> Consistent image naming standards are critical<br />
  17. 17<br />Conclusions<br />Deploying BI in the Cloud can help programs become more flexible, scalable and agile<br />Cloud service architectures and vendors that provide them are still immature and is best suited for sandbox, development and test environments<br />It can be challenging to configure databases and BI tools to run in the Cloud<br />The Cloud holds a great deal of potential to change the way that we deliver BI to the masses<br />
  18. 18<br />Special Thanks to:<br />Ray Light, Director of Product Marketing, GoodData (<br />Dave Menninger, VP Marketing & Product Management, Vertica (<br />Ken Rudin, CEO & Co-founder, LucidEra (<br />John Thompson, CEO, North America, Kognitio (<br />
  19. 19<br />Contact Information<br />If you have further questions or comments:<br />Steve Dine<br />President, Datasource Consulting, LLC<br /><br />303-931-1046<br />
  20. 20<br />Example: EC2 Charges<br />