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Stephen Dine Datasource Consulting, LLC. Tuesday August 4, 2009. Agenda. Cloud fundamentals Demo of BI in the EC2 Cloud Benefits to BI in the Cloud Cloud challenges New Technologies Summary. Example Cloud Architecture. Dynamic Infrastructure Software. Virtual Server Containers.

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stephen dine datasource consulting llc
Stephen Dine

Datasource Consulting, LLC

Tuesday

August 4, 2009

slide2

Agenda

  • Cloud fundamentals
  • Demo of BI in the EC2 Cloud
  • Benefits to BI in the Cloud
  • Cloud challenges
  • New Technologies
  • Summary
example cloud architecture
Example Cloud Architecture

Dynamic Infrastructure Software

Virtual Server Containers

Commodity Hardware Infrastructure

  • Source: Forrester Research: “Is Cloud Computing
  • Ready for the Enterprise”: 3/7/08
slide12

Quelling Security Concerns

  • 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
slide13

Benefits 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
amazon ec2 instance pricing
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.

slide15

Challenges to BI in the Cloud

  • 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
slide16

Lessons 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
slide17

Conclusions

  • 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
slide18

Special 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)
contact information
Contact Information
  • If you have further questions or comments:

Steve Dine

President, Datasource Consulting, LLC

sdine@datasourceconsulting.com

303-931-1046