business intelligence in the cloud
DESCRIPTION
-Cloud fundamentals -Demo of BI in the EC2 Cloud -Benefits to BI in the Cloud -Cloud challenges -New TechnologiesTRANSCRIPT
Stephen Dine
Datasource Consulting, LLCTuesday
August 4, 2009
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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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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
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Example BI Server Architecture(9pm)
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Example BI Server Architecture(2am)
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Example BI Server Architecture(4am)
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Example BI Server Architecture(10am)
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Demo of BI in the Cloud
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Top Cloud Concerns
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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
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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
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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.
Instance Type & RAM
CPU (Virtual Cores x ECUs) HD
Per CPU Hour
24/ 7CPU per
Month
Base Month Price
4/ 5CPU per
Month
Base Month Price
Small Win 32-Bit 1.7GB
1 x 1 160GB $0.125 720 Hours
$90.00 80 Hours
$10.00
Large Win 64-Bit 7.5GB
2 x 2 850GB $0.50 720 Hours
$360.00 80 Hours
$40.00
X-large Win64-Bit 15GB
4 x 2 1,690GB $1.00 720 Hours
$720.00 80 Hours
$80.00
High CPUMed Win
32-Bit 1.7GB
2 x 2.5 350GB $0.30 720 Hours
$216.00 80 Hours
$24.00
High CPU X-Large Win 64-Bit 7GB
8 x 2.5 1,690GB $1.20 720 Hours
$864.00 80 Hours
$96.00
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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
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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…)
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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
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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:
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Contact Information
• If you have further questions or comments:
Steve Dine
President, Datasource Consulting, LLC
303-931-1046
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Example: EC2 Charges