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Many organizations are pursuing Big Data projects that solve old problems with new solutions and help them reduce costs. Cost reductions are typically driven by decreased development effort using developer-friendly technologies, cost-efficient software and commodity hardware. A Tier 1 bank is saving $40 million over 5 years by migrating its reference data management application off of legacy relational technology. A global company in the travel industry is reducing infrastructure costs by orders of magnitude using commodity, scale-out hardware in conjunction with leading open-source software. Considerations for Decision Makers: In this webinar, you will learn how different Software Licensing Models can impact the Big Data technology selection process.
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Thriving With Big DataPart 4
Save Money
2
• Thriving With Big Data
• 5 Parts, ~15 min each– Build Apps You Couldn’t Build Before (July 16th)
– Adapt in a Competitive Market (July 23rd)
– Make Customers Happy (July 30th)
– Save Money (August 6th)
– Considerations for Decision Makers (August 13th)
• Fun, lively discussion + QA Session
• Customer examples + considerations
About This Series
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• Considerations for Big Data and Customer Satisfaction– Developer Appeal: Who wants to use it?
– General Purpose vs. Niche: Leverage your investment
• Customer Stories– MetLife delivers 360-degree view of 100M+ customers
– The Guardian gets the right content to its readers in real time
Last Time (Part 3): Make Customers Happy
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• Considerations for Saving Money
• Customer Stories
• Takeaways
Part 4: Save Money
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Proprietary Cloud Open-Source
Consideration – Software Licensing Model
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Consideration – Hardware Architectures
Then: Scale Up Now: Scale Out
Pri
ce
Scale
Pri
ce
Scale
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• Saves $40M over 5 yrs
• Time-to-analysts from 36 hours to 10 minutes
• No regulatory penalties
• Fewer systems
• Up-to-date data
Example: Tier 1 Investment Bank
Reference Data Mgt.
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• Saves 50% on development costs
• Saves 67% on storage
• Gets to market 4x faster
Example: Telefonica
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• Reduces infrastructure costs by orders of magnitude
• Stored data in many places, formats with RDBMS
• Consolidated and migrated to commodity storage with MongoDB
Example: Global Travel Company
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• Software Licensing Model– Cost efficiency
– Flexibility and openness
• Hardware– Scalability
– Capacity planning
• Reducing Costs– Mitigate major sunk costs
– Look at the entire picture – software, hardware, dev/admin
Takeaways
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• Tuesday, August 13th 10:00AM PDT / 1:00PM EDT / 5:00PM UTC
• Review of Considerations for Decision Makers– Online vs. Offline Big Data
– Community
– Agility
– Developer Appeal
– General Purpose vs. Niche
– Software Licensing Models
– Hardware Architectures
Part 5: Considerations