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Thriving With Big Data Part 4 Save Money

Thrive With Big Data Webinar Series - Part 4: Save Money

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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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Page 1: Thrive With Big Data Webinar Series - Part 4: Save Money

Thriving With Big DataPart 4

Save Money

Page 2: Thrive With Big Data Webinar Series - Part 4: Save Money

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• 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

Page 12: Thrive With Big Data Webinar Series - Part 4: Save Money