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Strata Presentation

Strata Presentation. Tim Garnto - SVP Engineering, edo Interactive Rob Rosen – Big Data Field Lead, Pentaho. Hello. About . Full-Spectrum Analytics Platform Open Source Heritage: Founded in 2004 Over 10,000 Production Customers Spanning 185 Countries

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Strata Presentation

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  1. Strata Presentation Tim Garnto - SVP Engineering, edo Interactive Rob Rosen – Big Data Field Lead, Pentaho

  2. Hello.

  3. About • Full-Spectrum Analytics Platform • Open Source Heritage: • Founded in 2004 • Over 10,000 Production Customers Spanning 185 Countries • Certified Interoperability with Widest Variety of Data Sources: • Hadoop • NoSQL • Traditional Structured Datasets

  4. Simplified analytics for all users Billing Customer Analytics Existing & New Data Infrastructure & Processes SocialMedia Location Network • ANY Data • Relational • Operational • Big Data • Data sources not yet anticipated… • ANY Analytics • Reports • Dashboards • Visualizations • Discovery • Predictive • ANY Environment • Data warehouses • Data marts • Stack vendors • Cloud • Embedded Web

  5. Edo Mission We’re transforming shopping and saving with the simplest solution to find merchants new customers with personalized offers available on consumer debit and credit cards

  6. Our story Making shopping & Saving simple Founded in 2007 & Venture-backed Defining the intersection of payments & advertising Co-headquartered in Nashville and Chicago 2014 Brill Street Top 50 Employer

  7. ecosystem Banks and Issuers Advertisers 3 of the top 6 financial institutions 200+ Enrolled Banks Total reach of 200 million cards 1000+ Retailers and Restaurants Leading National Brands Local Community Businesses

  8. Business intelligence

  9. issue • First generation BI platform was built on traditional data warehouse star schema • Business growth was constrained by platform scalability • Warehouse build was not always completing resulting in stale data • Data volumes quickly caused analytics and offer processing to extend beyond 24 hours to launch offers • Total data volumes increasing with new partners and increased adoption • Slow development cycle to generate new reports/insights/etc…

  10. Solution approach Implement ClouderaHadoop Migrate data processing, analytic processing and offer assignment to use tools Leverage Pentaho Big Data capabilities Accelerate adoption with external help - OpenBI

  11. Implementation process Step 1 - Transitioned from Traditional Warehouse to Hadoop using same processes and queries Step 2 – Optimize queries and processes for Hadoop in Pentaho Step 3 – Update processes to use Map/Reduce and Pig from within Pentaho

  12. Our Bi platform

  13. Our data pipeline

  14. Analytics and offers

  15. Configuration

  16. Results

  17. Data Growth

  18. Processing Results Analysis and Offer Process Daily Warehouse Loads

  19. Final thoughts • Pentaho Big Data Capabilities allowed edo to quickly move to Hadoop • Pentaho Map/Reduce and Pig Steps allow deeper integration through familiar workflow • Pentaho Analyzer with Impala is fast reporting against billions of rows

  20. edointeractive EdoInteractive Edo Interactive

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