SM STRATA PRESENTATIONTim Garnto - SVP Engineering, edo Interactive

Rob Rosen – Big Data Field Lead, Pentaho

HELLO.

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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

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SIMPLIFIED ANALYTICS FOR ALL USERS

ANY Analytics• Reports• Dashboards• Visualizations• Discovery• Predictive

Analytics

ANY Environment• Data warehouses• Data marts• Stack vendors• Cloud• Embedded

Existing & New Data

Infrastructure & Processes

ANY Data• Relational• Operational• Big Data• Data sources not yet

anticipated…

Billing

Location

Social Media

Customer

Web

Network

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EDO MISSIONWe’re transforming shopping and saving with the simplest solution to find merchants new customers with personalized offers available on consumer debit and credit cards

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OUR STORY

• Founded in 2007 & Venture-backed

• Defining the intersection of payments & advertising

• Co-headquartered in Nashville and Chicago

• 2014 Brill Street Top 50 Employer

MAKING SHOPPING & SAVING SIMPLE

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ECOSYSTEM

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

Banks and Issuers Advertisers

BUSINESS INTELLIGENCE

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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…

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SOLUTION APPROACH• Implement Cloudera Hadoop

• Migrate data processing, analytic processing and offer assignment to use tools

• Leverage Pentaho Big Data capabilities

• Accelerate adoption with external help - OpenBI

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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

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OUR BI PLATFORM

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OUR DATA PIPELINE

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ANALYTICS AND OFFERS

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CONFIGURATIONTotal Size

Nodes 20

Cores 480

Memory 1.9 TB

Storage 255 TB

Node ProfileCores 24

Memory 96 GB

Storage 12 TB24 TB

VersionsCloudera Manager 4.8.0

CDH 4.5.0

Impala 1.2.3

Hadoop-LZO 0.3.15

Pentaho 5.0.3

RESULTS

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DATA GROWTH

Jan 2013 July 2013 Jan 20140%

200%

400%

600%

800%

1000%

100%146%

256%

100%

697%

974%

100%

178%

361%

CustomerDataOffers

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PROCESSING RESULTSDaily Warehouse Loads Analysis and Offer Process

Jan 2013 July 2013 Jan 20140.0

5.0

10.0

15.0

20.0

25.0

30.0 29.5

4.3 3.8

Hours Total Records

Jan 2013 July 2013 Jan 20140.0

5.0

10.0

15.0

20.0

25.0

30.0

35.0

29.5

4.5 5.0

Hours Weekly Offers

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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

Jan 2013 July 2013 Jan 2014

THANK YOU

edointeractiveEdoInteractiveEdo Interactive