Adobe s Story of Integrating Hadoop and SAP HANA with SAP Data Services
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1 Orange County Convention Center Orlando, Florida June 3-5, 2014 Adobe s Story of Integrating Hadoop and SAP HANA with SAP Data Services Kevin Davis, Senior Data Warehouse Engineer, Adobe Hemant Puranik, Senior Product Manager, SAP
2 LEARNING POINTS Learn why Adobe chose SAP Data Services to integrate Hadoop and SAP HANA Find out what worked well and where Adobe encountered challenges Learn how Adobe set up its SAP Data Services, Hadoop and HANA environments
3 Adobe s Business
4 Adobe s Creative Cloud Transition
5 Problem Statement Usage Analytics solution for Adobe Creative Cloud Free member signups, subscription purchases, cancelations Product downloads, installations, updates, launches >3,000,000 events per day captured by Hadoop-based Event Tracking System What factors affect a user s likelihood to renew or cancel his subscription? Frequency of activity? Recency of activity?
6 Decision Analysis, Part 1 SAP HANA is Adobe s Analytic Platform Source for corporate metrics Final reporting must be done from HANA
7 Decision Analysis, Part 2 SAP HANA = high performance but high cost Only subsets of Hadoop data in HANA ETS captures millions of user events unrelated to product usage; only store relevant events in HANA Where possible, aggregate prior to HANA load Store totals vs. individual events USER ID PRODUCT EVENT TIMESTAMP ABCD1234 Photoshop Download :23:45 ABCD1234 Photoshop Launch :03:04 ABCD1234 Photoshop Launch :30:03 ABCD1234 Photoshop Launch :14:24 ABCD1234 Photoshop Launch :10:15 USER ID PRODUCT EVENT DATE COUNT ABCD1234 Photoshop Download ABCD1234 Photoshop Launch
8 Decision Analysis, Part 3 Enterprise vs. Open Source ETL Capability Matrix SAP Data Services vs. Apache Sqoop SAP Data Services Apache Sqoop Data Transfer Performance Vendor Support Product Maturity Data Lineage Traceability Developer Experience HDFS, HIVE, HBASE
9 Adobe s Information Mgmt Landscape ETL Tools Data Storage/Analytics Source Systems ECC CRM SAP Landscape Transformation (SLT) Data Services 4.1 SP 1, Patch 4 HANA Revision 58 Cloudera CDH HDFS Others HIVE
10 SAP Data Services Job Server Setup Data Services Job Server Configuration Job Server must be on Linux OS Options A. Configure Job Server on node in Hadoop cluster B. Add Hadoop binaries to Data Services Job Server Oversight by SAP administration/security Services+and+Hadoop
11 Datastore Creation/Configuration Hive Adapter Configuration Management Console > Adapter Instances Required to import metadata during development HIVE Datastore Points to Hadoop Gateway node Adapter instance name Choose from configured adapters
12 Advantages, Part I Knowledge of existing team members Teams experienced with Data Services Development, QA, Production Support ETL jobs built using existing design patterns Data Load Performance SAP Data Services ~2x faster transferring data from Hive to HANA Data Load Test : Transfer 12.5 million records from Hadoop to HANA via Hive table Data Services: 8 minutes; Sqoop: 20 minutes
13 Advantages, Part II Data Lineage / Metadata Management Information Steward, Metadata Manager End-to-end Traceability of data elements A future consideration for Adobe
14 Challenges Version compatibility Hadoop community moves very quickly Seven (7) Cloudera releases between April 2013 and April 2014 SAP releases Data Services Service Packs two (2) times annually Difficult to quickly leverage new Hadoop capabilities using Data Services Finding expertise Fairly new problem domain Difficult to find experts and/or up-to-date documentation
15 FUTURE PLANS Upgrades Summer, 2014 SAP Data Services 4.2 SP2 SAP HANA SP08 Hadoop CDH 5 Additional Use Cases Marketing campaign effectiveness
16 BEST PRACTICES & KEY LEARNINGS Make sure you have a big data problem Hadoop may be an unnecessary complexity Decide on Data Services configuration early Put Data Services job server in Hadoop cluster? Confirm version certification using the SAP Product Availability Matrix
17 FOLLOW US
18 THANK YOU THANK YOU FOR PARTICIPATING Please provide feedback on this session by completing a short survey via the event mobile application. SESSION CODE: 0404 For ongoing education on this area of focus, visit
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