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Webinar: Big Data Integration - Why Same Old, Same Old Won't Cut It


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In this webinar, we talk about what role traditional extraction, transformation and load (ETL) tools will play when it comes to big data analytics as the organizing principles of managing big (and small) data are in the midst of being rewritten.

We also discuss new trends in the big data market, what’s changing and the impact of Spark, while reviewing some of the use cases we’re seeing for a more flexible integration platform as a service (iPaaS) that can handle multiple styles of ingesting, synchronizing and transforming big data sources.

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Webinar: Big Data Integration - Why Same Old, Same Old Won't Cut It

  1. 1. Big Data Integration: Why Same Old, Same Old Won't Cut It
  2. 2. Today’s Agenda • Discussion with Greg Benson - Big Data Integration: Why Now? • SnapLogic Introduction: SnapReduce and the Hadooplex • SnapLogic Elastic Integration Demonstration • Discussion Darren Cunningham VP of Marketing Craig Stewart Sr. Director Product Management Greg Benson Chief Scientist
  3. 3. About Greg Benson • SnapLogic Chief Scientist • Professor of Computer Science at the University of San Francisco • Worked on research in distributed systems, parallel programming, OS kernels, and programming languages for the last 20 years
  4. 4. Big Data Primer: What is Hadoop 2.0?
  5. 5. Big Data Integration: Why Now? What’s Different
  6. 6. What Do You Hear from Customers?
  7. 7. SnapLogic: Connecting Data, Apps and APIs Our unified platform significantly speeds up enterprise data access everywhere. - Gaurav Dhillon, SnapLogic Founder and CEO • Experienced Team: Leadership from Informatica, Salesforce, Microsoft • Headquarters: San Mateo, CA • Investors: Andreessen Horowitz & Ignition • Advisory Board: AstraZeneca, HP, Symantec, Yahoo • Customers: Adobe, Acxiom, Blackberry, Bloomin’ Brands, CapitalOne, Cisco, GE, iRobot, Netflix…
  8. 8. Elastic Integration Platform as a Service Integration Cloud! Designer, Manager, Dashboards (Multi-tenant cloud service) Elastic Execution! Snaplex Snaps! (Buy or Build) “Cloudplex” “Hadooplex” “Groundplex”
  9. 9. Hybrid Deployment • Streams: No data is stored/cached • Secure: 100% standards-based • Elastic: Scales out & handles data and app integration use cases Metadata Data
  10. 10. Elastic Scale Out • Each Snaplex can elastically expand and contract based on data traffic flowing through it • Built-in smarts to automatically scale the Snaplex out and in to handle variable traffic loads
  11. 11. SnapLogic for Big Data Integration ACQUIRE PREPARE DELIVER • Sort • Aggregate • Join • Merge • Transform Hadoop + SnapReduce
  12. 12. SnapReduce and the Hadooplex Acquire, Prepare, Deliver Big Data YARN YARN MapReduce MapReduce MapReduce MapReduce MapReduce MapReduce MapReduce MapReduce Snaplex YARN Application! MapReduce Generation! Snaplogic iPaaS + Hadoop = Snaplex Container
  13. 13. Hadooplex: Snaplex YARN Application = Snaplex Container • Snaplex has 3 types: o Cloudplex o Groundplex o Hadooplex • Kerberos Authentication • Certified by Cloudera and Hortonworks
  14. 14. SnapReduce: Pipelines Generate MapReduce SnapReduce Compiler MAP MAP MAP MAP REDUCE MAP REDUCE MAP Map Reduce • A checkbox option to SnapReduce-enable a pipeline • New support for SequenceFile, RCFile, document (JSON) processing for MapReduce jobs YARN
  15. 15. Big Data Integration Demonstration
  16. 16. What’s Next?
  17. 17. Discussion @SnapLogic