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TechTalk: How SnapReduce 2.0 Makes Big Data Elastic
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Hadoop for Humans: Introducing SnapReduce 2.0

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In this webinar, we talk about Hadoop, big data and SnapReduce 2.0 with SnapLogic Chief Scientist Greg Benson, Professor of Computer Science at the University of San Francisco. This webinar features a dive into SnapReduce, and a discussion about how SnapLogic delivers big data acquisition, better big data preparation and universal big data delivery.

To learn more, visit: http://www.snaplogic.com/snapreduce

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Hadoop for Humans: Introducing SnapReduce 2.0

  1. 1. Hadoop for Humans: Introducing SnapReduce 2.0
  2. 2. 2 Today’s Agenda Darren Cunningham VP Marketing Craig Stewart Sr. Director, Product Management Greg Benson Chief Scientist  The Big Data Promise and Reality  Introducing SnapReduce 2.0  Demonstration  Discussion and Next Steps
  3. 3. 3 About Greg Benson  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. 4 Big Data Hype: Go Big or Go Home…
  5. 5. 5 Hadoop and the Data Warehouse “Where you stand depends on where you sit…”
  6. 6. 6 Big Data Integration
  7. 7. 7 SnapLogic Elastic Integration A single platform to connect data, apps and APIs Data Applications APIs We’re 100% focused on delivering faster application, process and data integration in a single cloud platform. - Gaurav Dhillon, SnapLogic Founder and CEO ““
  8. 8. 8 Key Components of the SnapLogic Platform “Control Plane” Designer, Manager, Dashboards (Multi-tenant cloud service) 1 “Cloudplex” “Groundplex” “Hadooplex” “Data Plane” Snaplex (Elastic execution) 2 New! Snaps (Buy or Build) 3
  9. 9. 9 SnapReduce 2.0 Snaplex YARN Application MapReduce Generation MapReduce Snaplogic iPaaS + Hadoop YARN YARN MapReduce MapReduce MapReduce MapReduce MapReduce MapReduce MapReduce = Snaplex Container
  10. 10. 10 Snaplex YARN Application = Snaplex Container
  11. 11. 11 Snaplex Generating MapReduce MA P YARN MA P MA P MA P REDUCEMAP MAPREDUCE SnapReduce Compiler Map Reduce
  12. 12. 12 Bringing it Together: Hadoop, Workday, API
  13. 13. 13 SnapReduce 2.0 Demonstration
  14. 14. 14 SnapReduce 2.0: “Hadoop for Humans” SnapReduce Map Reduce Vs.
  15. 15. 15 SnapReduce 2.0: Elastic Scale Out “SnapReduce 2.0 enables customers to leverage Cloudera Enterprise’s massively parallel processing capabilities for their big data integration initiatives.” Tim Stevens VP Corporate and Business Development, Cloudera
  16. 16. 16 Why SnapLogic SnapReduce 2.0  Acquire: – Improved Information Access with +160 Snaps – Scale Out Architecture – Respect for Data Gravity  Prepare: – Double Your Data Scientists – “Hadoop for Humans”  Deliver: – Statisticians, BI Analysts, Visualizations
  17. 17. 17 SnapReduce 2.0 Availability  Early Access Program has started – http://www.snaplogic.com/snapreduce – Certified on Cloudera, HortonWorks  Working with some large customers on their use cases  GA targeted for end of September
  18. 18. 18 Discussion www.SnapLogic.com/BigData Darren Cunningham Craig Stewart Greg Benson
  • taedok

    Feb. 24, 2015
  • dnanneman

    Aug. 20, 2014
  • dcunni07

    Aug. 13, 2014

In this webinar, we talk about Hadoop, big data and SnapReduce 2.0 with SnapLogic Chief Scientist Greg Benson, Professor of Computer Science at the University of San Francisco. This webinar features a dive into SnapReduce, and a discussion about how SnapLogic delivers big data acquisition, better big data preparation and universal big data delivery. To learn more, visit: http://www.snaplogic.com/snapreduce

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