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Putting Hadoop on any Cloud. NATI SHALOM at Big Data Spain 2012

Putting Hadoop on any Cloud. NATI SHALOM at Big Data Spain 2012

Session presented at Big Data Spain 2012 Conference
16th Nov 2012
ETSI Telecomunicacion UPM Madrid
www.bigdataspain.org
More info: http://www.bigdataspain.org/es-2012/conference/putting-hadoop-cloud/nati-shalom

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Big Data Spain

November 16, 2012
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Transcript

  1. None
  2. Columbus & The Cloud

  3. None
  4. None
  5. http://code.zynga.com/2012/02/the-evolution-of-zcloud/

  6. http://code.mixpanel.com/2010/11/08/amazon-vs-rackspace/

  7. None
  8. None
  9. None
  10. None
  11. Realization: What You Really Care about Is App Portability

  12. None
  13. None
  14. http://techblog.netflix.com/2012/07/benchmarking-high-performance-io-with.html

  15. None
  16. A Typical Big Data App…

  17. • Auto start VMs • Install and configure app components

    • Monitor • Repair • (Auto) Scale • Burst…
  18. Making the deployment, installation, scaling, fail- over looks the same

    through the entire stack
  19. Running Bare-Metal for high I/O workload, Public cloud for sporadic

    workloads..
  20. • Available under different distributions • Cloudera • IBM BigInsights

    • MapR • Hortonworks
  21. None
  22. Putting Cloudify and Hadoop Together • Run on Any Cloud

    • Consistent MGT • Dynamic Scaling • Auto Recovery • Auto Scaling • Role Assignments • Monitoring • Simple maintenance
  23. Few Snippets..

  24. Demo Time..

  25. http://www.cloudifysource.org http://github.com/CloudifySource https://github.com/CloudifySource/cloudify- recipes/tree/master/services/biginsights