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

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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

Published in: Technology
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Putting Hadoop on any Cloud. NATI SHALOM at Big Data Spain 2012

  1. 1. Columbus & The Cloud
  2. 2. http://code.zynga.com/2012/02/the-evolution-of-zcloud/
  3. 3. http://code.mixpanel.com/2010/11/08/amazon-vs-rackspace/
  4. 4. Realization: What You Really Care about Is App Portability
  5. 5. http://techblog.netflix.com/2012/07/benchmarking-high-performance-io-with.html
  6. 6. A Typical Big Data App…
  7. 7. • Auto start VMs• Install and configure app components• Monitor• Repair• (Auto) Scale• Burst…
  8. 8. Making thedeployment,installation, scaling, fail-over looks the samethrough the entire stack
  9. 9. Running Bare-Metal forhigh I/O workload, Publiccloud for sporadicworkloads ..
  10. 10. • Available under different distributions• Cloudera• IBM BigInsights• MapR• Hortonworks
  11. 11. • Run on Any Cloud Putting • Consistent MGT • Dynamic ScalingCloudify and • Auto Recovery Hadoop • Auto Scaling Together • Role Assignments • Monitoring • Simple maintenance
  12. 12. Few Snippets..
  13. 13. Demo Time..
  14. 14. http://www.cloudifysource.orghttp://github.com/CloudifySourcehttps://github.com/CloudifySource/cloudify-recipes/tree/master/services/biginsights

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