1. Apache Hadoop on the Open Cloud David Dobbins Nirmal Ranganathan

2. 2 Who is using Apache Hadoop Traditionally = Developers Increasingly = Business Users / Data Scientists Why does this matter?

3. 3 Configuring and managing a Hadoop cluster is hard

4. 4 Resources / Expertise

5. 5 Multiple Performance and Design Variables

6. 6 The Cloud solves some of these

7. 7 Advantages of using the cloud Fast Easy Flexible

8. 8 You still require expertise

9. 9 Lets check out another option

10. 10 Hadoop in the Cloud Use Cases

11. 11 Development / POC Clusters

12. 12 Dynamic Clusters

13. 13 Growth Clusters

14. 14 Your data is already in the Cloud

15. 15 Demo Run an actual job

16. Swift Filesystem for Hadoop: HADOOP-8545 New filesystem URL, swift:// Read from, write to local & remote Swift clusters Keep long-lived data in Swift; upload while Hadoop cluster off-line 16 The challenges of running Map Reduce jobs against Swift.. Identity management Block size Object store vs file paths Direct API into swift from HDFS

17. Map Reduce to Swift (via “HDFS”) 17 HDFS MapReduce Application X HDFS Proxy MapReduce Application X SWIFT

18. 18 Hadoop + Openstack

19. 19 Cloud Big Data Platform Hortonworks Data Platform HDP 1.1 HDP 1.3 Pig, Hive, HCatalog Coming soon HDP 2.0

20. 20 Cloud Big Data Platform Secure by default Comes pre-optimized Web UI, CLI, REST API

21. 21 Built on Openstack

22. 22 Why an Open Platform matters Sandbox on Rackspace Cloud Sandbox VM RAX Resell

23. 23 Cool stuff

24. @caffiend @rnirmal 24 http://www.rackspace.com/big-data