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Discussion of Hadoop Usecases vs. Runtime Environments by Tom Phelan of BlueData

Abstract:      

This presentation will investigate the advantages and disadvantage of running an n-node Hadoop cluster in each of the following environments:         

• Bare metal         

• Private cloud using a traditional virtual machine environment   

• Private cloud using a containerized virtual environment     

Tom will follow this with a discussion of real Hadoop Use Cases and how each  would, or would not, be suitable for running in each environment.


Bio:

Tom Phelan earned his computer science degree from UC Berkeley and then began a long career focused on storage and systems virtualization. After working on UNIX internals at Altos Computer Systems he went on to develop highly fault tolerant storage subsystems at Stratus. He was a member of the team that developed the XFS file system at Silicon Graphics and later worked on optimizing storage performance for the delivery of streaming data. He joined VMWare 10 years ago and as Sr. Staff engineer was a key member of the ESX storage architecture team. He designed and developed the ESX storage I/O load balancing subsystem and the modular "pluggable storage architecture". Later he went on to lead teams working on many key storage initiatives such as the cloud storage gateway and vFlash. He resigned from VMWare in 2012 to join Kumar Sreekanti as co-founder and Chief Architect of BlueData.

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