Sanjay Radia, Yahoo Inc.


Hadoop: Scalable Storage and Computing

The Hadoop system provides a distributed file system and a framework
for processing very large amounts of data using the MapReduce
paradigm. The system scales horizontally for compute cycles, IO
bandwidth and storage capacity. Hadoop is in daily use for large
clusters of several thousand machines at Yahoo and smaller clusters at
many other organizations. Hadoop is available via an Apache open
source license.  This talk give a brief overview of the Hadoop system
and focuses on a couple of areas of new development that are ongoing
at Yahoo.


Speaker Bio

Sanjay leads the Hadoop Distributed File System project at Yahoo where
it is in daily use for large clusters of several thousand
machines. Previously he has held senior positions at Cassatt, Sun
Microsystems and INRIA where he has developed systems software for
distributed systems and grid/utility computing infrastructures. He has
published numerous papers and holds several patents. Sanjay has PhD in
Computer Science from University of Waterloo. Canada.