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Apache Hadoop MapReduce
Speaker Details
Speaker / Panel Lead
Speaker User Name: 
Harsh Chouraria
Speaker Bio: 
Harsh Chouraria is a Customer Operations Engineer at Cloudera. Prior to Cloudera, Harsh worked at Ericsson on scaling up their telecom-data analytics product called AnalyticSuite. Harsh holds a Bachelor's degree in Information Technology from Anna University at Chennai, India. When possible, he likes contributing fixes to many open source projects and hanging out on mailing lists.
Proposal Details
Session Type: 
Workshop - Half Day (4 Hrs)
Abstract: 
This workshop shall aim to cover what the MapReduce programming paradigm is all about, and how can one go about using Apache Hadoop to perform MapReduce querying over large sets of data. The workshop will include a short talk on MapReduce functional fundamentals and slightly more details of various stages, and then onto writing a simple MapReduce program, and finally to writing complex, real-world programs by leveraging the whole API. Also a brief demonstration of Pig at the end, if I can nick it in.
Target Audience: 
Developers (Intermediate)
Developers (Expert)
Tracks: 
  • Databases