Through this course you are going to learn the use of the MapReduce concepts and its usage in developing complex MapReduce applications.
5h 01m | 30 Videos | 19710 Views | Beginner
Comprehensive Mapreduce Training:
Through this course we are going to learn about the Choosing appropriate Hadoop data types, Implementing a custom Hadoop Writable data type, Implementing a custom Hadoop key type, Emitting data of different value types from a mapper, Choosing a suitable Hadoop Input Format for your input data format, Adding support for new input data formats – implementing a custom Input Format, Formatting the results of MapReduce computations – using Hadoop Output Formats. Next we focus on the data partitioning, , Broadcasting and distributing shared resources to tasks in a MapReduce job – Hadoop Distributed Cache, Using Hadoop with legacy applications – Hadoop Streaming, Adding dependencies between MapReduce jobs and using Hadoop counters for reporting custom metrics.
Understand the concepts of MapReduce and find out how it solves the problems
Learn to develop complex Hadoop MapReduce applications