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The first three videos compare using Pentaho Kettle to create and execute a simple MapReduce job with using Java to solve the same problem. The Kettle transform shown here runs as a Mapper and Reducer within the cluster.


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label2) Straight Java


What would the same task as "1) Pentaho MapReduce with Kettle" look like if you coded it in Java? At a half hour long, you may not want to watch the entire video...

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label3) Compare using Kettle to Java


This is a quick summary of the previous two videos, "1) Pentaho MapReduce with Kettle" and "2) Straight Java", and why Pentaho Kettle boosts productivity and maintainability.

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labelLoading Data into Hadoop


A quick example of loading into the Hadoop Distributed File System (HDFS) using Pentaho Kettle.

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labelExtracting Data from Hadoop


A quick example of extracting data from the Hadoop Distributed File System (HDFS) using Pentaho Kettle.

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