Content Comparison

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{card:label= 1) Pentaho MapReduce with Kettle}
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.
{youtube}KZe1UugxXcs{youtube}
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{card:label= 2) 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...
{youtube}cfFq1XB4kww{youtube}
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{card:label= 3) 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.
{youtube}ZnyuTICOrhk{youtube}
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{card:label=Loading Data into Hadoop}
A quick example of loading into the Hadoop Distributed File System (HDFS) using Pentaho Kettle.
{youtube}Ylekzmd6TAc{youtube}
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{card:label=Extracting Data from Hadoop}
A quick example of extracting data from the Hadoop Distributed File System (HDFS) using Pentaho Kettle.
{youtube}3Xew58LcMbg{youtube}
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h1. Hadoop Topics
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