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Hadoop in Action by Chuck Lam

Hadoop in Action Chuck Lam ebook
Format: pdf
ISBN: 1935182196, 9781935182191
Publisher: Manning Publications
Page: 336

HiveMain.runHive(HiveMain.java:292) at org.apache.oozie.action.hadoop.HiveMain.run(HiveMain.java:269) at org.apache.oozie.action.hadoop.LauncherMain.run(LauncherMain.java:37) at org.apache.oozie.action.hadoop. Apache Oozie, the workflow coordinator for Apache Hadoop, has actions for running MapReduce, Apache Hive, Apache Pig, Apache Sqoop, and Distcp jobs; it also has a Shell action and a Java action. Of reviews others have written for this and other books in this space, along with my personal experience with other Manning publications such as "Spring in Action", "Java Persistence with Hibernate", and "Hadoop in Action". Hadoop in Action teaches readers how to use Hadoop and write MapReduce programs. This posting gives a simple integration example of how Elastic Mapreduce/Hadoop can be used to preprocess data into structured data that can be easily imported into and analyzed with AWS Redshift. Book Description Hadoop in Action teaches readers how to use Hadoop and write MapReduce programs. "link": "http://www.amadeus.net/plnext/meb/HomePageDispatcher.action? "id": "http://delicious.com/url/0001c173b0f84ea81d188336223f9d7d#linooliveira",. €�Hadoop in Action” (LAM10) has been published in December 2010 and is therefore more up-to-date than the others. Even if you have never defined any counters in hadoop, you can see some of them each time you are running an hadoop job. The intended readers are programmers, architects, and project managers who have to process large amounts of data offline. HIGHLIGHT Hadoop in Action is an example-rich tutorial that shows developers how to implement data-intensive distributed computing using Hadoop and the Map- Reduce framework. In the general case – and not the simplistic json data used in this example – Mapreduce algorithms could ..