Hadoop Hands-on: Difference between revisions

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Tuesday, 28.8.2012, 13:00 - 18:30
Tuesday, 28.8.2012, 13:00 - 18:30


=Prerequisites=
=Requirements=

== Computer ==

* Basic understanding of Unix/Linux OS management is needed to do the exercises.

* No prior knowledge of Hadoop is required, as we go through the basic concepts.
* For this workshop a personal notebook is recommendet.
* For this workshop a personal notebook is recommendet.
* If you use Windows: please install "PuTTY" and the VMWare-Player
* If you use Windows: please install "PuTTY" and the VMWare-Player.


=Material=
* Hadoop the Defenitive Guide [www.amazon.de]


* Hadoop in Action



=Recommendet Material=

==Books==
* Hadoop the Defenitive Guide [Amazon|http://www.amazon.de/Hadoop-Definitive-Guide-Tom-White/dp/1449311520/ref=sr_1_fkmr1_1?ie=UTF8&qid=1345918087&sr=8-1-fkmr1]
* Hadoop in Action
* Data Intensive Text Processing with MapReduce
* Data Intensive Text Processing with MapReduce



Revision as of 20:09, 25 August 2012

Tuesday, 28.8.2012, 13:00 - 18:30

Prerequisites

  • Basic understanding of Unix/Linux OS management is needed to do the exercises.
  • No prior knowledge of Hadoop is required, as we go through the basic concepts.
  • For this workshop a personal notebook is recommendet.
  • If you use Windows: please install "PuTTY" and the VMWare-Player.



Recommendet Material

Books

Content

Session A

  • The hadoop ecosystem: HDFS, MR, HUE, Sqoop, Hive, Pig, HBase, Flume, Oozie
  • What is CDH and the Cloudera-Manager?
  • Installation, starting and basic configurations of a small cluster

Session B

  • HDFS intro (Name Node, Data Node, Secondary Name Node)
  • How is data stored in HDFS?
  • Properties and configurations, relevant for efficient working with HDFS.
  • HDFS commands

Session C

  • Working with the webbased-GUI
  • Running and tracking jobs
  • Java-API and samples
  • Streaming API sample

Session D

  • Map Reduce details, Java-API and Streaming (awk sample)
  • HDFS details, using the webbased-GUI for deeper insights
  • Breaking down a cluster and heal it

Session E

  • Intro to Hive and Sqoop
  • Dataimport via Sqoop
  • Hive scripts

Session F (optional)

  • Serialisation and deserialisation (SerDe) and user defined functions (UDF) with Hive
  • Workflows with oozie