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Hadoop: HDFS, MapReduce and cmputing in IBM BigInsights
 Fessl, Adam ; Řezáč, Miroslav (advisor) ; Novotný, Ota (referee)
This undergraduate thesis thematically appertains to the field of Big Data. Particularly, it concerns Hadoop, an open-source tool, serving for distributed processing and saving data. The object of this thesis is to provide the reader with theoretical knowledge and basic prin-ciples concerning the Apache Hadoop with concentration on the file system HDFS and model for distributed MapReduce computing. Theoretical knowledge and principles are illustrated on modified application WordCount in IBM InfoSphereBigInsights. This work consists of three parts. First part is dealing with Hadoop and its basic modules. Second one provides information concerning the prominent Hadoop distributors; special attention is given to IBM. The last part presents practical computing. This thesis offers a comprehensive view on Hadoop, which combines technical point of view with practical application. Both of them are illustrated on particular examples and supplemented with methods to operate Hadoop.
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