This work deals with the description and analysis of the Big Data concept and its processing and use in the process of decision support. Suggested processing is based on the MapReduce concept designed for Big Data processing. The theoretical part of this work is largely about the Hadoop system that implements this concept. Its understanding is a key feature for properly designing applications that run within it. The work also contains design for specific Big Data processing applications. In the implementation part of the thesis is a description of Hadoop system management, description of implementation of MapReduce applications and description of their testing over data sets.
Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:385977 |
Date | January 2018 |
Creators | Blaho, Matúš |
Contributors | Bartík, Vladimír, Hruška, Tomáš |
Publisher | Vysoké učení technické v Brně. Fakulta informačních technologií |
Source Sets | Czech ETDs |
Language | Czech |
Detected Language | English |
Type | info:eu-repo/semantics/masterThesis |
Rights | info:eu-repo/semantics/restrictedAccess |
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