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Big Data Benchmarking electronic resource 5th International Workshop, WBDB 2014, Potsdam, Germany, August 5-6- 2014, Revised Selected Papers / edited by Tilmann Rabl, Kai Sachs, Meikel Poess, Chaitanya Baru, Hans-Arno Jacobson.

Contributor(s): Rabl, Tilmann [editor.] | Sachs, Kai [editor.] | Poess, Meikel [editor.] | Baru, Chaitanya [editor.] | Jacobson, Hans-Arno [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Lecture Notes in Computer SciencePublication details: Cham : Springer International Publishing : Imprint: Springer, 2015Description: X, 157 p. 54 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319202334Subject(s): Computer Science | Database management | Data mining | Information Storage and Retrieval | Computer Science | Database Management | Data Mining and Knowledge Discovery | Information Storage and Retrieval | Information Systems Applications (incl. Internet)DDC classification: 005.74 LOC classification: QA76.9.D3Online resources: Click here to access online
Contents:
Benchmark Specifications and Proposals -- Hadoop and MapReduce -- In-Memory, Data Generation and Graphs.
In: Springer eBooksSummary: This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Big Data Benchmarking, WBDB 2014, held in Potsdam, Germany, in August 2014. The 13 papers presented in this book were carefully reviewed and selected from numerous submissions and cover topics such as benchmarks specifications and proposals, Hadoop and MapReduce - in the different context such as virtualization and cloud - as well as in-memory, data generation, and graphs.
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Benchmark Specifications and Proposals -- Hadoop and MapReduce -- In-Memory, Data Generation and Graphs.

This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Big Data Benchmarking, WBDB 2014, held in Potsdam, Germany, in August 2014. The 13 papers presented in this book were carefully reviewed and selected from numerous submissions and cover topics such as benchmarks specifications and proposals, Hadoop and MapReduce - in the different context such as virtualization and cloud - as well as in-memory, data generation, and graphs.

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