Knowledge Discovery Using Big Data Analytics: With Practical Approach on Hadoop

Agarwal, Ruchi/ Vats, Satvik/ Singh, Sunny

ISBN 10: 3659906247 ISBN 13: 9783659906244

Verlag: LAP LAMBERT Academic Publishing, 2016

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84 pages. 8.66x5.91x0.19 inches. In Stock. Bestandsnummer des Verk�ufers 3659906247

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In the present scenario, Hadoop is just like the kernel for big data, having distributed storage and compute capabilities to handle structured/semi-structured/unstructured data. Hadoop framework is also utilized for data warehousing and in the field of data science, which makes new informative discoveries about data. In this book two advanced algorithm named as K-Means Clustering and Frequent Item sets mining are applied on Hadoop MapReduce environment, which presents them in a problem/solution format. Predictive analysis of the output is done with the help of Tableau. Each problem is explored step by step, which automatically helps the reader in growing more comfortable with Hadoop in the world of big data. This hand book helps the reader to demonstrate how the real world data is handled using hadoop framework. It also helps readers in understanding the basic concepts of MapReduce and Hadoop Distributed File System (HDFS).

Rese�a del editor: In the present scenario, Hadoop is just like the kernel for big data, having distributed storage and compute capabilities to handle structured/semi-structured/unstructured data. Hadoop framework is also utilized for data warehousing and in the field of data science, which makes new informative discoveries about data. In this book two advanced algorithm named as K-Means Clustering and Frequent Item sets mining are applied on Hadoop MapReduce environment, which presents them in a problem/solution format. Predictive analysis of the output is done with the help of Tableau. Each problem is explored step by step, which automatically helps the reader in growing more comfortable with Hadoop in the world of big data. This hand book helps the reader to demonstrate how the real world data is handled using hadoop framework. It also helps readers in understanding the basic concepts of MapReduce and Hadoop Distributed File System (HDFS).

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Titel: Knowledge Discovery Using Big Data Analytics...
Verlag: LAP LAMBERT Academic Publishing
Erscheinungsdatum: 2016
Einband: Paperback
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Knowledge Discovery Using Big Data Analytics

Ruchi Agarwal|Satvik Vats|Sunny Singh

Verlag: LAP LAMBERT Academic Publishing, 2016

ISBN 10: 3659906247 ISBN 13: 9783659906244

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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Agarwal RuchiThe Authors of this book have been actively involved in the research field of Big Data Analytics. They have published various books and papers in international refereed journals and prestigious conferences. Presently, th. Bestandsnummer des Verk�ufers 159147409

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Knowledge Discovery Using Big Data Analytics : With Practical Approach on Hadoop

Ruchi Agarwal

Verlag: LAP LAMBERT Academic Publishing, 2016

ISBN 10: 3659906247 ISBN 13: 9783659906244

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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the present scenario, Hadoop is just like the kernel for big data, having distributed storage and compute capabilities to handle structured/semi-structured/unstructured data. Hadoop framework is also utilized for data warehousing and in the field of data science, which makes new informative discoveries about data. In this book two advanced algorithm named as K-Means Clustering and Frequent Item sets mining are applied on Hadoop MapReduce environment, which presents them in a problem/solution format. Predictive analysis of the output is done with the help of Tableau. Each problem is explored step by step, which automatically helps the reader in growing more comfortable with Hadoop in the world of big data. This hand book helps the reader to demonstrate how the real world data is handled using hadoop framework. It also helps readers in understanding the basic concepts of MapReduce and Hadoop Distributed File System (HDFS). Bestandsnummer des Verk�ufers 9783659906244

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Knowledge Discovery Using Big Data Analytics

Ruchi Agarwal

Verlag: LAP LAMBERT Academic Publishing Jun 2016, 2016

ISBN 10: 3659906247 ISBN 13: 9783659906244

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Taschenbuch. Zustand: Neu. Neuware -In the present scenario, Hadoop is just like the kernel for big data, having distributed storage and compute capabilities to handle structured/semi-structured/unstructured data. Hadoop framework is also utilized for data warehousing and in the field of data science, which makes new informative discoveries about data. In this book two advanced algorithm named as K-Means Clustering and Frequent Item sets mining are applied on Hadoop MapReduce environment, which presents them in a problem/solution format. Predictive analysis of the output is done with the help of Tableau. Each problem is explored step by step, which automatically helps the reader in growing more comfortable with Hadoop in the world of big data. This hand book helps the reader to demonstrate how the real world data is handled using hadoop framework. It also helps readers in understanding the basic concepts of MapReduce and Hadoop Distributed File System (HDFS).Books on Demand GmbH, �berseering 33, 22297 Hamburg 84 pp. Englisch. Bestandsnummer des Verk�ufers 9783659906244

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Knowledge Discovery Using Big Data Analytics

Ruchi Agarwal

Verlag: LAP LAMBERT Academic Publishing Jun 2016, 2016

ISBN 10: 3659906247 ISBN 13: 9783659906244

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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the present scenario, Hadoop is just like the kernel for big data, having distributed storage and compute capabilities to handle structured/semi-structured/unstructured data. Hadoop framework is also utilized for data warehousing and in the field of data science, which makes new informative discoveries about data. In this book two advanced algorithm named as K-Means Clustering and Frequent Item sets mining are applied on Hadoop MapReduce environment, which presents them in a problem/solution format. Predictive analysis of the output is done with the help of Tableau. Each problem is explored step by step, which automatically helps the reader in growing more comfortable with Hadoop in the world of big data. This hand book helps the reader to demonstrate how the real world data is handled using hadoop framework. It also helps readers in understanding the basic concepts of MapReduce and Hadoop Distributed File System (HDFS). 84 pp. Englisch. Bestandsnummer des Verk�ufers 9783659906244

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