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

Agarwal, Ruchi; Vats, Satvik; Singh, Sunny

ISBN 10: 3659906247 ISBN 13: 9783659906244

Editorial: LAP LAMBERT Academic Publishing, 2016

Idioma: Ingl�s

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Detalles bibliogr�ficos

T�tulo: Knowledge Discovery Using Big Data Analytics: With Practical Approach on Hadoop
Editor: LAP LAMBERT Academic Publishing
Fecha de publicaci�n: 2016
Idioma: Ingl�s
ISBN 10: 3659906247
ISBN 13: 9783659906244
Encuadernaci�n: Encuadernaci�n de tapa blanda
Estado: New

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Sinopsis

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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