Big Data and Hadoop (Digital M)

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A Practical Guide to learn HIVE, PIG, SQOOP Key Features ● Overview Of Big Data ● Basics of Hadoop ● Hadoop Distributed File System ● HBase, MapReduce ● HIVE: The Data-ware House Of Hadoop ● PIG: The Higher Level Programming Environment ● SQOOP: Importing Data From Heterogeneous Sources ● Flume, Ozzie, Zookeeper & Big Data Stream Mining. Description The book contains the latest trend in IT industry ‘Big Data and Hadoop’. It explain about how big is ‘Big Data’ and why everybody is trying to implement this into their IT project. It includes research work of various topics, theoretical and practical approach, each component of the architecture is described along with current industry trends. B…