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Big data processing with Hadoop

This book outlines the overview of the Big data. It presents the big data components organized as four layers such as: big data sources, data massaging and store layer, analysis layer, and consumption layer. It also gives a detailed knowledge of Hadoop platform.

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Bibliographic Details
Main Authors: Revathi, T. (Author), Muneeswaran, K. (Author), Pepsi, M. Blessa Binolin (Author)
Format: Book
Language:English
Published: Hershey, PA, USA Engineering Science Reference (an imprint of IG Global) 2019
Series:Advances in data mining and database management (ADMDM) book series
Subjects:
Apache Hadoop
Big data
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Table of Contents:
  • Chapter 1-Big data overview
  • Chapter 2-Big data archictecture components
  • Chapter 3-Hadoop history and architecture
  • Chapter 4-Hadoop setup
  • Chapter 5-Hadoop distributed file systems (HDFS)
  • Chapter 6-YARN
  • Chapter 7-Hadoop mapreduce programming
  • Chapter 8-Mapreduce and YARN API
  • Chapter 9-Hadoop tools

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