TITLE:- TOP 10 BIG DATA HADOOP BOOKS

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• Top 10 Big Data Hadoop Books

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Hadoop The Definitive Guide

• Written by Tom White.
• Learn how to build reliable and distributed
  systems with Apache Hadoop.
• Ideal for programmers to analyze datasets of any
  size. 
• Deals with Hadoop clusters.

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MapReduce Design Patterns

• Written by Donald Miner and Adam Shook.
• provides design patterns for the MapReduce
  framework.
• unique collection of valuable MapReduce patterns.

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Advanced Analytics with Spark

•  Written by Sandy Ryza.
• Provides patterns for performing large-scale data
  analysis with Spark.
• Deals with  real-world data sets, Spark and its
  ecosystem.

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 Hadoop Operations

• Written by Eric Sammer, solution Architect at
  cloudera.
• Deals with particulars of running Hadoop.
• Shares information of maintaining big and complex
  Hadoop clusters.

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Hadoop in Practice

• Written by Alex Holmes.
• Comprises of many hadoop examples and with
  solutions.
• Explores each problem step by step.
• Each technique addresses a specific task.

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Pro Hadoop

• Written by Jason Venner.
• Provides a step by step guide to run MapReduce
  jobs using Hadoop, managing Hadoop Clusters.
• Ideal for training new MapReduce users, Cluster
  administrators.

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Hadoop Beginners Guide

• written by Garry Tarkington.
• Explains how to run Hadoop on an Ubuntu host.
• Focuses on create a Hadoop cluster on Amazon Web
  Services.

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Hadoop Real World Solutions Cookbook

• Written by Jonathan Owens, Brian Femiano and Jon
  Lentz.
• Provides real world code analytics and design
  patterns.
• Deals with implementation, debugging and
  configuration tuning.

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Optimizing Hadoop for MapReduce

• Written by Khaled Tannir.
• Deals with Optimizing Hadoop for MapReduce job
  performance.
• Covers advanced MapReduce concepts.
• Explains MapReduce job performance and its
  configuration.

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Scaling Big Data with Hadoop and Solr

• Written by Hrishikesh Karambelkar.
• Provides step-by-step guide to build a search
  engine.
• Explains the advanced topics of search with
  real-world cases.
• Deals with Apache Hadoop and Solr.

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