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TOP 10 BIG DATA HADOOP BOOKS

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Top 10 books that all hadoop nerds should read. This list includes best selling and most popular hadoop books. – PowerPoint PPT presentation

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Title: TOP 10 BIG DATA HADOOP BOOKS


1
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  • Top 10 Big Data Hadoop Books

by
3
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.

4
MapReduce Design Patterns
  • Written by Donald Miner and Adam Shook.
  • provides design patterns for the MapReduce
    framework.
  • unique collection of valuable MapReduce patterns.

5
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.

6
 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.

7
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.

8
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.

9
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.

10
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.

11
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.

12
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.

13
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