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Hadoop 2 Quick-Start Guide : Learn the Essentials of Big Data Computing in the Apache Hadoop 2 Ecosystem

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Get started fast with Apache Hadoop 2, with the first easy, accessible guide to this revolutionary Big Data technology. Building on his unsurpassed experience teaching Hadoop and Big Data, Dr. Douglas Eadline covers all the basics you need to know to install and use Hadoop 2 on both personal computers and servers, and navigate the entire Apache Hadoop ecosystem.

 

Eadline demystifies Hadoop 2, explains the problems it solves, shows how it relates to Big Data, and demonstrates both administrators and users work with it. He explains the central role of MapReduce in Hadoop 1, and how (and why) YARN and Hadoop 2 move beyond MapReduce. You'll find essential information on:

  • Planning and performing Hadoop 2 installations -- including decisions about hardware, software, clustering, and HDFS
  • Using the Hadoop Distributed File System (HDFS) and working around its tradeoffs
  • Running and benchmarking Hadoop 2 programs
  • Working with MapReduce -- including basic programming examples
  • Using higher-level tools, including Pig and Hive
  • Getting started with Apache Hadoop YARN frameworks
  • Administering Hadoop 2 with Ambari, rmadmin, and automated scripts

From its Getting Started checklist/flowchart to its roadmap of additional resources,Hadoop 2 Quick-Start Guide is your perfect Hadoop 2 starting point -- and your fastest way to start mastering Big Data.

Get started fast with Apache Hadoop 2, with the first easy, accessible guide to this revolutionary Big Data technology. Building on his unsurpassed experience teaching Hadoop and Big Data, Dr. Douglas Eadline covers all the basics you need to know to install and use Hadoop 2 on both personal computers and servers, and navigate the entire Apache Hadoop ecosystem.

Eadline demystifies Hadoop 2, explains the problems it solves, shows how it relates to Big Data, and demonstrates both administrators and users work with it. He explains the central role of MapReduce in Hadoop 1, and how (and why) YARN and Hadoop 2 move beyond MapReduce. You'll find essential information on:

  • Planning and performing Hadoop 2 installations -- including decisions about hardware, software, clustering, and HDFS
  • Using the Hadoop Distributed File System (HDFS) and working around its tradeoffs
  • Running and benchmarking Hadoop 2 programs
  • Working with MapReduce -- including basic programming examples
  • Using higher-level tools, including Pig and Hive
  • Getting started with Apache Hadoop YARN frameworks
  • Administering Hadoop 2 with Ambari, rmadmin, and automated scripts

From its Getting Started checklist/flowchart to its roadmap of additional resources, Hadoop 2 Quick-Start Guide is your perfect Hadoop 2 starting point -- and your fastest way to start mastering Big Data.

Number of Pages: 277.0
Genre: Computers + Internet
Series Title: Addison-wesley Data & Analytics Series
Format: Paperback
Publisher: Pearson P T R
Author: Douglas Eadline
Language: English
Street Date: November 5, 2015
TCIN: 16885048
UPC: 9780134049946
Item Number (DPCI): 247-41-5257

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