Pro Apache Hadoop, Second Edition brings you up to speed on Hadoop – the framework of big data. Revised to cover Hadoop 2.0, the book covers the very latest developments such as YARN (aka MapReduce 2.0), new HDFS high-availability features, and increased scalability in the form of HDFS Federations. All the old content has been revised too, giving the latest on the ins and outs of MapReduce, cluster design, the Hadoop Distributed File System, and more.
This book covers everything you need to build your first Hadoop cluster and begin analyzing and deriving value from your business and scientific data. Learn to solve big-data problems the MapReduce way, by breaking a big problem into chunks and creating small-scale solutions that can be flung across thousands upon thousands of nodes to analyze large data volumes in a short amount of wall-clock time. Learn how to let Hadoop take care of distributing and parallelizing your software—you just focus on the code; Hadoop takes care of the rest.
Covers all that is new in Hadoop 2.0
Written by a professional involved in Hadoop since day one
Takes you quickly to the seasoned pro level on the hottest cloud-computing framework
What you’ll learn
Build a resilient and scalable Hadoop compute cluster.
Analyze large volumes of data in amazingly short time.
Optimize Hadoop tasks like a seasoned professional.
Implement bulletproof patterns that are proven successful.
Scale out using the new HDFS Federations feature set.
Chunk large problems into highly-parallel, MapReduce modules
Who this book is for
This book is aimed at I.T. professionals investigating Hadoop and implementing it in their organizations. Existing Hadoop users will deepen their toolkits and come up to speed on what’s new Hadoop 2.0. New Hadoop users will quickly move to the seasoned professional level in their use of the toolset.
Description:
Pro Apache Hadoop, Second Edition brings you up to speed on Hadoop – the framework of big data. Revised to cover Hadoop 2.0, the book covers the very latest developments such as YARN (aka MapReduce 2.0), new HDFS high-availability features, and increased scalability in the form of HDFS Federations. All the old content has been revised too, giving the latest on the ins and outs of MapReduce, cluster design, the Hadoop Distributed File System, and more.
This book covers everything you need to build your first Hadoop cluster and begin analyzing and deriving value from your business and scientific data. Learn to solve big-data problems the MapReduce way, by breaking a big problem into chunks and creating small-scale solutions that can be flung across thousands upon thousands of nodes to analyze large data volumes in a short amount of wall-clock time. Learn how to let Hadoop take care of distributing and parallelizing your software—you just focus on the code; Hadoop takes care of the rest.
What you’ll learn
Who this book is for
This book is aimed at I.T. professionals investigating Hadoop and implementing it in their organizations. Existing Hadoop users will deepen their toolkits and come up to speed on what’s new Hadoop 2.0. New Hadoop users will quickly move to the seasoned professional level in their use of the toolset.
Table of Contents
Motivation for Big Data
Hadoop Concepts
Getting Started with the Hadoop Framework
Hadoop Administration
Basics of MapReduce Development
Advanced MapReduce Development
Hadoop Input Output
Testing Hadoop Programs
Monitoring Hadoop
Data Warehousing using Hadoop
Data Processing using Pig
HCatalog and Hadoop in the Enterprise
Log Analysis using Hadoop
Building Real-Time Systems using HBase
Data Science With Hadoop
Hadoop in the Cloud
Building a YARN Application
Appendix A
Appendix B
Appendix C
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