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

Eadline, Douglas

ISBN 10: 0134049942 / ISBN 13: 9780134049946

Published by Addison-Wesley Professional, 2015

About this Item

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Bibliographic Details

• Title: Hadoop 2 Quick-Start Guide : Learn the Essentials of Big Data Computing in the Apache Hadoop 2 Ecosystem
• Publisher: Addison-Wesley Professional
• Publication Date: 2015
• Language: English
• ISBN 10: 0134049942
• ISBN 13: 9780134049946
• Binding: Soft cover
• Condition: good

About this title

Synopsis

Get Started Fast with Apache Hadoop^® 2, YARN, and Today’s Hadoop Ecosystem

With Hadoop 2.x and YARN, Hadoop moves beyond MapReduce to become practical for virtually any type of data processing. Hadoop 2.x and the Data Lake concept represent a radical shift away from conventional approaches to data usage and storage. Hadoop 2.x installations offer unmatched scalability and breakthrough extensibility that supports new and existing Big Data analytics processing methods and models.

Hadoop^® 2 Quick-Start Guide is the first easy, accessible guide to Apache Hadoop 2.x, YARN, and the modern Hadoop ecosystem. Building on his unsurpassed experience teaching Hadoop and Big Data, author Douglas Eadline covers all the basics you need to know to install and use Hadoop 2 on personal computers or servers, and to navigate the powerful technologies that complement it.

Eadline concisely introduces and explains every key Hadoop 2 concept, tool, and service, illustrating each with a simple “beginning-to-end” example and identifying trustworthy, up-to-date resources for learning more.

This guide is ideal if you want to learn about Hadoop 2 without getting mired in technical details. Douglas Eadline will bring you up to speed quickly, whether you’re a user, admin, devops specialist, programmer, architect, analyst, or data scientist.

Coverage Includes

• Understanding what Hadoop 2 and YARN do, and how they improve on Hadoop 1 with MapReduce
• Understanding Hadoop-based Data Lakes versus RDBMS Data Warehouses
• Installing Hadoop 2 and core services on Linux machines, virtualized sandboxes, or clusters
• Exploring the Hadoop Distributed File System (HDFS)
• Understanding the essentials of MapReduce and YARN application programming
• Simplifying programming and data movement with Apache Pig, Hive, Sqoop, Flume, Oozie, and HBase
• Observing application progress, controlling jobs, and managing workflows
• Managing Hadoop efficiently with Apache Ambari–including recipes for HDFS to NFSv3 gateway, HDFS snapshots, and YARN configuration
• Learning basic Hadoop 2 troubleshooting, and installing Apache Hue and Apache Spark

About the Author

Douglas Eadline began his career as a practitioner and a chronicler of the Linux cluster HPC revolution and now documents Big Data analytics. Starting with the first Beowulf Cluster how-to document, Doug has written hundreds of articles, white papers, and instructional documents covering virtually all aspects of High Performance Computing (HPC). Prior to starting and editing the popular ClusterMonkey.net website in 2005, he served as editor-in-chief for ClusterWorld Magazine, and was senior HPC editor for Linux Magazine. Currently, he is a writer and consultant to the HPC/Data Analytics industry and leader of the Limulus Personal Cluster Project (limulus.basement-supercomputing.com). He authored Hadoop Fundamentals LiveLessons, Second Edition (2015), and Apache Hadoop YARN LiveLessons (2014), and is coauthor of Apache HadoopTM YARN (2014), all from Addison-Wesley.