Hadoop 2 Quick-Start Guide: Learn the Essentials of Big Data Computing in the Apache Hadoop 2 Ecosystem [Lingua inglese] - Brossura

Eadline, Douglas Eadline

Brossura

ISBN 10: 0134049942 ISBN 13: 9780134049946

Casa editrice: Addison-Wesley Professional, 2015

Riassunto

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.

Su questo libro

L'autore:

Doug Eadline, Ph.D., began his career as a practitioner and a chronicler of the Linux Cluster HPC revolution and now documents big data analytics. Starting with the firstBeowulf How To document, Dr. Eadline has written hundreds of articles, white papers, and instructional documents covering virtually all aspects of HPC computing. Prior to starting and editing the popularClusterMonkey.net web site in 2005, he served as editor-in-chief forClusterWorld Magazine, and was Senior HPC Editor for Linux Magazine. Currently, he is a consultant to the HPC industry and writes a monthly column inHPC Admin Magazine. He has practical hands on experience in many aspects of HPC including, hardware and software design, benchmarking, storage, GPU, cloud, and parallel computing. He is the coauthor ofApache Hadoop™ YARN book, Hadoop Fundamentals LiveLessons,and Apache Hadoop YARN LiveLessons.

Product Description:

Get Started Fast with Apache Hadoop(R) 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(R) 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,

Su questa edizione

• Editore: Addison-Wesley Professional
• Data di pubblicazione: 2015
• ISBN 10: 0134049942
• ISBN 13: 9780134049946
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 300