Hadoop mapreduce v2 cookbook : explore the hadoop mapreduce v2 ecosystem to gain insights from very large datasets

If you are a Big Data enthusiast and wish to use Hadoop v2 to solve your problems, then this book is for you. This book is for Java programmers with little to moderate knowledge of Hadoop MapReduce. This is also a one-stop reference for developers and system admins who want to quickly get up to spee...

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Bibliographic Details
Main Author: Gunarathne, Thilina, (Author)
Other Authors: Jarek Blaminsky, (Cover designer), Gordon, Edward, (Editor), Lalwani, Puja, (Editor), Paiva, Alfida, (Editor), Subramanian, Laxmi, (Editor)
Format: eBook
Language: English
Published: Birmingham, England : Packt Publishing, 2015.
Edition: Second edition.
Series: Community experience distilled.
Subjects:
Electronic data processing > Distributed processing.
File organization (Computer science)
elektronické knihy
electronic books
ISBN: 9781783285488
1783285486
9781783285471
Physical Description: 1 online resource (322 pages) : illustrations (some color)

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Table of contents

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020 |a 9781783285488  |q (electronic bk.) 
020 |a 1783285486  |q (electronic bk.) 
020 |z 9781783285471 
035 |a (OCoLC)905919092  |z (OCoLC)961492576  |z (OCoLC)1259162596 
100 1 |a Gunarathne, Thilina,  |e author. 
245 1 0 |a Hadoop mapreduce v2 cookbook :  |b explore the hadoop mapreduce v2 ecosystem to gain insights from very large datasets /  |c Thilina Gunarathne ; cover image by Jarek Blaminsky ; commissioning editor Edward Gordon ; copy editors Puja Lalwani, Alfida Paiva, Laxmi Subramanian. 
250 |a Second edition. 
264 1 |a Birmingham, England :  |b Packt Publishing,  |c 2015. 
264 4 |c ©2015 
300 |a 1 online resource (322 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Community experience distilled 
500 |a Includes index. 
505 0 |a Cover; Copyright; Credits; About the Author; Acknowledgments; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started with Hadoop v2; Introduction; Setting up Hadoop v2 on your local machine; Writing a WordCount MapReduce application, bundling it, and running it using Hadoop local mode; Adding a combiner step to the WordCount MapReduce program; Setting up HDFS; Setting up Hadoop YARN in a distributed cluster environment using Hadoop v2; Setting up Hadoop ecosystem in a distributed cluster environment using a Hadoop distribution 
505 8 |a HDFS command-line file operationsRunning the WordCount program in a distributed cluster environment; Benchmarking HDFS using DFSIO; Benchmarking Hadoop MapReduce using TeraSort; Chapter 2: Cloud Deployments -- Using Hadoop YARN on Cloud Environments; Introduction; Running Hadoop MapReduce v2 computations using Amazon Elastic MapReduce; Saving money using Amazon EC2 Spot Instances to execute EMR job flows; Executing a Pig script using EMR; Executing a Hive script using EMR; Creating an Amazon EMR job flow using the AWS Command Line Interface 
505 8 |a Deploying an Apache HBase cluster on Amazon EC2 using EMRUsing EMR bootstrap actions to configure VMs for the Amazon EMR jobs; Using Apache Whirr to deploy an Apache Hadoop cluster in a cloud environment; Chapter 3: Hadoop Essentials -- Configurations, Unit Tests, and Other APIs; Introduction; Optimizing Hadoop YARN and MapReduce configurations for cluster deployments; Shared user Hadoop clusters -- using Fair and Capacity schedulers; Setting classpath precedence to user-provided JARs; Speculative execution of straggling tasks; Unit testing Hadoop MapReduce applications using MRUnit 
505 8 |a Integration testing Hadoop MapReduce applications using MiniYarnClusterAdding a new DataNode; Decommissioning DataNodes; Using multiple disks/volumes and limiting HDFS disk usage; Setting the HDFS block size; Setting the file replication factor; Using the HDFS Java API; Chapter 4: Developing Complex Hadoop MapReduce Applications; Introduction; Choosing appropriate Hadoop data types; Implementing a custom Hadoop Writable data type; Implementing a custom Hadoop key type; Emitting data of different value types from a Mapper; Choosing a suitable Hadoop InputFormat for your input data format 
505 8 |a Adding support for new input data formats -- implementing a custom InputFormatFormatting the results of MapReduce computations -- using Hadoop OutputFormats; Writing multiple outputs from a MapReduce computation; Hadoop intermediate data partitioning; Secondary sorting -- sorting Reduce input values; Broadcasting and distributing shared resources to tasks in a MapReduce job -- Hadoop DistributedCache; Using Hadoop with legacy applications -- Hadoop Streaming; Adding dependencies between MapReduce jobs; Hadoop counters for reporting custom metrics; Chapter 5: Analytics; Introduction 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a If you are a Big Data enthusiast and wish to use Hadoop v2 to solve your problems, then this book is for you. This book is for Java programmers with little to moderate knowledge of Hadoop MapReduce. This is also a one-stop reference for developers and system admins who want to quickly get up to speed with using Hadoop v2. It would be helpful to have a basic knowledge of software development using Java and a basic working knowledge of Linux. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Electronic data processing  |x Distributed processing. 
650 0 |a File organization (Computer science) 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Jarek Blaminsky,  |e cover designer. 
700 1 |a Gordon, Edward,  |e editor. 
700 1 |a Lalwani, Puja,  |e editor. 
700 1 |a Paiva, Alfida,  |e editor. 
700 1 |a Subramanian, Laxmi,  |e editor. 
776 0 8 |i Print version:  |a Gunarathne, Thilina.  |t Hadoop mapreduce v2 cookbook : explore the hadoop mapreduce v2 ecosystem to gain insights from very large datasets.  |b Second edition.  |d Birmingham, England ; Mumbai, [India] : Packt Publishing, ©2015  |h iv, 304 pages  |k Community experience distilled.  |z 9781783285471 
830 0 |a Community experience distilled. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpHMRCEHM4/hadoop-mapreduce-v2?kpromoter=marc  |y Full text 

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