rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Hadoop Beginner's Guide
  name:
    name part: Turkington, Garry.
    role:
      role term: creator
  name:
    name part: Knovel (Firm)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (911 pages)
  abstract: As a Packt Beginner's Guide, the book is packed with clear step-by-step instructions for performing the most useful tasks, getting you up and running quickly, and learning by doing. This book assumes no existing experience with Hadoop or cloud services. It assumes you have familiarity with a programming language such as Java or Ruby but gives you the needed background on the other topics.
  table of contents: Table of Contents; Hadoop Beginner's Guide; Hadoop Beginner's Guide; Credits; About the Author; About the Reviewers; www.PacktPub.com; Support files, eBooks, discount offers and more; Why Subscribe?; Free Access for Packt account holders; Preface; What this book covers; What you need for this book; Who this book is for; Conventions; Time for action -- heading; What just happened?; Pop quiz -- heading; Have a go hero -- heading; Reader feedback; Customer support; Downloading the example code; Errata; Piracy; Questions; 1. What It's All About; Big data processing; The value of data.
  table of contents: Historically for the few and not the manyClassic data processing systems; Scale-up; Early approaches to scale-out; Limiting factors; A different approach; All roads lead to scale-out; Share nothing; Expect failure; Smart software, dumb hardware; Move processing, not data; Build applications, not infrastructure; Hadoop; Thanks, Google; Thanks, Doug; Thanks, Yahoo; Parts of Hadoop; Common building blocks; HDFS; MapReduce; Better together; Common architecture; What it is and isn't good for; Cloud computing with Amazon Web Services; Too many clouds; A third way; Different types of costs.
  table of contents: AWS -- infrastructure on demand from AmazonElastic Compute Cloud (EC2); Simple Storage Service (S3); Elastic MapReduce (EMR); What this book covers; A dual approach; Summary; 2. Getting Hadoop Up and Running; Hadoop on a local Ubuntu host; Other operating systems; Time for action -- checking the prerequisites; What just happened?; Setting up Hadoop; A note on versions; Time for action -- downloading Hadoop; What just happened?; Time for action -- setting up SSH; What just happened?; Configuring and running Hadoop; Time for action -- using Hadoop to calculate Pi; What just happened?; Three modes.
  table of contents: Time for action -- configuring the pseudo-distributed modeWhat just happened?; Configuring the base directory and formatting the filesystem; Time for action -- changing the base HDFS directory; What just happened?; Time for action -- formatting the NameNode; What just happened?; Starting and using Hadoop; Time for action -- starting Hadoop; What just happened?; Time for action -- using HDFS; What just happened?; Time for action -- WordCount, the Hello World of MapReduce; What just happened?; Have a go hero -- WordCount on a larger body of text; Monitoring Hadoop from the browser; The HDFS web UI.
  table of contents: The MapReduce web UIUsing Elastic MapReduce; Setting up an account in Amazon Web Services; Creating an AWS account; Signing up for the necessary services; Time for action -- WordCount on EMR using the management console; What just happened?; Have a go hero -- other EMR sample applications; Other ways of using EMR; AWS credentials; The EMR command-line tools; The AWS ecosystem; Comparison of local versus EMR Hadoop; Summary; 3. Understanding MapReduce; Key/value pairs; What it mean; Why key/value data?; Some real-world examples; MapReduce as a series of key/value transformations.
  table of contents: Pop quiz -- key/value pairs.
  note: Electronic resource.
  subject:
    title info:
      title: Adobe Hadoop (Computer file)
  subject:
    topic: File organization (Computer science)
  subject:
    topic: Electronic data processing
    topic: Distributed processing
  subject:
    topic: Open source software
  subject:
    topic: COMPUTERS
    topic: Database Management
    topic: General
  subject:
    topic: COMPUTERS
    topic: Desktop Applications
    topic: Databases
  subject:
    topic: COMPUTERS
    topic: System Administration
    topic: Storage & Retrieval
  classification: QA76.9.F5
  classification: 005.74
  related item:
    title info:
      title: Hadoop Beginner's Guide
    name:
      name part: Turkington, Garry.
    origin info:
      publisher: Birmingham : Packt Publishing, ©2013
  identifier: 9781849517317
  identifier: 1849517312
  identifier: 9781628700237
  identifier: 1628700238
  identifier: 9781849517300
  identifier: CL0500000220 Safari Books Online
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: EBLCP
    record creation date: 130316
    record change date: 20260609152531.7
    record identifier: in00003825978
    language of cataloging:
      language term: eng