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: Pro Hadoop
  name:
    name part: Venner, Jason.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: 440 p. online resource.
  abstract: You've heard the hype about Hadoop: it runs petabyte–scale data mining tasks insanely fast, it runs gigantic tasks on clouds for absurdly cheap, it's been heavily committed to by tech giants like IBM, Yahoo!, and the Apache Project, and it's completely open-source (thus free). But what exactly is it, and more importantly, how do you even get a Hadoop cluster up and running? From Apress, the name you've come to trust for hands–on technical knowledge, Pro Hadoop brings you up to speed on Hadoop. You learn the ins and outs of MapReduce; how to structure a cluster, design, and implement the Hadoop file system; and how to build your first cloud–computing tasks using Hadoop. 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. Best of all, you'll learn from a tech professional who's been in the Hadoop scene since day one. Written from the perspective of a principal engineer with down–in–the–trenches knowledge of what to do wrong with Hadoop, you learn how to avoid the common, expensive first errors that everyone makes with creating their own Hadoop system or inheriting someone else's. Skip the novice stage and the expensive, hard–to–fix mistakes...go straight to seasoned pro on the hottest cloud–computing framework with Pro Hadoop. Your productivity will blow your managers away.
  table of contents: Getting Started with Hadoop Core -- The Basics of a MapReduce Job -- The Basics of Multimachine Clusters -- HDFS details for Multimachine Clusters -- MapReduce Details for Multimachine Clusters -- Tuning Your MapReduce Jobs -- Unit Testing and Debugging -- Advanced and Alternate MapReduce Techniques -- Solving Problems with Hadoop -- Projects Based On Hadoop and Future Directions.
  note: by Jason Venner.
  subject:
    topic: Computer science
  subject:
    topic: Computer Science
  subject:
    topic: Computer Science, general
  classification: QA75.5-76.95
  classification: 004
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781430219439
  identifier: http://dx.doi.org/10.1007/978-1-4302-1943-9
  record info:
    record creation date: 100301
    record change date: 20151204160605.0
    record identifier: 978-1-4302-1943-9