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: IBM InfoSphere Streams
    sub title: Accelerating Deployments with Analytic Accelerators
  name:
    name part: Ballard, Chuck
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Brandt, Oliver
    role:
      role term: author.
  name:
    name part: Devaraju, Bharath
    role:
      role term: author.
  name:
    name part: Farrell, Daniel
    role:
      role term: author.
  name:
    name part: Foster, Kevin
    role:
      role term: author.
  name:
    name part: Howard, Chris
    role:
      role term: author.
  name:
    name part: Nicholls, Peter
    role:
      role term: author.
  name:
    name part: Pasricha, Ankit
    role:
      role term: author.
  name:
    name part: Rea, Roger
    role:
      role term: author.
  name:
    name part: Schulz, Norbert
    role:
      role term: author.
  name:
    name part: Shimada, Tetsuya
    role:
      role term: author.
  name:
    name part: Thorson, John
    role:
      role term: author.
  name:
    name part: Tucker, Sandra
    role:
      role term: author.
  name:
    name part: Uleman, Robert
    role:
      role term: author.
  name:
    name part: Safari, an O'Reilly Media Company
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: xx
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (556 pages)
  abstract: This IBM® Redbooks® publication describes visual development, visualization, adapters, analytics, and accelerators for IBM InfoSphere® Streams (V3), a key component of the IBM Big Data platform. Streams was designed to analyze data in motion, and can perform analysis on incredibly high volumes with high velocity, using a wide variety of analytic functions and data types. The Visual Development environment extends Streams Studio with drag-and-drop development, provides round tripping with existing text editors, and is ideal for rapid prototyping. Adapters facilitate getting data in and out of Streams, and V3 supports WebSphere MQ, Apache Hadoop Distributed File System, and IBM InfoSphere DataStage. Significant analytics include the native Streams Processing Language, SPSS Modeler analytics, Complex Event Processing, TimeSeries Toolkit for machine learning and predictive analytics, Geospatial Toolkit for location-based applications, and Annotation Query Language for natural language processing applications. Accelerators for Social Media Analysis and Telecommunications Event Data Analysis sample programs can be modified to build production level applications. Want to learn how to analyze high volumes of streaming data or implement systems requiring high performance across nodes in a cluster? Then this book is for you. Please note that the additional material referenced in the text is not available from IBM.
  note: Ballard, Chuck.
  note: Electronic resource.
  note: Electronic reproduction. Boston, MA : Safari, Available via World Wide Web.
  note: Mode of access: World Wide Web.
  identifier: 0738439193
  identifier: 9780738439198
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record creation date: 090214
    record change date: 20260123220158.6
    record identifier: in00004214015