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:
    non sort: An
    title: architecture for fast and general data processing on large clusters
  name:
    name part: Zaharia, Matei
    role:
      role term: creator
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  genre: biography
  genre: Electronic data.
  origin info:
    place:
      place term: nyu
    date issued: 2016
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource PDF (xii, 128 pages) : illustrations.
  abstract: The past few years have seen a major change in computing systems, as growing data volumes and stalling processor speeds require more and more applications to scale out to clusters. Today, a myriad data sources, from the Internet to business operations to scientific instruments, produce large and valuable data streams. However, the processing capabilities of single machines have not kept up with the size of data. As a result, organizations increasingly need to scale out their computations over clusters. At the same time, the speed and sophistication required of data processing have grown. In addition to simple queries, complex algorithms like machine learning and graph analysis are becoming common. And in addition to batch processing, streaming analysis of real-time data is required to let organizations take timely action. Future computing platforms will need to not only scale out traditional workloads, but support these new applications too.
  table of contents: 1. Introduction -- 1.1 Problems with specialized systems -- 1.2 Resilient distributed datasets (RDDs) -- 1.3 Models implemented over RDDs -- 1.4 Summary of results -- 1.5 Book overview --
  table of contents: 2. Resilient distributed datasets -- 2.1 Introduction -- 2.2 RDD abstraction -- 2.3 Spark programming interface -- 2.4 Representing RDDs -- 2.5 Implementation -- 2.6 Evaluation -- 2.7 Discussion -- 2.8 Related work -- 2.9 Summary --
  table of contents: 3. Models built over RDDs -- 3.1 Introduction -- 3.2 Techniques for implementing other models on RDDs -- 3.3 Shark: SQL on RDDs -- 3.4 Implementation -- 3.5 Performance -- 3.6 Combining SQL with complex analytics -- 3.7 Summary --
  table of contents: 4. Discretized streams -- 4.1 Introduction -- 4.2 Goals and background -- 4.3 Discretized streams (D-streams) -- 4.4 System architecture -- 4.5 Fault and straggler recovery -- 4.6 Evaluation -- 4.7 Discussion -- 4.8 Related work -- 4.9 Summary --
  table of contents: 5. Generality of RDDs -- 5.1 Introduction -- 5.2 Expressiveness perspective -- 5.3 Systems perspective -- 5.4 Limitations and extensions -- 5.5 Related work -- 5.6 Summary --
  table of contents: 6. Conclusion -- 6.1 Lessons learned -- 6.2 Evolution of spark in industry -- 6.3 Future work -- References -- Author's biography.
  target audience: specialized
  note: Matei Zaharia.
  note: Abstract freely available; full-text restricted to subscribers or individual document purchasers.
  note: Also available in print.
  note: Mode of access: World Wide Web.
  note: System requirements: Adobe Acrobat Reader.
  note: Includes bibliographical references (pages 119-128).
  subject:
    topic: Big data
  subject:
    topic: Distributed databases
  subject:
    topic: Electronic data processing
    topic: Distributed processing
  classification: QA76.9.D5 Z242 2016
  classification: 004.36
  related item:
    title info:
      title: ACM books ; #11
  identifier: 9781970001570
  identifier: 9781970001563
  identifier: 9781970001587
  identifier: 9781970001594
  identifier: http://proxy.library.tamu.edu/login
  access condition: Abstract freely available; full-text restricted to subscribers or individual document purchasers.
  record info:
    record content source: CaBNVSL
    record creation date: 160511
    record change date: 20210728140027.0
    record identifier: in00004003786
    language of cataloging:
      language term: eng