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: Information Systems Management in the Big Data Era
  name:
    name part: Lake, Peter.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Drake, Robert.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVII, 293 p. 73 illus. online resource.
  abstract: This timely text/reference explores the business and technical issues involved in the management of information systems in the era of big data and beyond. The book presents a solid introduction to the concepts of information systems and big data, guiding the reader from first principles and making extensive use of examples to promote a deeper understanding of both theory and practice. Topics and features: Presents review questions and discussion topics in each chapter for classroom group work and individual research assignments Discusses the potential use of a variety of big data tools and techniques in a business environment, explaining how these can fit within an information systems strategy Reviews existing theories and practices in information systems, and explores their continued relevance in the era of big data Describes the key technologies involved in information systems in general and big data in particular, placing these technologies in an historic context Suggests areas for further research in this fast moving domain Equips readers with an understanding of the important aspects of a data scientist’s job Provides hands-on experience to further assist in the understanding of the technologies involved With a Foreword by Professor Richard Hill, Head of the Department of Computing and Mathematics at the University of Derby, UK This comprehensive and accessible work is emine ntly suitable for modular courses on modern information systems, for students of both computer science and management. Professionals interested in data science in the context of how it can be used in business will also find the book to be ideal for self-study.
  table of contents: Introducing Big Data -- Strategy -- Structure -- Style -- Staff -- Statistical Thinking -- Synthesis -- Systems -- Sources -- Security -- Technical Insights -- The Future of IS in the Era of Big Data.
  note: by Peter Lake, Robert Drake.
  subject:
    topic: Computer science
  subject:
    topic: Software engineering
  subject:
    topic: Data structures (Computer science)
  subject:
    topic: Database management
  subject:
    topic: Management information systems
  subject:
    topic: Computer Science
  subject:
    topic: Management of Computing and Information Systems
  subject:
    topic: Database Management
  subject:
    topic: Data Structures
  subject:
    topic: Software Engineering
  classification: QA76.9.M3
  classification: 005.74
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Advanced Information and Knowledge Processing
  identifier: 9783319135038
  identifier: http://dx.doi.org/10.1007/978-3-319-13503-8
  record info:
    record creation date: 150112
    record change date: 20151103131023.0
    record identifier: 978-3-319-13503-8