High-Performance Big-Data Analytics (Computer Communications and Networks)

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This book presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics. Features: includes case studies and learning activities throughout the book and self-study exercises in every chapter; presents detailed case studies on social media analytics for intelligent businesses and on big data analytics (BDA) in the healthcare sector; describes the network infrastructure requirements for effective transfer of big data, and the storage infrastructure requirements of applications which generate big data; examines real-time analytics solutions; introduces in-database processing and in-memory analytics techniques for data mining; discusses the use of mainframes for handling real-time big data and the latest types of data management systems for BDA; provides information on the use of cluster, grid and cloud computing systems for BDA; reviews the peer-to-peer techniques and tools and the common information visualization techniques, used in BDA.
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Description

Topics and features:

  • Includes case studies and learning activities throughout the book, and self-study exercises at the end of every chapter
  • Presents detailed case studies on social media analytics for intelligent businesses, and on big data analytics in the healthcare sector
  • Describes the network infrastructure requirements for effective transfer of big data, and the storage infrastructure requirements of applications which generate big data
  • Examines real-time analytics solutions, such as machine data analytics and operational analytics
  • Introduces in-database processing and in-memory analytics techniques for data mining
  • Discusses the use of mainframes for handling real-time big data, and the latest types of data management systems for big and fast data analytics
  • Provides information on the use of cluster, grid and cloud computing systems for big data analytics and data-intensive processing
  • Reviews the peer-to-peer techniques and tools, and the common information visualization techniques, used in big data analytics

Product details

  • Hardcover: 428 pages
  • Publisher: Springer Nature; 1st ed. 2015 edition (28 October 2015)
  • Language: English
  • ISBN-10: 3319207431
  • ISBN-13: 978-3319207438
  • Product Dimensions: 15.6 x 2.5 x 23.4 cm

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