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Big Data Systems : A 360-degree Approach (Chapman & Hall/CRC Big Data Series)

By: Jawwad Ahmed Shamsi (Author) , Muhammad Ali Khojaye (Author)

1 in stock

Ksh 11,400.00

Format: Paperback or Softback

ISBN-10: 0367755238

ISBN-13: 9780367755232

Collection / Series: Chapman & Hall/CRC Big Data Series

Collection Type: Publisher collection

Publisher: Taylor & Francis Ltd

Imprint: Chapman & Hall/CRC

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jul 24th, 2023

Publication Status: Active

Product extent: 340 Pages

Weight: 654.00 grams

Dimensions (height x width x thickness): 17.70 x 25.50 x 2.10 cms

Product Classification / Subject(s): Economic statistics
Probability & statistics
Games development & programming
Databases
Data capture & analysis

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  • Description

  • Reviews

Big Data Systems encompass massive challenges related to data diversity, storage mechanisms, and requirements of massive computational power. The book's purpose is to provide a detailed overview of big data systems. It adopts a challenge-centric approach in which platforms are evaluated based on their capabilities to solve specific challenges.

Big Data Systems encompass massive challenges related to data diversity, storage mechanisms, and requirements of massive computational power. Further, capabilities of big data systems also vary with respect to type of problems. For instance, distributed memory systems are not recommended for iterative algorithms. Similarly, variations in big data systems also exist related to consistency and fault tolerance. The purpose of this book is to provide a detailed explanation of big data systems. The book covers various topics including Networking, Security, Privacy, Storage, Computation, Cloud Computing, NoSQL and NewSQL systems, High Performance Computing, and Deep Learning. An illustrative and practical approach has been adopted in which theoretical topics have been aided by well-explained programming and illustrative examples.

Key Features:

  • Introduces concepts and evolution of Big Data technology.
  • Illustrates examples for thorough understanding.
  • Contains programming examples for hands on development.
  • Explains a variety of topics including NoSQL Systems, NewSQL systems, Security, Privacy, Networking, Cloud, High Performance Computing, and Deep Learning.
  • Exemplifies widely used big data technologies such as Hadoop and Spark.
  • Includes discussion on case studies and open issues.
  • Provides end of chapter questions for enhanced learning.

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