Big data systems: a 360-degree approach

By:

Shamsi, Jawwad Ahmed

Contributor(s):

Khojaye, Muhammad Ali

Material type: Text

TextSeries: Chapman & Hall/CRC Big Data SeriesPublication details: CRC Press Boca Raton 2021Description: xxvii, 312 pISBN:

9780367755232

Subject(s):

DDC classification:

005.7 SHA

Summary: 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. (https://www.routledge.com/Big-Data-Systems-A-360-degree-Approach/Shamsi-Khojaye/p/book/9780367755232)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	005.7 SHA (Browse shelf(Opens below))	1	Available		005533

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.

(https://www.routledge.com/Big-Data-Systems-A-360-degree-Approach/Shamsi-Khojaye/p/book/9780367755232)

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