Big data systems / Jawwad Ahmad Shamsi, Muhammad AlI Khojaye.

By: Shamsi, Jawwad Ahmad [author.]Contributor(s): Khojaye, Muhammad AlI [author.]Material type: TextTextSeries: Chapman & Hall/CRC big data seriesPublisher: Boca Raton : CRC Press, 2021Edition: First editionDescription: pages cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781498752701Subject(s): Big dataDDC classification: 005.7 LOC classification: QA76.9.B45 | S53 2021Summary: "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"-- Provided by publisher.
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Includes bibliographical references and index.

"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"-- Provided by publisher.

HBK.

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