000			02073nam a22002177a 4500
005			20240206174228.0
008			240206b |||||||| |||| 00| 0 eng d
020			_a9780367755232
082			_a005.7 _bSHA
100			_aShamsi, Jawwad Ahmed _915108
245			_aBig data systems: _ba 360-degree approach
260			_bCRC Press _aBoca Raton _c2021
300			_axxvii, 312 p.
365			_aGBP _b44.99
490			_aChapman & Hall/CRC Big Data Series
520			_aBig 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)
650			_aSystems engineering _915109
650			_aBig data _913179
700			_aKhojaye, Muhammad Ali _915110
942			_cBK _2ddc
999			_c5701 _d5701