Big data systems a 360-degree approach / Jawwad Ahmed Shamsi, Muhammad AlI Khojaye.
| Author/creator | Shamsi, Jawwad Ahmad |
| Other author | Khojaye, Muhammad AlI. |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton : CRC Press/Taylor & Franics Group, 2021. |
| Description | xxvi, 312 pages : illustrations ; 26 cm |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Series | Chapman & Hall/CRC big data series |
| Abstract | "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. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2020050608 |
| ISBN | 9781498752701 (hardback) |
| ISBN | (ebook) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |