Big data : principles and paradigms / [edited by] Rajkumar Buyya, Rodrigo N. Calheiros and Amir Vahid Dastjerdi.
Material type:
TextPublication details: Amsterdam : Elsevier, 2016.Description: xxv, 468 pages : illustrations ; 24 cmISBN: - 9780128053942
- 005.7 23 B992
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 005.7 B992 (Browse shelf(Opens below)) | Available | 137832 |
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| 005.6 M626 Microprogramming handbook | 005.6 Sm643 Programming the Intel 80386 | 005.7 B931 Handbook of big data / | 005.7 B992 Big data : principles and paradigms / | 005.7 C235 Data science thinking : the next scientific, technological and economic revolution / | 005.7 D322 Frontiers in data science / | 005.7 D411 Ole controls inside out |
Includes bibliographical references and index.
Part I. Big data science --
part II. Big data infrastructures and platforms --
part III. Big data security and privacy --
part IV. Big data applications.
Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. To help realize Big Data's full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues.
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