MARC details
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02855cam a2200457Ii 4500 |
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ocn953411916 |
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OCoLC |
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20190719103256.0 |
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m o d |
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cr cnu---unuuu |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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160711s2016 maua ob 001 0 eng d |
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OPELS |
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eng |
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rda |
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pn |
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MERUC |
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951712429 |
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951977580 |
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953602489 |
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956735857 |
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957324594 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780128093467 |
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International Standard Book Number |
0128093463 |
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9780128053942 |
Qualifying information |
(print) |
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0128053941 |
Qualifying information |
(print) |
035 ## - |
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(OCoLC)953411916 |
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(OCoLC)951712429 |
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(OCoLC)951977580 |
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(OCoLC)953602489 |
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(OCoLC)956735857 |
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(OCoLC)957324594 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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QA76.9.B45 |
072 #7 - |
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COM |
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018000 |
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bisacsh |
082 04 - |
Classification number |
005.7 |
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23 |
245 00 - TITLE STATEMENT |
Title |
Big data : |
Remainder of title |
principles and paradigms / |
Statement of responsibility, etc |
edited by Rajkumar Buyya, Rodrigo N. Calheiros, Amir Vahid Dastjerdi. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
1 online resource (xxv, 468 pages) : |
Other physical details |
illustrations (some color) |
505 0# - |
Formatted contents note |
Part I. Big data science -- part II. Big data infrastructures and platforms -- part III. Big data security and privacy -- part IV. Big data applications. |
650 #0 - |
Topical term or geographic name as entry element |
Big data. |
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Topical term or geographic name as entry element |
COMPUTERS |
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Topical term or geographic name as entry element |
Big data. |
700 1# - |
Personal name |
Buyya, Rajkumar, |
Relator term |
editor. |
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Personal name |
Calheiros, Rodrigo N., |
Relator term |
editor. |
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Personal name |
Vahid Dastjerdi, Amir, |
Relator term |
editor. |
856 40 - |
Uniform Resource Identifier |
http://www.sciencedirect.com/science/book/9780128053942 |
264 #1 - |
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Cambridge, MA : |
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Morgan Kaufmann is an imprint of Elsevier, |
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[2016] |
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text |
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txt |
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rdacontent |
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computer |
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c |
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rdamedia |
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online resource |
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rdacarrier |
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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. |
588 0# - |
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Online resource; title from PDF title page (ScienceDirect, viewed July 11, 2016). |
504 ## - |
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Includes bibliographical references and index. |
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Data Processing. |
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bisacsh |
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fast |
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(OCoLC)fst01892965 |
655 #4 - |
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Electronic books. |
700 1# - |
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1970- |
776 08 - |
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Print version: |
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Big data. |
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Cambridge, MA : Morgan Kaufmann is an imprint of Elsevier, [2016] |
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0128053941 |
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9780128053942 |
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(OCoLC)946605551 |
856 40 - |
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ScienceDirect |