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Big data fundamentals : concepts, drivers & techniques / Thomas Erl, Wajid Khattak, and Paul Buhler.

By: Erl, Thomas [author].
Contributor(s): Khattak, Wajid [author] | Buhler, Paul (Computer scientist) [author].
Material type: materialTypeLabelBookSeries: The Prentice Hall service technology series from Thomas Erl: Publisher: Boston : [Vancouver, BC] : Prentice Hall ; Service Tech Press, 2016Description: xv, 218 pages : illustrations.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780134291079.Subject(s): Big data | Data mining | Decision making -- Data processing | | DDC classification: 006.312
Contents:
The fundamentals of big data. Understanding big data -- Business motivations and drivers for big data adoption -- Big data adoption and planning considerations -- Enterprise technologies and big data business intelligence -- Storing and analyzing big data. Big data storage concepts -- Big data processing concepts -- Big data storage technology -- Big data analysis techniques -- Appendix A: Case study conclusion.
List(s) this item appears in: หนังสือใหม่ประจำเดือน ตุลาคม 2561
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Item type Current location Collection Call number Copy number Status Date due Barcode Item holds
Book Book UTCC Library
UTCC Library, Bldg 24 Fl 7
Books (English) 006.312 E69b (Browse shelf) c. 1 Checked out 15/10/2019 32009001063356
Total holds: 0

Includes index.

1660.00.

The fundamentals of big data. Understanding big data -- Business motivations and drivers for big data adoption -- Big data adoption and planning considerations -- Enterprise technologies and big data business intelligence -- Storing and analyzing big data. Big data storage concepts -- Big data processing concepts -- Big data storage technology -- Big data analysis techniques -- Appendix A: Case study conclusion.

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