Big data fundamentals : concepts, drivers & techniques / Thomas Erl, Wajid Khattak, and Paul Buhler.
Material type:
TextSeries: The Prentice Hall service technology series from Thomas Erl: Publisher: Boston : [Vancouver, BC] : Prentice Hall ; Service Tech Press, 2016Description: xv, 218 pages : illustrationsContent type: text Media type: unmediated Carrier type: volumeISBN: 9780134291079Subject(s): Big data | Data mining | Decision making -- Data processingDDC 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.
| Item type | Home library | Collection | Shelving location | Call number | Copy number | Status | Date due | Barcode | Item holds |
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UTCC Library | Books (English) | UTCC Library, Bldg 24 Fl 7 | 006.312 E69b (Browse shelf) | c. 1 | Available | 32009001063356 |
Total holds: 0
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| 006.312 D232 Data mining : concepts, methods and applications in management and engineering design / | 006.312 D883d Data mining : | 006.312 E67c Confident data skills : | 006.312 E69b Big data fundamentals : concepts, drivers & techniques / | 006.312 F492b Big data for business : the complete guide to understand data science, data analytics and data mining to boost more growth and improve business / | 006.312 G184k Knowledge discovery from data streams / | 006.312 M266 Managing and mining uncertain data / |
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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