Big data fundamentals: concepts, drivers and techniques
By: Erl,Thomas.
Contributor(s): Khattak, Wajid | Buhler, Paul.
Publisher: Noida; Pearson Education, 2016Description: 218p.ISBN: 9789332575073.Subject(s): Big data | Data mining | Decision making-Data processingUDC classification: 681.3.016 ERL/B Summary: Big Data Fundamentals provides a pragmatic, no-nonsense introduction to Big Data. Best-selling IT author Thomas Erl and his team clearly explain key Big Data concepts, theory and terminology, as well as fundamental technologies and techniques. All coverage is supported with case study examples and numerous simple diagrams.| Item type | Current location | Call number | Status | Notes | Date due | Barcode |
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Books
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Main Library (First Floor, Rack No.35) | 681.3.016 ERL;1/B (Browse shelf) | Available | Recommended by Prof. Sreejith A | 37366 | |
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Books
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Main Library (First Floor, Rack No.35) | 681.3.016 ERL/B (Browse shelf) | Available | Recommended by Prof. Sreejith A | 37365 |
Big Data Fundamentals provides a pragmatic, no-nonsense introduction to Big Data. Best-selling IT author Thomas Erl and his team clearly explain key Big Data concepts, theory and terminology, as well as fundamental technologies and techniques. All coverage is supported with case study examples and numerous simple diagrams.
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