Big data fundamentals : concepts, drivers & techniques
Material type:
TextSeries: Publication details: Chennai Pearson 2016Description: xv, 218 pISBN: 9789332575073Subject(s): Big data | Data mining | Decision making | Big data | Data mining | Decision makingDDC classification: 006.312 Summary: Big Data Science Fundamentals offers a comprehensive, easy-to-understand, and up-to-date understanding of Big Data for all business professionals and technologists. Leading enterprise technology author Thomas Erl introduces key Big Data concepts, theory, terminology, technologies, key analysis/analytics techniques, and more-all logically organized, presented in plain English, and supported by easy-to-understand diagrams and case study examples.
| Item type | Current library | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
BK
|
Stack | 006.312 ERL/B (Browse shelf (Opens below)) | Available | 54416 |
Includes index.
Second publisher place of publication taken from publisher's web site.
Big Data Science Fundamentals offers a comprehensive, easy-to-understand, and up-to-date understanding of Big Data for all business professionals and technologists. Leading enterprise technology author Thomas Erl introduces key Big Data concepts, theory, terminology, technologies, key analysis/analytics techniques, and more-all logically organized, presented in plain English, and supported by easy-to-understand diagrams and case study examples.
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