Description
| Product ID: | 9780134291079 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | US |
| Series: | The Pearson Service Technology Series from Thomas Erl |
| Title: | Big Data Fundamentals |
| Subtitle: | Concepts, Drivers & Techniques |
| Authors: | Author: Paul Buhler, Wajid Khattak, Thomas Erl |
| Page Count: | 240 |
| Subjects: | Data warehousing, Data warehousing, Data mining, Data mining |
| Description: | Select Guide Rating 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. “This text should be required reading for everyone in contemporary business.” --Peter Woodhull, CEO, Modus21 “The one book that clearly describes and links Big Data concepts to business utility.” --Dr. Christopher Starr, PhD “Simply, this is the best Big Data book on the market!” --Sam Rostam, Cascadian IT Group “...one of the most contemporary approaches I’ve seen to Big Data fundamentals...” --Joshua M. Davis, PhD The Definitive Plain-English Guide to Big Data for Business and Technology Professionals 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. The authors begin by explaining how Big Data can propel an organization forward by solving a spectrum of previously intractable business problems. Next, they demystify key analysis techniques and technologies and show how a Big Data solution environment can be built and integrated to offer competitive advantages.
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| Imprint Name: | Pearson |
| Publisher Name: | Pearson Education (US) |
| Country of Publication: | GB |
| Publishing Date: | 2016-01-13 |
