Details
From Big Data to Intelligent Data
An Applied PerspectiveManagement for Professionals
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53,49 € |
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| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 26.06.2021 |
| ISBN/EAN: | 9783030769901 |
| Sprache: | englisch |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<p>This book addresses many of the gaps in how industry and academia are currently tackling problems associated with big data. It introduces novel concepts, describes the end-to-end process, and connects the various pieces of the puzzle to offer a holistic view. In addition, it explains important concepts for a wide audience, using accessible language, diagrams, examples and analogies to do so. The book is intended for readers working in industry who want to expand their knowledge or pursue a related degree, and employs an industry-centered perspective.</p><br><p></p>
1. Introduction.- 2. High Fidelity Data.- 3. Connecting the Dots.- 4. Real Time Analytics.- 5. Predicting the Future.- 6. The New Company.- 7. Data Ethics: Facts & Fiction.- 8. Role of Academia, Industry, and Research.
Dr. Fady A. Harfoush is the director of the CME Group Foundation Business Analytics Lab and an executive lecturer at the Quinlan School of Business, Loyola University, Chicago, USA. Prior to joining Quinlan, he served as the director of data warehouse and applications development for Thomson Reuters, a leading provider of multiple aggregated financial data. Dr. Harfoush is also the co-founder of Social Market Analytics (SMA), a leader in harnessing the massive amount of unstructured social and financial data currently being generated.
This book addresses many of the gaps in how industry and academia are currently tackling problems associated with big data. It introduces novel concepts, describes the end-to-end process, and connects the various pieces of the puzzle to offer a holistic view. In addition, it explains important concepts for a wide audience, using accessible language, diagrams, examples and analogies to do so. The book is intended for readers working in industry who want to expand their knowledge or pursue a related degree, and employs an industry-centered perspective.
Uses simple language and methods to explain complex ideas Integrates theoretical concepts and practical industry insights Addresses pertinent issues, challenges, and opportunities in big data
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