From Big Data to Intelligent Data : An Applied Perspective
Harfoush, Fady A.
From Big Data to Intelligent Data : An Applied Perspective by Fady A Harfoush - 1st ed. 2021. - 1 recurso en línea - Management for Professionals 2192-810X .
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.
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.
9783030769901
10.1007/978-3-030-76990-1 doi
HF54.5-54.56 / 2021 EB
From Big Data to Intelligent Data : An Applied Perspective by Fady A Harfoush - 1st ed. 2021. - 1 recurso en línea - Management for Professionals 2192-810X .
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.
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.
9783030769901
10.1007/978-3-030-76990-1 doi
HF54.5-54.56 / 2021 EB