Screen LibraryFrom big data to intelligent data : an applied perspective /
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 conce...
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| Main Authors: | |
|---|---|
| Published: |
Springer,
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| Publisher Address: | Cham : |
| Publication Dates: | [2021] |
| Literature type: | Book |
| Language: | English |
| Series: |
Management for professionals,
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| Subjects: | |
| Summary: |
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. |
| Carrier Form: | xi, 111 pages : illustrations ; 24 cm. |
| ISBN: | 9783030769925 |
| Index Number: | HF5548 |
| CLC: | F272.7-39 |
| Call Number: | F272.7-39/H278 |
| Contents: | 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. |