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Hypothesis Generation and Interpretation: Design Principles and Patterns for Big Data Applications - Studies in Big Data Hiroshi Ishikawa 2024 edition
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Hypothesis Generation and Interpretation: Design Principles and Patterns for Big Data Applications - Studies in Big Data
Hiroshi Ishikawa
This book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of big data applications.
372 pages, 125 Illustrations, color; 52 Illustrations, black and white; XII, 372 p. 177 illus., 125
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2024. gada 2. februāris |
| ISBN13 | 9783031435393 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 372 |
| Izmēri | 150 × 220 × 20 mm · 771 g |
| Valoda | Vācu |
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