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Data Engineering for Data Science
Data Engineering for Data Science
It offers a comprehensive survey of the entire data management stack, from scalable and explainable data analytics to traceable data workflows. mso-ansi-language: EN-US;">The book is designed to be a valuable resource for both researchers and practitioners seeking to leverage data engineering for data science applications.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | May 30, 2026 |
| ISBN13 | 9783032187642 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 360 |
| Dimensions | 150 × 220 × 20 mm · 716 g |
| Language | German |
| Editor | Abello, Alberto |
| Editor | Dejaegere, Gilles |
| Editor | Simitsis, Alkis |
| Editor | Torp, Kristian |