Data Engineering for Data Science
Overview & Synopsis
This open access book aims to synthesize and integrate the research challenges in data science and data engineering. It offers a comprehensive survey of the entire data management stack, from scalable and explainable data analytics to traceable data workflows.
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freecomputerbooks.com)
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Document Information
| Document Title | Data Engineering for Data Science |
|---|---|
| Author / Organization | Gilles Dejaegere, Alberto Abelló, Kristian Torp, Alkis Simitsis |
| Subject & Discipline | Data Engineering, Data Science, Data Analysis and Data Mining, Big Data |
| Categories | Data Engineering |
| Publication Year | 2026 |
| ISBN | 978-3032187642 |
| License / Rights | Creative Commons License (CC) |
| Resource Verification | ✓ Verified Direct PDF Available |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Reported File Size | 12658.9 KB (12,962,762 bytes) |
| Language | ENGLISH |
| Catalog ID | DOC-112973 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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