Data Engineering for AI : Enhance data persistence strategies for optimal AI and analytical workload performance (English Edition)
Description: Data engineering is the critical discipline of building and maintaining the systems that enable organizations to collect, store, process, and analyze vast amounts of data, especially for advanced applications like AI and ML. It is about ensuring that it is reliable, accessible, and high...
محفوظ في:
| المؤلفون الرئيسيون: | , |
|---|---|
| التنسيق: | Livre numérique |
| اللغة: | Anglais |
| منشور في: |
New Delhi :
BPB Publications
2025.
Paris : Cyberlibris |
| الوصول للمادة أونلاين: | Accès Université d'Orléans et IFPM |
| ملاحظة: |
Couverture. https://static2.cyberlibris.com/books_upload/300pix/9789365893403.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Data Engineering for AI, Enhance data persistence strategies for optimal AI and analytical workload performance (English Edition), Sundeep Goud Katta, Lav Kumar, New Delhi, BPB Publications, 2025, 1 vol. (379 p.), 978-93-6589-340-3 |