Modern Data Architecture in AI : Optimize AI data storage, versioning, and partitioning with lakehouse
Description: Building effective AI solutions demands a robust data architecture capable of handling vast, diverse, and real-time data. This book aims to provide a deep exploration of the tools, technologies, strategies, and best practices that necessitate the design, implementation, and management o...
Uloženo v:
| Hlavní autoři: | Choudhury, Abhik, Puchakayala, Praneeth (Autor), Badlani, Aishwarya (Autor) |
|---|---|
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
New Delhi :
BPB Publications
2025.
Paris : Cyberlibris |
| On-line přístup: | Accès Université d'Orléans et IFPM |
| Poznámka: |
Couverture. https://static2.cyberlibris.com/books_upload/300pix/9789365899771.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Modern Data Architecture in AI, Optimize AI data storage, versioning, and partitioning with lakehouse, Abhik Choudhury, Praneeth Puchakayala, Aishwarya Badlani, New Delhi, BPB Publications, 2025, 1 vol. (403 p.), 978-93-6589-977-1 |
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