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Data Engineering for AI : Enhance data persistence strategies for optimal AI and analytical workload performance (English Edition)

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...

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Библиографические подробности
Главные авторы:	Goud Katta, Sundeep, Kumar, Lav (Автор)
Формат:	Livre numérique
Язык:	Anglais
Опубликовано:	New Delhi : BPB Publications 2025. Paris : Cyberlibris
Online-ссылка:	Accès Université d'Orléans et IFPM
Примечание:	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

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