In a world where data is generated at an unprecedented rate, organizations face the challenge of moving beyond conventional databases to store, manage, and derive valuable insights from their data. Data lakes, with their dynamic capabilities, provide a scalable, flexible, and cost-effective solution for the storage and processing of extensive and diverse datasets. They form the cornerstone for AI and machine learning initiatives, serving as the fertile ground for the development, training, and deployment of advanced AI models. We will delve into the monumental importance of data lakes in the AI era and elucidate how they act as enablers for the transformation of raw data into actionable insights.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In a world where data is generated at an unprecedented rate, organizations face the challenge of moving beyond conventional databases to store, manage, and derive valuable insights from their data. Data lakes, with their dynamic capabilities, provide a scalable, flexible, and cost-effective solution for the storage and processing of extensive and diverse datasets. They form the cornerstone for AI and machine learning initiatives, serving as the fertile ground for the development, training, and deployment of advanced AI models. We will delve into the monumental importance of data lakes in the AI era and elucidate how they act as enablers for the transformation of raw data into actionable insights. 72 pp. Englisch. Nº de ref. del artículo: 9786206792475
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Penikalapati Venkata KarthikVenkata Karthik Penikalapati is a seasoned software developer at Salesforce with over a decade of expertise in designing and managing data pipelines.Lav Kumar is an experienced Lead MTS in Salesforce with . Nº de ref. del artículo: 1251882261
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In a world where data is generated at an unprecedented rate, organizations face the challenge of moving beyond conventional databases to store, manage, and derive valuable insights from their data. Data lakes, with their dynamic capabilities, provide a scalable, flexible, and cost-effective solution for the storage and processing of extensive and diverse datasets. They form the cornerstone for AI and machine learning initiatives, serving as the fertile ground for the development, training, and deployment of advanced AI models. We will delve into the monumental importance of data lakes in the AI era and elucidate how they act as enablers for the transformation of raw data into actionable insights.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch. Nº de ref. del artículo: 9786206792475
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In a world where data is generated at an unprecedented rate, organizations face the challenge of moving beyond conventional databases to store, manage, and derive valuable insights from their data. Data lakes, with their dynamic capabilities, provide a scalable, flexible, and cost-effective solution for the storage and processing of extensive and diverse datasets. They form the cornerstone for AI and machine learning initiatives, serving as the fertile ground for the development, training, and deployment of advanced AI models. We will delve into the monumental importance of data lakes in the AI era and elucidate how they act as enablers for the transformation of raw data into actionable insights. Nº de ref. del artículo: 9786206792475
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Taschenbuch. Condición: Neu. Components of a Modern Data Lake to Support Enterprise AI Applications | An Indepth Review | Venkata Karthik Penikalapati (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206792475 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 128024554
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