Your complete how-to guide to putting machine learning to work — plus use cases, code samples and notebooks The world of machine learning is evolving so quickly that it’s challenging
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Discover the fastest path to get machine learning models to production. The Big Book of MLOps will show you how data engineers, data scientists, and machine learning engineers can build
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Learn from real-world use casesGet the latest data engineering best practices Keep up with the latest trends in data engineering by downloading your new and improved copy of The Big
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By Bill Inmon, father of the data warehouse Bill Inmon, widely considered the father of the data warehouse, believes the data lakehouse presents an opportunity similar to the early years
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How to build an effective governance strategy for your data lakehouse Data, analytics and AI governance is perhaps the most important yet challenging aspect of any data and AI democratization
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When you make the decision to access the infinite advantages of a cloud migration – including operational efficiency, cost reduction, improved agility, and the ability to build problem-solving apps –
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Increasing numbers are migrating to the cloud to increase operational efficiency, reduce costs and improve agility. Taking advantage of public cloud services helps you retire existing hardware and data centres,
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Evaluating customer service software can be hard. Even for the most experienced CX professional. After all, selecting the right customer service software requires juggling a wide range of priorities across
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Unternehmen setzen Technologien zunehmend dazu ein, Mitarbeiter- und Kundenerfahrungen auf sinnvolle und angenehme Weise zu verbessern. Im heutigen dynamischen und digital geprägten Geschäftsumfeld wird von einer IT-Abteilung nicht nur erwartet,
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Les entreprises s’appuient de plus en plus sur la technologie pour se démarquertransformer l’engagement et l’expérience des collaborateurs. Dans un monde où l’entreprise dynamique fait la part belle au tout-numérique,
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