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Published by Manning Publications, US, 2022
ISBN 10: 1617298921 ISBN 13: 9781617298929
Language: English
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Paperback. Condition: New. There's a big gap between running machine learning and data processes as prototypes, and deploying them to a production cloud environment. Data Engineering on Azure reveals the architectural, operational, and data management techniques that power cloud-based data infrastructure built on the Microsoft Azure platform. Data Engineering on Azure teaches you to build a scalable and robust data platform to industry-leading standards. All examples are based on the production big data platform that powers Microsoft's customer growth operations. You'll learn techniques and best practices that author Vlad Riscutia and his team use on a daily basis, including automation and DevOps, running a reliable machine learning pipeline, and managing your data inventory. Examples are illustrated with Azure. The patterns and techniques are transferable to other cloud platforms. About the TechnologyBuild secure, stable data platforms that can scale to loads of any size. When a project moves from the lab into production, you need confidence that it can stand up to real-world challenges. This book teaches you to design and implement cloud-based data infrastructure that you can easily monitor, scale, and modify.
Published by Manning Publications Company, 2019
ISBN 10: 1617296414 ISBN 13: 9781617296413
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 325.
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Published by Manning Publications, New York, 2022
ISBN 10: 1617298921 ISBN 13: 9781617298929
Language: English
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
Paperback. Condition: new. Paperback. There's a big gap between running machine learning and data processes as prototypes, and deploying them to a production cloud environment. Data Engineering on Azure reveals the architectural, operational, and data management techniques that power cloud-based data infrastructure built on the Microsoft Azure platform. Data Engineering on Azure teaches you to build a scalable and robust data platform to industry-leading standards. All examples are based on the production big data platform that powers Microsoft's customer growth operations. You'll learn techniques and best practices that author Vlad Riscutia and his team use on a daily basis, including automation and DevOps, running a reliable machine learning pipeline, and managing your data inventory. Examples are illustrated with Azure. The patterns and techniques are transferable to other cloud platforms. About the TechnologyBuild secure, stable data platforms that can scale to loads of any size. When a project moves from the lab into production, you need confidence that it can stand up to real-world challenges. This book teaches you to design and implement cloud-based data infrastructure that you can easily monitor, scale, and modify. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Manning Publications Company, 2019
ISBN 10: 1617296414 ISBN 13: 9781617296413
Language: English
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Published by Manning Publications Company, 2019
ISBN 10: 1617296414 ISBN 13: 9781617296413
Language: English
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ISBN 10: 1617298921 ISBN 13: 9781617298929
Language: English
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Language: English
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Published by Manning Publications, 2021
ISBN 10: 1617298921 ISBN 13: 9781617298929
Language: English
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