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Data Engineeringon Azure
Af: Vlad Riscutia Engelsk Paperback
SPAR
kr 133
Data Engineeringon Azure
Af: Vlad Riscutia Engelsk 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 Technology
Build 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.

 

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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 Technology
Build 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.

 

Produktdetaljer
Sprog: Engelsk
Sider: 322
ISBN-13: 9781617298929
Indbinding: Paperback
Udgave:
ISBN-10: 1617298921
Kategori: Machine learning
Udg. Dato: 21 jan 2022
Længde: 24mm
Bredde: 187mm
Højde: 234mm
Oplagsdato: 21 jan 2022
Forfatter(e): Vlad Riscutia
Forfatter(e) Vlad Riscutia


Kategori Machine learning


Sprog Engelsk


Indbinding Paperback


Sider 322


Udgave


Længde 24mm


Bredde 187mm


Højde 234mm

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