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.

N� de ref. del art�culo LU-9781617298929

Contactar al vendedor

Denunciar este art�culo

Detalles bibliogr�ficos

T�tulo: Data Engineeringon Azure
Editor: Manning Publications, US
Fecha de publicaci�n: 2022
Idioma: Ingl�s
ISBN 10: 1617298921
ISBN 13: 9781617298929
Encuadernaci�n: Paperback
Estado: New
Peso: 620 gramos

Acerca de

Sinopsis

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.

Acerca del autor

Vlad Riscutia is a software architect and data engineer at Microsoft on the Customer Growth and Analytics team.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

Ver la p�gina web de la librer�a

Informaci�n empresarial del vendedor

Rarewaves USA
10100 West Sample Road, Ste 101, Coral Springs, FL, 33065, U.S.A.

Condiciones de venta y env�o

Condiciones de venta

Derecho a cancelaci�n

Condiciones de env�o

Please note that we do not offer Priority shipping to any country.

We currently do not ship to the below countries:

Afghanistan
Bhutan
Brazil
Brunei Darussalam
Channel Islands
Chile
Israel
Lao
Mexico
Russian Federation
Saudi Arabia
South Africa
Yemen

Please do not attempt to place orders with any of these countries as a ship to address - they will be cancelled.

Tarifas de env�o en Estados Unidos de America

Tarifas de env�o en Estados Unidos de America
Cantidad del pedido	De 13 a 16 d�as h�biles	De 13 a 14 d�as h�biles
Primer art�culo	EUR 0.00	EUR 0.00

Los plazos de entrega los establecen los vendedores y var�an seg�n el transportista y la ubicaci�n. Los pedidos que pasan por la aduana pueden sufrir retrasos y los compradores son responsables de los aranceles o tarifas asociadas. Los vendedores pueden ponerse en contacto con usted en relaci�n con cargos adicionales para cubrir cualquier aumento en los costes de env�o de los art�culos.