Data Engineeringon Azure

Data Engineering on Azure teaches architectural, operational, and data management techniques to build scalable and robust data platforms to industry-leading standards. It illustrates examples with Azure and is transferable to other cloud platforms.

Format: Paperback / softback
Length: 322 pages
Publication date: 14 January 2022
Publisher: Manning Publications

There exists a significant disparity between the processes of developing machine learning prototypes and deploying them to a production cloud environment. To bridge this gap, Data Engineering on Azure provides comprehensive insights into architectural, operational, and data management techniques that underpin cloud-based data infrastructure built on the Microsoft Azure platform. By delving into this book, readers will acquire the skills necessary to construct a scalable and resilient data platform that adheres to industry-leading standards. The examples provided are based on the robust big data platform that powers Microsoft's customer growth operations, offering practical techniques and best practices employed by the author and his team on a daily basis. These encompass areas such as automation and DevOps, the establishment of a reliable machine learning pipeline, and effective management of data inventories. The book is enriched with Azure illustrations, demonstrating the transferability of the patterns and techniques to other cloud platforms. With its focus on building secure, stable data platforms capable of scaling to meet the demands of any size load, Data Engineering on Azure equips readers with the knowledge and tools required to design and implement cloud-based data infrastructure that can be easily monitored, scaled, and modified. Whether you are a data engineer, architect, or IT professional seeking to enhance your cloud infrastructure capabilities, this book serves as a valuable resource for achieving success in the realm of data engineering.

Weight: 614g
Dimension: 187 x 234 x 24 (mm)
ISBN-13: 9781617298929