Data Engineering on Azure

Riscutia, Vlad

  • 出版商: Manning
  • 出版日期: 2021-08-17
  • 售價: $1,650
  • 貴賓價: 9.5$1,568
  • 語言: 英文
  • 頁數: 336
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1617298921
  • ISBN-13: 9781617298929
  • 相關分類: Microsoft Azure
  • 立即出貨

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商品描述

Data Engineering on Azure teaches you to build a scalable and robust data platform to industry-leading standards.

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.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

作者簡介

Vlad Riscutia is a software architect at Microsoft.