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Azure Data Engineering: running data infrastructure on Azure

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Azure Data Engineering 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.

Learn more about the book here: http://mng.bz/ZrXa

Veröffentlicht in: Software
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Azure Data Engineering: running data infrastructure on Azure

  1. 1. Learn to run data infrastructure on Azure with Azure Data Engineering. Take 40% off by entering slriscutia2 into the discout code box at checkout at manning.com.
  2. 2. There’s a big gap between running machine learning and data processes as prototypes, and deploying them to a production cloud environment. Robust data engineering practices are essential to ensuring that your carefully designed data tools have what it takes to work in the real world.
  3. 3. Azure Data Engineering reveals the architectural, operational, and data management techniques that power cloud-based data infrastructure built on the Microsoft Azure platform. You'll learn to bring an engineering rigor to your data platform, ensuring that your theoretical data tools function just as well under the pressures of production.
  4. 4. Azure Data Engineering teaches you to build a scalable and robust data platform to industry-leading standards. All examples are based on a real production big data platform. Additionally, the patterns and techniques learned in this book are transferable to other cloud platforms!
  5. 5. What people are saying about the book: A book that sucks you in at the start and doesn't want you to put it down until it has imparted all the knowledge you need to understand the topic. -Richard Vaughan If you are looking for a unified approach to integrate multiple/large heterogeneous data sources, you will find it in the book. -Glenn Leo Swonk
  6. 6. About the author: Vlad Riscutia is a software architect at Microsoft.
  7. 7. Take 40% off Azure Data Engineering by entering slriscutia2 into the discout code box at checkout at manning.com. If you want to learn more about the book, check it out on our browser-based liveBook platform here.

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