Data Engineering on Azure (Azure 數據工程)

Riscutia, Vlad

Data Engineering on Azure

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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.

商品描述(中文翻譯)

《在 Azure 上的資料工程》教導您如何建立一個可擴展且堅固的資料平台，符合業界領先的標準。在運行機器學習和資料處理的原型與將其部署到生產環境之間存在著巨大的差距。《在 Azure 上的資料工程》揭示了在 Microsoft Azure 平台上構建基於雲端的資料基礎架構所使用的架構、運營和資料管理技術。《在 Azure 上的資料工程》教導您如何建立一個可擴展且堅固的資料平台，符合業界領先的標準。所有示例都基於支持 Microsoft 客戶增長運營的生產大數據平台。您將學習到作者 Vlad Riscutia 及其團隊每天使用的技術和最佳實踐，包括自動化和 DevOps、運行可靠的機器學習流程以及管理您的資料庫存。示例以 Azure 為例進行說明，而這些模式和技術也可以適用於其他雲端平台。購買印刷版書籍將包含 Manning Publications 提供的 PDF、Kindle 和 ePub 格式的免費電子書。

作者簡介

Vlad Riscutia is a software architect at Microsoft.

作者簡介(中文翻譯)

Vlad Riscutia 是微軟的軟體架構師。

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