Building Medallion Architectures: Designing with Delta Lake and Spark
Author: Piethein Strengholt
Publisher finelybook 出版社: O’Reilly Media
Edition 版本: 1st edition
Publication Date 出版日期: 2025-05-06
Language 语言: English
Print Length 页数: 394 pages
ISBN-10: 1098178831
ISBN-13: 9781098178833
Book Description
To deliver the insights that give them a competitive advantage, organizations increasingly turn to the proven Medallion architecture. Yet implementing a robust data architecture can be difficult, particularly when it comes to using the Medallion architecture’s Bronze, Silver, and Gold layers—done wrong, it can hamper your ability to make data-driven decisions. This practical guide helps you build a Medallion architecture the right way with Azure Databricks and Microsoft Fabric.
Drawing on hands-on experience from the field, Piethein Strengholt demystifies common assumptions and complex problems you’ll face when embarking on a new data architecture. Architects and engineers of all stripes will find answers to the most typical questions along with insights from real organizations about what’s worked, what hasn’t, and why.
You’ll learn:
- Learn how to build a Medallion architecture with Azure Databricks and Microsoft Fabric
- Gain insights from three real case studies that illustrate practical field experience and lessons learned
- Explore scaling considerations, including governance, security, generative AI, and more
- Make informed decisions when designing or implementing new data architectures
- Get proven patterns for success that align with broader organizational objectives
About the Author
下载地址
相关推荐
Deep Learning in Modern C++: End-to-end development and implementation of deep learning algorithms
Practical Serverless and Microservices with C#: Build resilient and secure microservices with the .NET stack and embrace serverless development in Azure
Learn C# with Visual Studio 2022: Comprehensive guide to C# fundamentals, Core .NET concepts, advanced features, and building with Visual Studio 2022
Real-World Applications of Artificial Intelligence and Machine Learning in Power Systems: A Code Approach
Data Mining and Business Intelligence: Data-driven strategy for business transformation
Red Teaming AI: Attacking & Defending Intelligent Systems
评论 抢沙发
觉得文章有用就打赏一下
您的打赏,我们将继续给力更多优质内容
支付宝扫一扫

微信扫一扫
