دانلود کتاب ایجاد معماری مدالیون

This book is a practical guide for understanding and implementing one or multiple Medallion architectures. It’s also a reference guide for those who are already familiar with the concept and want to deepen their understanding. The book dives into the Azure technology stack to explore how to implement a real Medallion architecture. We’ll look at services like Microsoft Fabric, but not for promotional purposes or to compare them directly with other services. The main goal is to deepen your understanding of Medallion architecture and demonstrate its practical applications. As technology evolves rapidly, I’ve chosen to focus on wellestablished services and features that are less likely to undergo significant changes soon. For instance, tools like Apache Airflow, (Azure) Data Factory, PySpark, and methods driven by metadata are robust and adaptable to various settings. The skills you develop here using Microsoft Fabric will also equip you to work effectively with other Spark- and Delta Lake-based platforms. The book is divided into four parts, moving from theory to practice: In Part I, “Understanding the Medallion Framework”, we begin with an introduction to the evolution of data architecture. We’ll start by looking at both the historical and current best practices to understand how data architecture has evolved. Recognizing the relevance of old concepts and seeing their transformation is crucial for grasping today’s data complexities. Next, we’ll dive deep into Medallion architecture, breaking down its core concepts and implementation stages. In Part II, “Crafting the Medallion Layers”, we transition to a more hands-on approach. Here, you’ll be guided through the complete process of building a Medallion architecture using Microsoft Fabric. For readers interested in using Azure Databricks instead, an external blog post provides complementary content that offers an alternative learning path. This part of the book is filled with a range of material, from fundamental concepts to sophisticated strategies, all presented in a vendor-neutral manner. This ensures that you can apply these insights across any lakehouse architecture effectively. Moving to Part III, “Real-World Case Studies”, we’ll bridge the gap between theory and practice by featuring interviews with professionals who have successfully implemented Medallion architectures in their organizations. We’ll explore how AP Pension, Amadeus, and ZEISS have leveraged Medallion architecture to enhance their data handling and analytics capabilities. In Part IV, “Scaling, Governance, and the Future of Medallion Architectures”, we’ll wrap up the book by discussing how to scale Medallion architectures for larger enterprises and delve into advanced topics like data mesh and data contracts. Furthermore, we’ll explore the future of Medallion architecture by examining generative artificial intelligence.