Brief Table of Contents (Not Yet Final)
Chapter 1: Understanding the Role of an Analytics Engineer (available)
Chapter 2: Core Analytics Engineering: Data Architectures (available)
Chapter 3: Core Analytics Engineering: Data Modeling (available)
Chapter 4: Introduction to Microsoft Fabric (available)
Chapter 5: Data Ingestion and Data Access (available)
Chapter 6: Working with the Lakehouse in Microsoft Fabric (available)
Chapter 7: Working with the Warehouse in Microsoft Fabric (available)
Chapter 8: Working with the Real-Time Intelligence in Fabric (available)
Chapter 9: Microsoft Fabric Decision Guide: When to Choose What (available)
Chapter 10: Understanding Power BI Core Components (available)
Chapter 11: Design and Build Semantic Models (available)
Chapter 12: Enhance Semantic Models with DAX (unavailable)
Chapter 13: Optimize Enterprise-scale Semantic Models (unavailable)
Chapter 14: Going Above and Beyond with External Tools (unavailable)
Chapter 15: Implement security and governance (unavailable)
Chapter 16: Manage the Analytics Development Lifecycle (unavailable)
Part 5: Putting It All Together
Chapter 17: Semantic Link (unavailable)
Chapter 18: Create Your Dream Fabric Architecture (unavailable)
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