Automating Star Schemas in Fabric DW

This session will explore how to streamline the process of building a Kimball star schema in a Fabric Data Warehouse using minimal code, leveraging Industry Standard T-SQL templates, metadata, and modern, declarative architectures. We will guide you through best practices for transforming raw data into a well-structured and optimized star schema, focusing on automation, efficiency, and simplicity.

Key topics covered include:
• Creating a Kimball BUS Matrix Template
• Designing a Data Virtualization Layer
• Implementing Dimension and Fact Loading Patterns
• Optimizing and Simplifying Orchestration
• Tuning Star Schema Loading for Performance
• Managing Data Lineage and Error Handling
• Handling Early Arriving Facts
• Implementing Data Cleansing and Quality Checks
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This session is ideal for those looking to accelerate Data Warehouse development and achieve scalable, maintainable solutions with minimal manual coding.

- Star Schema Concepts - Optimum TSQL for loading Star Schemas in Fabric - Metadata concepts and implementation