Build Your AI Foundation with Fabric Metadata-driven Framework

Efficient data management is essential for modern organizations, and automation is the cornerstone of scalability and AI readiness. In this hands-on session, you’ll learn how to build a robust metadata-driven framework using Microsoft Fabric SQL Database and Data Factory pipelines to streamline data integration and accelerate analytics.

We’ll explore control tables, automation strategies, data integrity checks, and auditing mechanisms that reduce repetitive tasks and simplify pipeline development. Through live demos, you’ll gain practical experience configuring the Fabric Metadata-Driven Framework (FMD), applying best practices and optimizing performance for enterprise-scale workloads.

Finally, discover how this framework powers AI-ready environments, enabling governance, scalability, and continuous delivery. Whether you’re tired of rebuilding pipelines or aiming to boost efficiency, this session equips you with actionable tools and insights to transform your data engineering workflows, from automation fundamentals to building a foundation for AI-driven analytics.

Design a Metadata-Driven Framework Build an AI-Ready Data Foundation Implement a metadata‑driven ingestion pattern