We’ll unpack how each tool handles fuzzy logic, where they converge, and where they don’t. We’ll also explore scaling options, so that you can see ways to make this work beyond your PoC. Spoiler: the most powerful path forward might not be the one you’re expecting.

Learn how metadata-driven pipeline can use a single pipeline design to handle many different datasets, with a simple example using Microsoft Fabric Pipelines.

Discover how a modern data platform combines multiple components to streamline data management, improve reporting, enable AI insights, and ensure governance—helping business leaders make smarter, data-driven decisions.

In this session, we’ll explore how to enrich local data with enterprise Power BI semantic models, giving self-service Power BI developers the best of both worlds—a hybrid solution that combines flexibility with governance.

Are you seeking to bridge the gap between static analysis and dynamic action? This session will guide you through practical strategies for building AI-ready data, enabling agile decision-making, and fostering self-service analytics within your Microsoft ecosystem.

Understand how a direct lake mode can use a refresh to control when data is updated. To understand how this works, we will first need to understand parquet, delta, and refresh processes.

Join Alex Powers from Microsoft as he guides you through Dataflow Gen2 with CI/CD support.

It all begins with an idea.

It all begins with an idea.

It all begins with an idea.

It all begins with an idea.