From Metadata to Momentum: Accelerating Self-Service Analytics with Microsoft Fabric and Purview

Modern analytics platforms like Microsoft Fabric provide business users and analysts with powerful tools to query, model, and visualise data. However, without clear governance, self-service analytics can be confusing, slow, or risky — users may struggle to find the right datasets, understand their meaning, or trust their quality.

In this session, we explore how Microsoft Purview enables confident, governed self-service analytics on top of Microsoft Fabric and Azure SQL Database. Using Purview’s metadata, lineage, and business context features, we demonstrate how organizations can turn raw technical assets into discoverable, trusted, and reusable Data Products.

Attendees will see how to:

Map technical assets like Fabric Lakehouses, Warehouses, and Azure SQL tables to business-friendly concepts

Establish ownership, certification, and intended use through Purview Data Products

Use metadata and lineage to guide analysts and data scientists to the right datasets

We’ll also highlight how self-service analytics becomes a scalable, repeatable process, enabling teams to innovate faster, reduce duplication, and trust their data without accessing Purview itself - because Purview governs metadata, not the data.

By the end of this session, attendees will understand how to combine Fabric and Purview to accelerate analytics adoption, ensure data trust, and deliver business-aligned insights confidently.

How to turn Fabric and Azure SQL data assets into discoverable, trusted Data Products using Microsoft Purview How metadata, lineage, and business context enable confident self-service analytics without Purview holding the data Practical understanding of governed, scalable analytics practices that accelerate insight delivery and improve data trust across the organization