Designing a Modern Analytics Layer with Fabric SQL Databases

In this session, you’ll explore how Fabric SQL Databases provide a fast, SQL-first analytics layer in Microsoft Fabric by working with the IPL Dataset. Using real match and ball-by-ball data spanning multiple seasons, teams, and players, you’ll see how raw CSV files can be transformed into a structured, analytics-ready relational model inside Fabric—without managing infrastructure or Spark clusters.

We’ll walk through an end-to-end workflow: creating a Fabric SQL database, designing tables for matches and deliveries, loading multi-season IPL data, and running practical cricket analytics queries such as season-wise run rates, top batters across years, team performance trends, and death-over impact.

By the end of the hour, you’ll understand when and why to use Fabric SQL Databases as the analytical backbone for structured datasets and how this pattern scales naturally to enterprise BI and reporting scenarios.