In today’s fast-paced business environment, the success of data analytics projects hinges on delivering actionable insights quickly and at scale. Microsoft Fabric offers powerful capabilities to unify data engineering and analytics, but without clear collaboration workflows, teams risk delays, inefficiencies, and missed opportunities to drive business value. The lack of robust practices for versioning, quality control, and change management can significantly hinder a team’s ability to iterate rapidly and deliver impactful solutions.

This session focuses on enabling teams to maximize the business value of their data projects by adopting proven collaboration workflows tailored to Microsoft Fabric. We will explore practical strategies for integrating source control, CI/CD pipelines, quality control, change tracking, and versioning, all designed to enhance team productivity and accelerate delivery cycles.

To ground these concepts in real-world application, we’ll showcase a common medallion architecture example. This demonstration will guide you through all practical concerns for a data team, from workspace and source control setup to defining team roles and responsibilities. Learn how to handle daily tasks like making and committing changes, creating and reviewing pull requests, and running CI/CD pipelines. You’ll leave with actionable, step-by-step guidance rather than abstract theory.

Whether your organization is scaling analytics capabilities or seeking faster iteration cycles, this session provides the roadmap to align your team’s workflows with your business goals. Don’t miss this opportunity to learn how to turn Microsoft Fabric into a catalyst for delivering value at pace and scale.