Ready to take your Fabric automation game to the next level? In this session, we go beyond the basics and deep-dive into CI/CD pipelines, Git integration, and collaborative ways of working tailored for Microsoft Fabric projects.

We’ll explore how to structure your repositories for clarity and scale, automate workspace and branch setup, and implement a flexible branching strategy that supports selective feature releases. Learn how to streamline collaboration across teams while avoiding common pitfalls like broken item references.

You’ll get hands-on with Fabric CLI (Command Line Interface) and the powerful fabric-cicd Python library, seeing how to build robust deployment pipelines with Azure DevOps and GitHub Actions. The session is packed with real-world demos, covering everything from automated feature setup and approval flows to releasing across multiple environments – handling environment-specific dependencies in notebooks, data pipelines, and semantic models.

By the end, you’ll walk away with a toolkit of tips, sample scripts, and ready-to-use templates that you can apply immediately to your Fabric projects. Whether you’re working solo or as part of a larger team, this session will help you scale your workflows, enforce quality, and accelerate delivery with confidence.

Experience level – level 300

As Microsoft Copilot rolls out across all Fabric SKUs, organizations have an unprecedented opportunity to scale AI-driven insights to every user. However, the success of tools like Copilot depends entirely on how well your semantic model is structured. In this session, we will explore the essential elements of optimizing semantic models for enterprise-grade AI experiences.

Topics will include best practices for building a clean star schema, defining intuitive relationships, creating well-structured DAX measures, and using clear metadata to guide natural language interpretation. We will also cover strategies for implementing meaningful hierarchies, standardizing data values, labeling KPIs, and ensuring secure access through role-level security.

Attendees will walk away with practical guidance on how to prepare their models so Copilot can deliver accurate, contextual, and business-relevant responses. Whether your organization is just beginning its Copilot journey or aiming to improve AI outcomes, this session will help you build the kind of robust semantic model that enables AI success across the enterprise.

Experience level – level 300

In this session, we’ll explore how OneLake security transforms data governance through a unified, bottom-up security approach. Learn how this solution addresses previous limitations and provides consistent security across your entire data estate.

Agenda:
• Historical challenges with Fabric security implementation
• Limitations of previous security models
• Introduction to OneLake security architecture
• How OneLake security resolves inherited vs. overwritten permissions
• Administrative benefits and simplified governance
• Business value across organizations of all sizes

Prior to OneLake security, Microsoft Fabric users faced significant challenges implementing consistent Row-Level Security (RLS) and Object-Level Security (OLS) across their data estates. Despite Fabric’s promise to unify the data analytics experience, security remained siloed between different Fabric components, creating confusion about inheritance patterns and best practices throughout the data lineage.

OneLake security addresses these challenges by implementing a logical, unified security model compatible with all Fabric engines. As a single hierarchical file storage system, OneLake eliminates data duplication and establishes a true bottom-up security approach where permissions configured at the data lake level cascade through the entire system to the end user.

This session demonstrates how organizations can now centrally configure and manage RLS and OLS on structured data at the foundation level, with all Fabric items inheriting these rules consistently. We’ll examine the practical implementation of this model, explore real-world benefits, and demonstrate how OneLake security delivers value for organizations of all sizes by simplifying administration while strengthening data governance.

Experience level – level 200