• Anno 2026 we are seeing a continued shift in how data engineers build on modern data platforms: AI is no longer just assisting with snippets of code, it is becoming an active collaborator in how Spark jobs, lakehouses, and data pipelines are designed, implemented, and operated. At Data Point Prague, you’ll learn which of the high value innovations from FabCon Atlanta will empower you to gain the most out of Microsoft Fabric and Spark, with a special hands-on focus for data engineers.
• We will walk through how developer workflows are changing as Microsoft Fabric embraces more agentic experiences. You’ll see how Visual Studio Code is emerging as a preferred workspace for Fabric data engineering — bringing notebooks, Spark job definitions, environments, and lakehouse artifacts directly into the developer experience. From there, the session explores how GitHub Copilot is evolving beyond code completion, helping engineers scaffold medallion architectures, generate and refactor Spark code, and automate repeatable engineering tasks.
• The showstopper is Fabric Skills (Agent Skills for Fabric) — how they give AI agents real Fabric context, Spark best practices, and safe execution boundaries so agents can work with your data platform, not just talk about it. This is a developer-focused look at what’s new, what’s changing, and how Spark data engineers can start adapting their workflows today.

Whether you’re just getting started with version control or looking to scale automated deployments in Power BI and Microsoft Fabric, this full-day workshop will equip you with the skills and mindset to implement a professional CI/CD pipeline in your data platform projects.

Workshop agenda

• Part 1: CI/CD for Power BI with GitHub — go from zero to a fully functional CI/CD setup. Covers Power BI project files (.PBIP) for version control, repository and branching strategies, collaborative workflows including merge conflicts and version rollbacks, and quality checks using Best Practice Analyzer and other governance tools.
• Part 2: CI/CD for Microsoft Fabric — configure source control for Fabric workspaces, explore the Fabric CI/CD experience and Fabric CLI for scripted deployments, and implement automated testing, approvals, and post-deployment housekeeping to support enterprise-level workflows.

Expect a balanced mix of hands-on labs, real-world scenarios, and strategic insights to help you scale your data development processes with confidence.

Who should attend

Power BI and Fabric developers, BI architects, and data platform engineers interested in:

• Adopting version control in their data workflows.
• Setting up CI/CD pipelines from scratch.
• Moving toward enterprise-grade automation in Fabric.

Prerequisites

No prior CI/CD experience is required — we start from the basics and gradually dive into advanced use cases.

Organizations are increasingly adopting lakehouse architectures to unify analytics and machine learning workloads. However, many implementations suffer from poor foundational decisions that become costly to remediate later. This full-day, hands-on workshop provides practical guidance for architecting, deploying, and operationalizing a robust lakehouse on Microsoft Fabric—ensuring scalability, security, and maintainability from day one.

Workshop agenda

• Architectural planning — define business requirements, design governance and security models, select data storage strategies, and plan for scalability, performance, and cost optimization. The focus is on building blueprints and frameworks that prevent common pitfalls and support long-term success.
• Infrastructure as Code (IaC) with Terraform — create repeatable, version-controlled deployments. Participants will set up CI/CD pipelines, build reusable modules, and configure Fabric workspaces for Git integration to ensure traceability and collaboration.
• Implementation — deploy the lakehouse foundation, configure ingestion pipelines for batch and streaming workloads, apply cataloging and metadata management, and validate data quality and security controls. Covers Fabric’s variables, environments, and deployment rules—promoting changes safely from development to production with CI/CD.
• Ask Me Anything — interactive closing session where participants revisit core concepts, raise outstanding technical or strategic questions, and clarify how the lessons apply in their own environments.

Key takeaways

Attendees will leave with production-ready templates, architectural blueprints, and operational playbooks they can immediately apply within their organizations.

Prerequisites

Basic cloud and data engineering knowledge, with familiarity in IaC and CI/CD concepts. Terraform or Git experience is helpful but not required.

DAX is a simple language — but not easy at all. Its five pillars need to be clearly understood in order not to get confused when they, as inevitably happens, interact with each other in your measures, calculated columns, or calculated tables.

What you’ll learn

This session covers the five DAX pillars one by one, with examples, and then in interaction with each other — in increasing order of complexity:

• Filter context
• Row context
• Context transition
• Iterations
• Expanded tables