Microsoft Reactor Middle East & Africa

The fourth session in the FabCon and SQLCon recap series will cover Power BI, everyone's favorite tool to turn insights into actions and deliver enterprise analytics at scale in Fabric. In this session discover why businesses standardize on Power BI, learn about building a data-driven culture, and get a first look at upcoming features that unlock your data's potential.

In a world of multiple tools and endless data sources, how do you design the right integration strategy in Microsoft Fabric?

Join us for a live demo-driven session that breaks down the real-world patterns, use cases, and best practices for landing, transforming, and orchestrating data in Microsoft Fabric.

Whether you're working with a Lakehouse, Data Warehouse, Eventhouse, or SQL Database, this session gives you the playbook to select and combine the right tools for the job.

We'll walk through:

• Landing data using Data Pipelines, OneLake shortcuts, and external connections
• Transforming and cleaning data using Notebooks (Spark) for scale and flexibility
• Business logic and last-mile transformation using Dataflows Gen2
• How to orchestrate it all using Fabric Data Pipelines for repeatable, maintainable workflows
• When and why to land your data into Lakehouses, Data Warehouses, Eventhouses, or SQL endpoints

You'll walk away with:

• A clear understanding of which tools to use when across the Fabric integration stack
• A working knowledge of how to combine multiple integration techniques in one solution
• Architecture patterns and decision criteria for building scalable data landing zones

Live demos you can replicate to accelerate your own Fabric journey

GitHub Agentic Workflows let your repo improve itself. With a simple markdown file and one command, GitHub Actions launches an AI agent to triage issues, fix CI failures, update docs, and improve tests—no complex YAML required.

See a live demo from minimal workflow file to a safe, sandboxed pipeline that delivers a ready‑to‑review PR. Your repo on autopilot, with you in control.

As organizations modernize their analytics platforms, migrating existing Azure Data Factory (ADF) workloads to Microsoft Fabric has become a critical step toward simplifying data integration and unlocking AI‑powered analytics at scale. In this session, you’ll learn how to move from Azure Data Factory to Fabric Data Factory with confidence.

We’ll walk through migration strategies, tooling, and best practices—showing how to assess your current pipelines, understand compatibility considerations, and plan a phased transition that minimizes risk while maximizing value.

You’ll leave with a clear view of how Fabric unifies data integration, engineering, and analytics in a single SaaS platform, and how migration is more than a lift‑and‑shift—it’s an opportunity to standardize patterns, improve governance, and accelerate insights across your organization.