Data Days: The Data Engineering with Spark Series

3:00 p. m. - 4:00 p. m. (UTC)

Ready to take your Fabric Spark workloads from idea to production? Join two members of the Microsoft product team as they walk through how to orchestrate Spark in Microsoft Fabric using proven, real-world best practices. This is your chance to learn directly from the people who build the product and see how these capabilities are designed to scale. You’ll explore how to scale efficiently, improve price performance with native execution, and secure workloads with enterprise-grade features. Walk away with a production-ready playbook, actionable steps, and AI-powered tools to confidently orchestrate Spark in Microsoft Fabric.

11:00 p. m. - 12:00 a. m. (UTC)

Fabric Runtime 2.0 is a major leap forward for running Spark at scale in Microsoft Fabric. Join members of the Microsoft product team for a deep dive into what’s new and what it means for you. You will get a clear look at the biggest innovations in Spark 4 and Delta 4, along with the Microsoft enhancements that drive better performance, reliability, and developer productivity. This is your chance to learn directly from the people building the platform and understand how to take advantage of these changes in real-world workloads.

3:00 p. m. - 4:00 p. m. (UTC)

Join a Microsoft’s very own Data Engineering team member on the SQL Server team on how their team uses Microsoft Fabric with Copilot CLI, VSCode Devcontainers, dbt (Data Build Tool) and more to remove coding barriers, automating repetitive tasks, have robust dev/test automation and enable platform engineers to focus on optimizing data stacks and architectures to unlock faster insights and greater value from data. P.S. Ralph Wiggum from the Simpson’s TV show may also make a surprise appearance

6:00 p. m. - 7:00 p. m. (UTC)

Planning doesn’t need to live across five different tools anymore. Join us to explore the new Planning capabilities in Microsoft Fabric, straight from the product managers who built them. See how teams can model, forecast, and collaborate directly on top of their data. We’ll show how bringing planning closer to your data and AI simplifies workflows, removes unnecessary data movement, and helps teams respond faster with more confidence. 🔗 This event is part of a series: https://aka.ms/DataDayslive/spark