Štěpán Rešl

Join me for a session on mastering orchestration within Microsoft Fabric. Discover best practices for scheduling and managing your data workflows. We will be talking about native schedulers for items like semantic models, dataflows, notebooks, etc, and why using only these can bring you into specific issues that can be handled more elegantly and efficiently. Explore how to effectively schedule components with multiple dependencies like pipelines and notebooks while addressing common challenges such as dependency control and parametrization. Learn why pipelines are great for managing complex workflows, offering superior control over dependencies and execution. Finally, dive into the power of Directed Acyclic Graphs (DAGs) in tools like Apache Airflow and see how they excel at orchestrating notebooks and why this is a crucial part of orchestration in the Microsoft Fabric ecosystem. Whether you’re building pipelines and notebooks or preparing complex reporting solutions with dependencies between semantic models or between Fabric items, this session will equip you with actionable strategies to achieve efficient and scalable orchestration in Microsoft Fabric.

Learn how to monitor a Power BI/Fabric tenant: combine Capacity Metrics, Log Analytics, and Scanner API, then automate data collection with Python. Identify costly DAX queries and capacity usage, and build your own monitoring report.

Dive into a crazy session where DOOM and Pokémon Yellow run inside Microsoft Fabric Notebooks. See retro games as data, explore Lakehouse tricks, and learn why plain Python often beats PySpark for real-world Fabric solutions.