Your SQL and DAX skills are the perfect foundation for stepping into Microsoft Fabric and data engineering. Fabric Notebooks are your gateway—combining a familiar data mindset with Python, Spark, and the Lakehouse to unlock powerful new capabilities. Discover how your existing BI expertise translates naturally into the data engineering world without starting from scratch.

What you'll master:
- Master Fabric Notebooks confidently understanding the interface, Lakehouse architecture, and Spark execution model—your first hands-on step into data engineering
- Translate SQL and DAX knowledge to Python using side-by-side syntax comparisons that make the transition feel natural
- Build Lakehouse data pipelines combining Bronze, Silver, and Gold layers with Notebooks for scalable data transformation
- Query semantic models programmatically with SemPy to automate DAX evaluation, model analysis, and data profiling across millions of rows
- Automate repetitive BI and engineering tasks using Python scripts for documentation, testing, data quality checks, and model validation

Take your first confident step from BI into data engineering—your next career leap starts with the skills you already have.

- Target Audience: Power BI developers expanding into Fabric and data engineering, BI analysts ready to add Python to their toolkit
- Format: 45-minute talk or full-day hands-on workshop
- Takeaways: SQL-to-Python cheat sheet, SemPy starter notebooks, Lakehouse pipeline templates, data profiling scripts
- Prerequisites: Intermediate Power BI development experience, basic SQL knowledge
- Level: Intermediate
- Topics Covered: Microsoft Fabric, Fabric Notebooks, Python, PySpark, SemPy, Lakehouse, Data Engineering fundamentals