Unlimited Viewing Recorded Version for 6 months ( Access information will be emailed 24 hours after the completion of live webinar)
Toll free: 1-800-385-1607
Mailto: support@euwebinars.com
Overview:
Are your Power BI reports slowing down as your data grows? Are measures becoming harder to maintain, numbers harder to reconcile, and refresh times harder to explain? If you’re still relying on a single, wide “one big table” model, you may be carrying hidden technical debt that impacts performance, scalability, and trust in your analytics.
In this session, we’ll break down why the one-big-table approach feels simple at first-but quickly becomes fragile and inefficient. You’ll learn how dimensional modeling principles translate into practical data modeling techniques inside Microsoft Power BI, and why a star schema is the foundation for fast, flexible, and reliable reporting.
Through clear examples and step-by-step refactoring, we’ll transform a flat model into a well-structured star schema. Along the way, we’ll explore relationships, fact vs. dimension design, and how proper modeling dramatically improves DAX simplicity and report performance.
Whether you're a report developer, data analyst, or BI professional, this session will give you the clarity and confidence to move from bloated tables to clean, scalable models that your future self-and your stakeholders-will thank you for.
Why you should Attend:
Still building reports on one massive, messy table in Power BI? In a world where data complexity keeps growing, clinging to a single flat model does work well in Excel but is a recipe for slow performance, confusing metrics, and costly mistakes in Power BI. Join “From One Big Table to Star Schema in Power BI” to eliminate the fear, uncertainty, and doubt around data modeling-learn how a proper star schema in Microsoft Power BI can transform bloated datasets into fast, scalable, and trustworthy analytics.
Areas Covered in the Session:
Who Will Benefit:
Markus Ehrenmueller-Jensen is the founder of Savory Data, with a career spanning project leadership, data engineering, and business intelligence architecture since 1994. He holds degrees in software engineering and business education and serves as a professor of databases and project engineering at HTL Leonding, a technical college. He is also certified in PL-300 (Power BI Data Analyst), DP-203 (Azure Data Engineer Associate Certification), DP-600 (Fabric Analytics Engineer Associate), and DP-700 (Fabric Data Engineer Associate).
Markus actively contributes to the global data community, speaking regularly at international conferences such as SQL Bits in London, Power BI Next Step in Copenhagen, Data Saturdays throughout Europe, and SQL Days. He co-founded SQL PASS Austria in 2013 and the Power Platform User Group Austria in 2016; both organizations merged in 2021 to form Data Community Austria. Since 2014, he has organized Data Community Austria Day in Vienna, fostering knowledge sharing among data professionals. In recognition of his technical leadership and community involvement, Markus has been honored as a Microsoft Data Platform Most Valuable Professional (MVP) since 2017.
In addition to his speaking engagements, Markus contributes articles to reputable journals and has authored the book "Data Modeling with Microsoft Power BI," published in June 2024.