Taming Parent-Child-Hierarchies in Power BI

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Instructor
Markus Ehrenmueller-Jensen
April 09, 2026 (Thursday)
10:00 AM PDT | 01:00 PM EDT
Duration: 60 Minutes
Webinar Id: 70260
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Overview:

Parent-child hierarchies are common in real-world data models - organizational structures, account rollups, product categories, territory management, and more. However, these recursive structures rarely fit neatly into traditional star schema designs. Without careful modeling, they can create challenges with aggregation, filtering, row-level security, and user navigation.

This session demystifies how parent-child hierarchies work in Power BI and why they require special handling. We’ll explore modeling strategies, DAX techniques, and visualization approaches that allow you to manage ragged hierarchies while maintaining performance and clarity.

Through practical examples, you’ll learn how to flatten hierarchies when appropriate, dynamically generate levels, manage path functions, and ensure totals remain accurate. By the end, you’ll have the confidence to design hierarchical models that are both flexible and robust.

Why you should Attend:

Struggling with ragged hierarchies, broken drill paths, or security rules that don’t behave as expected? Parent-child hierarchies can quietly introduce incorrect totals, confusing visuals, and performance headaches in Microsoft Power BI. In “Taming Parent-Child Hierarchies in Power BI”, you’ll learn how to avoid the common traps that derail org charts, chart of accounts, and recursive structures - before they compromise the trust in your reports.

Areas Covered in the Session:

  • What makes parent-child hierarchies different from standard hierarchies
  • Common use cases: org charts, chart of accounts, territory structures
  • Challenges with ragged hierarchies and blank members
  • Modeling strategies within a star schema
  • Using PATH, PATHITEM, and related DAX functions
  • Flattening hierarchies into level-based structures
  • Managing correct aggregations and totals
  • Best practices for maintainable and scalable hierarchical models in Microsoft Power BI

Who Will Benefit:

  • People who (start to) work with Power BI

Speaker Profile

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.