Summary
In this chapter, we delved into the intricate world of data modeling and managing relationships within Power BI. It provided a brief overview of and introduction to the pivotal role well-structured data modeling plays in ensuring clean and reliable data for informed decision-making.
We started by exploring/recapping the basics of dimension modeling in Power BI, bidirectional cross-filtering, understanding its power, identifying potential errors and bottlenecks, and adopting best practices to use it effectively. We also comprehensively covered the concept of cardinality with an emphasis on its impact on data cleanliness and performance.
Later, we learned how to make the right choices to create accurate and high-performing data models, with insights into challenges and best practices for optimizing performance and managing vast data. Lastly, we explored the complexities of avoiding circular references, gaining strategies and best practices to ensure data clarity.
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