Is your Dataverse app moving like it is stuck in wet cement? Many makers blame the platform or network, but the real culprit is often hidden deep within your table schema and relationship design. In this video, we explore why raw data size is rarely the problem and how your architectural choices impact real-world responsiveness.

We start by uncovering the hidden traps in table design, including why bloated tables with too many fields create a mounting performance penalty. You will learn the delicate balance between database normalization and the processing cost of excessive joins. We also dive into relationship design, explaining how many-to-many links and cascading behaviors can turn into major bottlenecks as your environment grows.

A significant portion of the video is dedicated to indexing, the quiet performance multiplier. Discover how to identify which columns deserve a dedicated index and how a smart indexing strategy can reduce query times from seconds to milliseconds. Finally, we discuss shifting from reactive firefighting to proactive architecture, ensuring your apps are built for long-term sustainability and predictability.

By the end of this guide, you will have a clear roadmap for auditing your current models and stripping away the friction that holds your Power Platform solutions back.

Chapters
0:00 Why Dataverse Apps Slow Down
2:15 Hidden Performance Traps in Your Tables
5:45 When Relationships Turn into Roadblocks
9:10 Indexing: The Quiet Performance Multiplier
12:40 From Reactive Fixes to Proactive Architecture
15:15 Summary and Final Takeaways

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