Databricks Community

This post is the second part of a two-part series on optimizing Databricks AI/BI dashboard performance at scale.  In the previous post, we focused how layout, filters, parameters, and caching determine how much work the system does for every click. T...

Dashboard performance issues rarely come from a single place. They’re usually the combined effect of dashboard design, warehouse concurrency and caching and data layout in your lakehouse. If you optimize only one layer—SQL, or compute sizing, or tabl...