Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
Databricks added variable explorer to notebooks. It is beneficial when working on multiple cells and doesn't run them all. For example, we can see variables that were initiated but from deleted cells (as that variables are still in cluster memory).
Join a Regional User Group to connect with local Databricks users. Events will be happening in your city, and you wonโt want to miss the chance to attend and share knowledge.
If there isnโt a group near you, start one and help create a community that brings people together.