Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
setting the parameter โspark.cleaner.ttlโ or by dividing the long running jobs into different batches and writing the intermediary results to the disk.
setting the parameter โspark.cleaner.ttlโ or by dividing the long running jobs into different batches and writing the intermediary results to the disk.
Connect with Databricks Users in Your Area
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.
