Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
The Amazon Redshift data source in Databricks seems to be using S3 for storing intermediate results. Are there any ways to automatically cleanup temporary files created in S3
You could use storage lifecycle policy for the s3 bucket used for storing intermediate results and configure expiration actions. This way temporary/intermediate results would be automatically cleaned up
You could use storage lifecycle policy for the s3 bucket used for storing intermediate results and configure expiration actions. This way temporary/intermediate results would be automatically cleaned up
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.
