Connect with fellow community members to discuss general topics related to the Databricks platform, industry trends, and best practices. Share experiences, ask questions, and foster collaboration within the community.
@SamAWS - when you want to query the underlying data in the dataframe by creating a view or table, Spark SQL is preferred. Same can be achieved using pyspark by retaining them as a dataframe. Spark SQL is used by wider audience and easy to develop.
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.
