Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
@Danilo Mendes , Table schema is stored in the default Azure Databricks internal metastore and you can also configure and use external metastores. Ingest data into Azure Databricks. Access data in Apache Spark formats and from external data sources. Use Apache Spark APIs to work with data.
@Danilo Mendes , You can cache, filter, and perform any operations supported by Apache Spark DataFrames on Databricks tables. You can query tables with Spark APIs and Spark SQL.
@Danilo Mendes , Table schema is stored in the default Azure Databricks internal metastore and you can also configure and use external metastores. Ingest data into Azure Databricks. Access data in Apache Spark formats and from external data sources. Use Apache Spark APIs to work with data.
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 won’t want to miss the chance to attend and share knowledge.
If there isn’t a group near you, start one and help create a community that brings people together.
