An ETL tool helps in extracting, transforming, and loading data from one source to another. The Azure ETL tool empowers you to use different operations, such as parse, join, filter, and pivot rank, to transform data into Azure Synapse. Data travels from one source to another or is stored somewhere for a short term in Azure Databricks. ETL operations mainly include data extraction, transformation, and loading (ETL). In Azure Databricks, the following ETL operations are performed on data: The data is transformed to the data warehouse from Databricks.  The data is loaded using Azure Blob Storage.  The data is temporarily stored in Azure Blob Storage.