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  1. Preface
  2. Introduction to Databricks Connector
  3. Connections for Databricks
  4. Mappings for Databricks
  5. Migrating a mapping
  6. SQL ELT with Databricks Connector
  7. Data type reference
  8. Troubleshooting

Databricks Connector

Databricks Connector

Create a mapping in SQL ELT mode

Create a mapping in SQL ELT mode

In a mapping in SQL ELT mode, you don't have to specify an optimization type. Data Integration pushes the transformation logic by default to the target database.
You can run a mapping in SQL ELT mode to load data from the following data sources to Databricks:
  • Amazon S3
  • Databricks
  • Google Cloud Storage
  • Microsoft Azure Data Lake Storage Gen2
  1. To create a mapping in SQL ELT mode, you create a mapping and select
    Mapping - SQL ELT
    as the mapping type.
  2. Select the cloud ecosystem where you want all the mapping logic to be processed.
  3. You're then prompted to select the target connection.
    The mapping is automatically configured with the target connection you chose.
    You can add additional transformations to the mapping. The transformations available in the transformation palette are transformations that the target endpoint can process. You can also preview data for individual transformations to validate the mapping logic.
For more information on mappings in SQL ELT mode, see Mappings in SQL ELT mode for Databricks.

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