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title: Create a Databricks Ingest Data Stream
collection: developer
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locale: en-us
portal_url: https://docs.salesforce.com/developer/current/en-us/data-cloud/data-cloud-int/guides/databricks/c360-a-create-databricks-data-stream.md
canonical_url: https://developer.salesforce.com/docs/data/data-cloud-int/guide/c360-a-create-databricks-data-stream.html
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  - Data 360 Integration Guide
  - Data 360 Developer Documentation
---
# Create a Databricks Ingest Data Stream

Start the flow of data by creating a data stream for your Databricks data source. The data stream creates a data lake object (DLO) in Data 360 that you can map to the Customer 360 Data Model to use across Data 360.

| User Permissions Needed |                      |
| ----------------------- | -------------------- |
| To create a connection: | Data Cloud Architect |

Before you begin:

- Make sure that the required Databricks connection is set up.

1.  In Data Cloud, on the Data Streams tab, click **New**.

    You can also use App Launcher to find and select **Data Streams**.

2.  Under Other Sources, select the Databricks connection source, and click **Next**.

3.  Select from the available Databricks ingest connections.

    Select the Databricks tile that has a description of Ingest data from a Databricks Lakehouse to Data 360.

4.  Select the connection, then the database, then the schema, and the object that you want to import, and click **Next**.

    You can select one new object on the Available Objects tab.

5.  Under Object Details, for [category](https://help.salesforce.com/s/articleView?id=data.c360_a_category.htm&type=5), identify the type of data in the data stream.

6.  For [primary key](https://help.salesforce.com/s/articleView?id=data.c360_a_primary_key.htm&type=5), select a unique field to identify a source record.

    If a [composite key](https://help.salesforce.com/s/articleView?id=data.c360_a_composite_key.htm&type=5) is required or a key doesn’t exist, you can create one using a formula field. See [Create a Formula Field](https://help.salesforce.com/s/articleView?id=data.c360_a_formula_expression_library.htm&type=5) or [Use Case 2: Create a Primary Key](https://help.salesforce.com/s/articleView?id=data.c360_a_use_case_2.htm&language=en_US&type=5).

7.  (Optional) Select a record modified field.

    If data is received out of order, the record modified field provides a reference point to determine whether to update the record. The record with the most up-to-date timestamp is loaded.

8.  (Optional) To identify the data lineage of a record’s business unit, add the [organization unit identifier](https://help.salesforce.com/s/articleView?id=data.c360_a_organization_unit_identifier.htm&type=5).

9.  Click **Next**.

10. For Data Space, if the default data space isn’t selected, assign the data stream to the appropriate data space.

11. Click **Deploy**.

When the Last Run Status displays success, you can see how many records were processed and the total number of records that were loaded.

You can now map the created DLO to the data model to use the data in segments, calculated insights, and other use cases.

## See Also

- [Salesforce Help: Data Stream Settings and Refresh Modes](https://help.salesforce.com/s/articleView?id=data.c360_a_data_stream_edit_settings.htm&type=5)