LinkedIn Ads connector

Important

This feature is in Beta. Workspace admins can control access to this feature from the Previews page by opting into the Lakeflow Connect for LinkedIn Ads preview. See Manage Azure Databricks previews.

The managed LinkedIn Ads connector in Lakeflow Connect allows you to ingest advertising data from LinkedIn Ads into Azure Databricks.

Feature availability

Feature	Availability
UI-based pipeline authoring	Not supported
API-based pipeline authoring	Supported
Declarative Automation Bundles	Supported
Incremental ingestion	Partially supported The six prebuilt report tables support incremental ingestion. The five entity tables are fully refreshed on each update.
Unity Catalog governance	Supported
Lakeflow Jobs	Supported
SCD type 2	Not supported
Column selection and deselection	Supported You can select specific tables.
API-based row filtering	Not supported
Automated schema evolution: New and deleted columns	Not supported
Automated schema evolution: Data type changes	Not supported
Automated schema evolution: Column renames	Not supported
Automated schema evolution: New tables	N/A

Authentication methods

Authentication method	Availability
OAuth U2M	Supported
OAuth M2M	Not supported
OAuth (manual refresh token)	Not supported
Basic authentication (username/password)	Not supported
Basic authentication (API key)	Not supported
Basic authentication (service account JSON key)	Not supported

What to know before you start

Topic	Why it matters
Azure Databricks user persona	The workflow depends on your Azure Databricks user persona: Single-user: An admin user creates a Unity Catalog connection and an ingestion pipeline. Multi-user: An admin user creates a connection for non-admin users to create pipelines with.
Authentication method	The steps to create a connection depend on the authentication method you choose.
Interface	The steps to create a pipeline depend on the interface.
Ingestion frequency	The pipeline schedule depends on your latency and cost requirements.
Common patterns	Depending on your ingestion needs, the pipeline might use configurations like column selection. Supported configurations vary by connector. See Feature availability.

Start ingesting from LinkedIn Ads

The following table provides an overview of the end-to-end LinkedIn Ads ingestion flow, based on user type:

User	Steps
Admin	Configure LinkedIn Ads to enable authentication from Azure Databricks. See Set up LinkedIn Ads as a data source. Use Catalog Explorer to create a connection to LinkedIn Ads so that non-admins can create pipelines. See Create a LinkedIn Ads connection.
Non-admin	Use any supported interface to create a pipeline from an existing connection. See Ingest data from LinkedIn Ads.