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Meta Ads connector

Beta

This feature is in Beta. Workspace admins can control access to this feature from the Previews page. See Manage Databricks previews.

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

What to know before you start​

Topic

Why it matters

Databricks user persona

The workflow depends on your 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. For supported methods, see Authentication methods.

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 history tracking, column selection, and row filtering. Supported configurations vary by connector. See Feature availability.

Start ingesting from Meta Ads​

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

User

Steps

Admin

  1. Configure Meta Ads to enable authentication from Databricks. See Set up Meta Ads as a data source.
  2. Use Catalog Explorer to create a connection to Meta Ads so that non-admins can create pipelines. See Meta Ads.

Non-admin

Use any supported interface to create a pipeline from an existing connection. See Ingest data from Meta Ads.