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Airtable ​

Airtable is a cloud-based platform that combines spreadsheet and database functionalities, designed for data management and collaboration.

Bruin supports Airtable as a source for Ingestr assets, and you can use it to ingest data from Airtable into your data warehouse.

In order to set up Airtable connection, you need to add a configuration item in the .bruin.yml file and in asset file. You need the base_id and access_token. For details on how to obtain these credentials, please refer here.

Follow the steps below to correctly set up Airtable as a data source and run ingestion.

Step 1: Add a connection to .bruin.yml file ​

To connect to Airtable, you need to add a configuration item to the connections section of the .bruin.yml file. This configuration must comply with the following schema:

yaml
    connections:
      airtable:
        - name: "connection_name"
          base_id: "id123"
          access_token: "key123"
  • base_id: A unique identifier for an Airtable base.
  • access_token: A personal access token for authentication with the Airtable API.

Step 2: Create an asset file for data ingestion ​

To ingest data from Airtable, you need to create an asset configuration file. This file defines the data flow from the source to the destination. Create a YAML file (e.g., airtable_ingestion.yml) inside the assets folder and add the following content:

yaml
name: public.airtable
type: ingestr
connection: postgres

parameters:
  source_connection: connection_name
  source_table: 'details'

  destination: postgres
  • name: The name of the asset.
  • type: Specifies the type of the asset. Set this to ingestr to use the ingestr data pipeline.
  • connection: This is the destination connection, which defines where the data should be stored. For example: postgres indicates that the ingested data will be stored in a Postgres database.
  • source_connection: The name of the airtable connection defined in .bruin.yml.
  • source_table: The name of the data table in airtable that you want to ingest. For example, details is the table of airtable that you want to ingest.

Step 3: Run asset to ingest data ​

bruin run assets/airtable_ingestion.yml

As a result of this command, Bruin will ingest data from the given Airtable table into your Postgres database.

airtable