Features
| Feature | Supported | Notes |
|---|---|---|
| Set pipeline frequency | Yes | For more details, see the guide. |
| Full load synchronization | Yes | |
| OAuth connection | Yes |
📘 This connector collects the following Mailchimp tables:
Quick Start
To create a pipeline, open the Collect module, go to "Pipelines", and click "New Pipeline".
Choose the Data Source
Use an existing source or register a new one
Pipeline Information
Assign a name and a brief description to your pipeline.
Pipeline Configuration Parameters
| Field name | Description | Example |
|---|---|---|
| Start date | Determines how much historical data will be extracted. | dd/mm/aaaa |
Click "Save and Continue".
Specify Objects
Synchronization available for each object:
lists- Replication strategy: FULL_TABLE
list_members- Replication strategy: INCREMENTAL | FULL_TABLE
list_segments- Replication strategy: FULL_TABLE
list_segment_members- Replication strategy: FULL_TABLE
campaigns- Replication strategy: FULL_TABLE
reports_email_activity- Replication strategy: INCREMENTAL | FULL_TABLE
unsubscribes- Replication strategy: FULL_TABLE
automations- Replication strategy: FULL_TABLE
After entering the credentials, you can view and select the entities and columns from the connected source to import during data collection.
You can also define the synchronization mode per object.
📘
When selecting more than one entity, a separate dataset is created in the catalog for each imported table or view.
Frequency
- Finally, configure how often your pipeline should run. Choose one of the available options or enter a custom frequency using a cron expression. For more information, see the guide.
📘
The default time zone for scheduling is UTC.
All frequency methods define when extractions begin. They do not control how long replication runs or when the data actually reaches its destination.
Done! Wait for collection to run on the scheduled day and time.
To run the pipeline immediately, you can start it manually within 30 seconds after creating it. Go to "Pipelines", "List", and "Synchronize Pipeline".
After a few minutes, your pipeline will be cataloged as a Data Asset in the Explore tab.
You can also open "View pipeline" in the pipeline list to review the summary, collected entities and columns, execution history, and micro-transformation history.