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Overview
Datadog’s Fivetran integration helps data teams understand how data flows from external sources into their data warehouses and trace quality issues back to upstream sources. When Datadog connects, it:
- Pulls metadata from your Fivetran account, including connectors, groups, and schema mappings
- Automatically generates column-level lineage between source system tables and destination warehouse tables across all active connectors
Lineage is derived for all supported data warehouse destinations.
Connect Fivetran
Generate an API key
Datadog recommends using a System Key. Unlike Scoped Keys, which inherit permissions from a user account, System Keys have permissions set at the key level and continue working if the associated user leaves or changes roles.
Follow the Fivetran System Keys documentation to generate an API key and secret with the following permissions:
[
{"resource_type": "DESTINATION", "access_level": "READ"},
{"resource_type": "CONNECTOR", "access_level": "READ"}
]
Add the Fivetran integration
To connect Fivetran to Datadog:
Navigate to the Fivetran integration tile and enter the following information:
After you’ve entered these credentials, click Save.
What’s next
When your Fivetran account is successfully connected, Datadog syncs every 60 minutes and automatically derives column-level lineage from source system tables to your destination warehouse tables across all active connectors.
Initial syncs may take up to several hours depending on the number of connectors and schemas in your Fivetran account.
After syncing, you can explore your Fivetran-sourced tables and their upstream dependencies in the Data Observability Catalog.
Further reading
Documentation, liens et articles supplémentaires utiles:
