Fivetran

The Fivetran integration synchronizes your Fivetran connection metadata into the lineage graph.

Web App

Fields

ApiKey

Follow https://fivetran.com/docs/rest-api/getting-started (opens in a new tab) to generate an api key.

Python Library

Installation

Install Fivetran Grai package with pip

pip install grai-source-fivetran

This installs the Grai fivetran integration, which is now ready to run in python

Connecting & Syncing

The integration comes equipped with the client library already but we will need a python terminal or Jupyter Notebook to execute a few commands to establish a connection and begin querying the server.

Spin up your favorite python terminal then:

import os
from grai_source_fivetran.base import update_server

For now we will use the default user credentials though you are free to create a new user / api keys from the server admin interface at http://localhost:8000/admin (opens in a new tab).

client = ClientV1("localhost", "8000", username="null@grai.io", password="super_secret")

Now we can update the server with data from your Fivetran source. In order to do so you will need to pass credentials and namespace information for your various Fivetran connections. If you wish to put all fivetran data into a single namespace you can provide a single default_namespace value or customize your namespace organization by passing a dictionary to the namespaces parameter.

    {<fivetran_connection_id>: {
        'source': [source_namespace],
        'destination': [destination_namespace]}
    }

Using example variables, in order to update the server with your metadata, simply run:

update_server(client, default_namespace=[your_namespace], api_key=[your_fivetran_api_key], api_secret=[your_fivetran_api_secret])