BigID API/API Tutorial

In this article, you'll learn:

How to get a BigID token using a REST API call
Where to find the BigID API documentation
How to use a BigID token to receive data from BigID

scenarioAs part of your data governance tasks, you need to get a list of data sources so you can be sure that your external data catalog has the right information. You've thought about doing this through the user interface, but you expect that you'll review this list around every three months. With that in mind, the BigID API seems like the best option. Discover and test the API calls you'll need to perform this task.

The BigID API allows you to perform all the actions you're used to performing via the BigID user interface programmatically. This is perfect for scenarios like the one in this exercise where you need to perform the same operation on a scheduled basis. In order to communicate with BigID over its API, we first need to authenticate ourselves.

Authenticating with BigID

There are two ways to authenticate ourselves to BigID:

User Token - A user token (generated from Administration -> Access Management by a System Administrator) allows you to access BigID by exchanging a user token for a session token at the /refresh endpoint. This means you don't have to store your username and password within an application, but user tokens are only valid for a maximum of 999 days.
Username and Password - You provide a username and password to the /sessions endpoint and BigID will return a session token that is valid for any other API endpoints (given that user has permissions to access them) for 24 hours. This is a legacy authentication method and will only work for on-prem versions of BigID. Details on this mechanism are here

Token Authentication

In this tutorial we're going to authenticate with BigID using a user token to retrieve a list of data sources.

First we'll need to create a user token for us to use through the BigID UI.

If you don't have access to a BigID environment to get a token, you can get one from the sandbox by running the automation after the steps.

Generate a Token

To do this we need to navigate to the Access Management screen under Administration -> Access Management. On the Access Management screen, select the user you want to create a token for from the System Users List. Then press the Generate button to start the token creation process.

Tokens can only be valid for up to 999 days. Since we're just using this token for testing, let's set it to 30 days and then click Generate like in the screenshot below.

On the next screen you'll see a name for the token as well as the token value. Copy the token value by clicking the icon to the right of it then close the dialog. You can't see the token value again so be sure you have saved it someplace safe.

Finally, save the user so the token can take effect.

Use the tool below to generate a token for the sandbox.

Exchange a token for an session token

Now that we have a user token, we need to exchange it for a system token that we can use to access API endpoints. This uses the /api/v1/refresh-access-token endpoint like below. Replace the TOKEN HERE in the request headers with your previously obtained user token and click Send to get a session token.

In response to this request you'll get the following:

{
    "success": true,
    "systemToken": "eyJhbGciOi<don't copy me! I'm just an example!>..."
}

This session token can then get used on any BigID API.

Calling an API

Now that you have a session token we can directly call BigID APIs. Documentation for these APIs is available at https://www.docs.bigid.com/bigid/reference/api-getting-started . Since we're just trying to perform a simple task, we don't need the docs here, just to know that GET /ds-connections is the endpoint to retrieve a list of data source connections.

Add a new header named "Authorization" and paste the session token you got in the previous request to authenticate yourself.

In that API call, we can see a list of data sources and all the information for each data source.

{
    "status": "success",
    "statusCode": 200,
    "data": {
        "ds_connections": [
            "<data source info here>"
         ]
    }
}