Monte Carlo
Last updated
Last updated
The Monte Carlo integration is in beta. Please reach out to support@getselectstar.com to get started.
The Monte Carlo integration helps surface data quality information into Select Star, the place most users go to find and discovery datasets and get more context. This integration helps spread awareness of data quality and guides decisions on what data to use.
The integration surfaces data quality information from Monte Carlo monitors directly on the tables themselves.
Note: only monitors that are enabled and active are shown. Any monitors that are disabled, snoozed, in training, have insufficient data, misconfigured or otherwise unable to run are not displayed.
To create an account-service API key for connecting to Monte Carlo:
In Monte Carlo, go to Settings in the top header.
In the left menu click API and then click Account Service Keys at the top.
From the Account Service Keys page, click Create Key and enter the following:
In Description, add a useful description for your API key — i.e. Select Star
.
For the Authorization Groups dropdown, select Editors (All) to provide minimum permissions for crawling Monte Carlo.
For Expires After, keep the default selection or select a preferred option.
Click Create to finish creating the account-service API key.
Copy the Key ID and Secret and store them securely.
In Select Star, configure Monte Carlo as an App to set up the integration. Note - this must be done by an admin.
Click your profile in the top right, and go to Settings.
Go to Admin > Apps and on the Monte Carlo tile, click Connect.
Enter the API Key and Secret and click Save.
It will take a few minutes to ingest the monitor information from Monte Carlo.
Once a day Select Star will ingest all monitors and latest statuses for any alerts. Select Star uses webhooks that will appear as Audiences within Monte Carlo to be able to get fast updates when an alert is created or status has changed.
Select Star maps the Monte Carlo Alert Status to a status for the Monitor, so you can quickly see where your data issues are.
No Status
❌ Failed
Investigating
❌ Failed
Work in Progress
❌ Failed
Fixed
✅ Passed
Expected
✅ Passed
No Action Needed
✅ Passed
False Positive
✅ Passed