Data set validations

With the Data quality page, you can set data quality validations to check your data sets for anomalies. The data quality queries are based on SQL expressions and can be executed according to the schedule specified by you.

For more information on adding a data quality validation rule, go to Adding a data quality validation rule - a use case.

Only Admins and Owners can access the Data quality page and create a new data quality rule.

For more information on managing new rules, go to the Working with data quality queries page.

Output

After the system runs the test query on your data set, it displays the result. It informs you whether the run was successful. If the query stopped or failed, it provides the termination reason. Additionally, it gives you the details of the query run - its duration and the value it returned. That's why you need to create a query that returns a number. You can create it by using, for example the count() function. To see an example of using the function, go to Adding a data quality validation rule - a use case.