Validate
Last updated
Was this helpful?
Last updated
Was this helpful?
Validate that specified conditions are met in a given dataset.
Table to be validated
Validation Results Validated Table
Validation Type
The type of validation being performed
Validation Name
The name of the validation being performed
Validation Description
A description of the validation being performed
Validation Field (If applicable)
The field from the validation table to perform said validation on
Expression (If applicable)
The expression used to validate data
Format Check (If applicable)
The format expected of a given column of data
Reference Table (If applicable)
The reference table used to validate data
Reference Field (If applicable)
The field from the reference table used to validate data
Aggregate Validation Results
A boolean value determining whether all of the validations must "Pass" in order for the aggregated validation result to "Pass". If set to true, the validation tool will produce a single validation column on output. If set to false, each validation created will produce a unique column of results.
Uniqueness Check
Ensure that a specified column of values from the validation table are unique
Expression Check
Use AuditBoard Analytics's expression builder to define your own validation
Format Check
Ensure that a specified column of values from the validation table match a specified format
Null Check
Check whether the values in a given column are null
Data Type Check
Check that the values in a given column are of a certain datatype
Reference Check, Contains
Ensure that the values within a specified column from the validation table are found within a specified column from the reference table
Reference Check, Does Not Contain
Ensure that the values within a specified column from the validation table are not found within a specified column from the reference table
Let's say that I want to ensure that my price data contains only positive values. I could use an expression check to do so.
The first output from this tool is seen within the Validation Results tab in the image above. This tool also produces a new column in your table, as seen below.
Let's say we have new product data that we want to add to our existing master data set. We need to ensure that all products in the new dataset exist within our master dataset.
Now let's say we additionally need to ensure that our SKUs within this dataset are entirely unique.
As seen above, we have two validations occurring within the same tool. The Aggregate Validation Results* checkbox has been left unchecked, resulting in two unique validation columns in our resultant table.
If, however, we want to force both columns to pass in order for our validation to pass, we can check the Aggregate Validation Results* checkbox as follows, producing a single column in our resultant table.
Let's say you have new data containing email addresses and you must validate whether or not those addresses are in a valid email format.
