Important
To suggest a data class, automatic data classification needs enough data. Columns with very little data may not have a data class suggested.
- The automatic data classification process needs at least 6 values that can be checked, to classify a column.
Example:
For data class A, you define a regular expression and indicate you don't want to consider empty values.
If you then classify a column with a lot of null values and five non-null values, the column won't get a data classification suggestion, even if the non-null values match data class A. - The automatic data classification process will extract a maximum of 1,000 values from the data source.
The samples are temporarily added to the Edge site cache. They are not transferred to Collibra. If the Edge site cache already contains at least 100 samples for this data source, the automatic data classification process will use those samples.
Prerequisites
- You have registered a data source via Edge and synchronized one or more schemas.
- You have the required permissions.
- You have configured data classes with classification rules.
Start the classification process for one column
- Go to the related Column asset.
- In the At a glance sidebar, click Classify. If the At a glance sidebar is hidden, click
.
The data classification process starts. You can see the classification job in the list of activities. For an activity, you can see when the job started and who started it.
If a data class matches the data in the column, a classification suggestion will be assigned to the Column asset with a confidence percentage.
Start the classification process for one or more columns from a Table, Schema, or Database asset
- Go to the Table, Schema, or Database asset.
- Click Actions → Classify.
The data classification process starts. You can see the classification job in the list of activities. For an activity, you can see when the job started and who started it.
If a data class matches a column, a data classification suggestion will be assigned to the Column asset with a confidence percentage. - Open the Table asset with the classified columns.
- Add the Data Classification column to the table.
The Data Classification column shows the suggested data classes.
