The Curiosity platform comes with defaults already available, or you can create your own. To learn more about this, please see our knowledge base article
Applying defaults is normally the first way to populate a rule set with synthetic data generation rules. Using the extensive analysis undertaken in the profiling and discovery training (Module 1 of this course), the default rules can be applied depending on criteria such as tags, column names and the content of the data.
- Apply global defaults
In the rule set screen you can see the ‘Apply Defaults’ button that allows users to apply global defaults.
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When you click the ‘Apply Defaults’ button the following screen will open:
The drop down displays the different default rule sets you can apply to the data generation rule set. You can select multiple default rule sets and order their priority in the screen, as only one generation rule can be applied to each column. -
Once the default rule sets have been chosen, the tool will ingest the information that has been gathered about the rule set such as tags, column names and the data to identify which default rules can be applied.
The next step is to decide which of the default rules to apply to the generation rule set, by using the toggle next to each rule. The screen shows which rules will be applied to which column and what the current rule is and what it will be changed to. It also tells you the source of the previous rule to aid a decision in whether to replace it or not
You can also use the ‘Download’ button to download the changes into a CSV file and view them.
- Click ‘Apply’ to implement the selected rules
Exercise 4
- Run ‘Apply defaults’ on your rule set
Need help or want to check your work? Check the solution video here.