In the previous unit, you learned how critical it is to catch bad data at the door. Now let's get some hands-on practice designing and applying data quality rules.
Engagement Message
Ready to build some robust quality gates?
Identify the correct quality check for each issue by swiping left or right.
Type
Swipe Left or Right
Practice Question
Identify the correct quality check for each issue by swiping left or right.
Labels
- Left Label: Validation
- Right Label: Standardization
Left Label Items
- Order amount is negative
- Email field is empty
- Date is in the future
- Zip code is not 5 digits
Right Label Items
- States are "CA" and "ca"
- Phone numbers vary
- Names are mixed case
- Dates are in US/EU format
When a data record fails a quality check, what should be the response? Sort these scenarios into the appropriate action box.
Type
Sort Into Boxes
Practice Question
When a data record fails a quality check, what should be the response? Sort these scenarios into the appropriate action box.
Labels
- First Box Label: Reject Record
- Second Box Label: Quarantine for Review
First Box Items
- Missing primary key
- Invalid credit card
- Failed schema check
Second Box Items
- Address unverified
- Slightly old data
- Optional field empty
