18. Data Quality
15 Data Quality -
Examples of Data Quality Requirements
- Data must be a certain size
- Data must be accurate to some margin of error
- Data must arrive within a given timeframe from the start of execution
- Pipelines must run on a particular schedule
- Data must not contain any sensitive information
Data Quality Requirements
SOLUTION:
- Requirements are how we can set and measure quality
- Requirements allow both engineering and non-engineering roles to agree on the high-level method for preparing the output.
- Requirements tell engineers what the output of their data pipelines should be
SLA Quiz
SOLUTION:
Use a Service Level AgreementNo data
SOLUTION:
Data must be of a certain sizeData arrival