ETL testing challenges
Creating an ETL pipeline testing environment presents a unique set of challenges that extends beyond the quality and reliability of your data pipeline. We have discussed some of the potential errors to look out for, but there are additional confounding factors within your development and production environments that aren’t as easy to debug by simply looking at your code.
Data privacy and security
Depending on the purpose of your ETL pipeline, you might be moving and transforming sensitive data. Creating a test environment that accurately represents this while complying with data privacy laws (such as GDPR or CCPA) can be challenging. Data masking or obfuscation techniques are techniques that are typically used to redact sensitive data in the lower environments (i.e., dev and test), but it can be challenging to accurately create versions of sensitive prod data that remains useful for development and optimization within these environments. It’...
