Data validation is the process of verifying that data is in an acceptable state for downstream processing (analytics, visualisations, machine learning, etc). It's important for data to conform to the expectations of downstream consumers so that they can use it with confidence; poor data quality issues that go unresolved can have significant deleterious impact on production systems.