Data observability includes using machine learning algorithms for automated data anomaly monitoring and alerting, tracing data lineage, and enforcing business rules on incoming data. These tools help accelerate data incident resolution or avoid incidents by proactively stopping bad data from reaching customers.
We strongly believe this is a critical component in our data architecture.