Data observability

Practice that involves monitoring and understanding the health, quality, performance, and reliability of data systems. It includes aspects such as data quality monitoring, data lineage, data performance, data reliability, and alerting and incident management, providing insights into data pipelines and transformations. Data observability is particularly valuable for organizations aiming to ensure their data is accurate, consistent, and reliable.