What is Data Observability?
Monitoring data health across pipelines to detect and resolve quality issues proactively.
Data observability is the ability to understand the health and state of data flowing through an organization's systems. Like application observability (monitoring software for bugs), data observability monitors data for freshness (is data arriving on time?), volume (is the expected amount of data present?), schema (has the data structure changed?), distribution (are values within expected ranges?), and lineage (where did this data come from?). It enables teams to catch data quality issues before they impact downstream consumers.
Related terms
The degree to which data is accurate, complete, consistent, timely, and fit for its intended use.
An automated workflow that extracts, transforms, and loads data from sources to destinations.
The tracking of data's origins, movements, and transformations throughout its lifecycle.
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