The Four Pillars of Data Observability

The Four Pillars of Data Observability are metrics, metadata, lineage, and logs. Metrics describe the internal characteristics of data, such as summary statistics or accuracy. Metadata provides external information about data, like volume, structure, and freshness. Lineage outlines dependencies between pieces of data, while logs document interactions between data and the real world, including machine-machine and machine-human interactions. These four pillars together provide a comprehensive understanding of an organization's data health at any given time.

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