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Data observability is built on three core blocks that create context for data engineers: metrics, logs, and lineage. Uber, Airbnb, Netflix, and others use data observability to help monitor their data. Data teams can predict how changes in one part of the model will cascade downstream, plus trace problems to their upstream sources. Data observability tools give a bird’s-eye view of the entire data model, supplying both the foresight to predict and the early-warning-capability to detect changes.