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The four pillars of data observability: metrics, metadata, lineage, and logs
The Four Pillars of Data Observability.
How much data do we need to reconstruct a useful picture of our data? That’s the question we attempt to answer in this article. The groupings of questions we need to answer in order to describe our data are the “pillars” that underlie data observability.
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