What is…

Three terms this industry uses loosely, explained properly. No vendor pitch, no jargon tax. Start with DataOps if any of them is new to you: the other two are parts of it, not substitutes for it.

The discipline

What Is DataOps?

Running data and analytics the way software teams run code: tested changes, fast releases, measured results.

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The data half

What Is DataOps Data Quality?

Quality as a production control instead of a project: profile the data, generate the tests, act on what breaks.

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The process half

What Is DataOps Process Observability?

Watching the process that makes the data: did every step run, in order, on time, with its tests green.

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Once the words make sense

The explainers cover what these things are. The free courses cover how to do them, with the module list and the exercises.

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