In this blog, we’ll discuss all things data quality and data observability. We’ll present interviews with leading data scientists, and we’ll discuss our own working building data observability solutions for data engineers and data scientists working in a broad range of industries.

Introducing Data Culpa Validator

by | Sep 8, 2021 | Blog, Data Culpa

What’s your data doing? Can you tell?

Data teams tell us they need better visibility into data pipelines, integrations, repositories, and data lakes.

You can hand-code a bunch of unit tests to check for known boundary cases. But coverage will always be limited.

And unit tests don’t give you visibility across time.

How does today’s data ingest compare to yesterday’s or last week’s? Are schemas changing? Data values drifting? Is this week’s spike an anomaly or just a typical end-of-quarter surge?

Is your external data feed about to corrupt your results?

Observe Data Changes over Time

At Data Culpa, we’ve built a SaaS service that gives you a birds-eye view of your data.

Using our service, you can:

  • See what’s happening with your data at a glance.
  • Compare the data you’re getting to the data you’re expecting. Compare activity across time.
  • Receive alerts, and dig into what’s happening with your data before it jeopardizes business results.

We call our service Validator, because it helps you validate the data your company depends on.

Our early access program is open. Interested? Sign up today.

Have Questions?

Feel free to reach out to us!


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