DataKitchen, Inc.

09/01/2026

How Do I Get My Data Team More Efficient?
Your team isn't slow; it's interrupted. Three routes to fewer unplanned Mondays: stop the errors, take the principles, rebuild only if it needs rebuilding.
https://hubs.ly/Q04vX_Wr0

08/31/2026

Waking up at 2:00 AM for a crying newborn? 🍼
"Happy to be here. This kid is worth it."
Waking up at 2:00 AM because bad data broke a production dashboard? 📉
"This is not worth it."
If you work in data engineering, you know the late-night dread: bad data slips into production, an executive dashboard shows garbage metrics, and suddenly it's your night to fix it.
You shouldn't have to lose sleep over silent pipeline failures.
That’s why we built DataKitchen TestGen.
Instead of manual test writing or firefighting broken pipelines at midnight, TestGen:

- 🤖 Auto-generates data tests instantly.
- 🛡️ Catches data errors before they ship to production.
- 💚 Keeps dashboards green so you can rest easy.
Wake up for what actually matters in life. Not for broken data.
🚀 TestGen is 100% open-source. Get started in minutes:
👉 https://hubs.ly/Q04vxlMT0
Sleep well at night! 😴

08/30/2026

Most data quality tools ask you to write the tests first.
That is the part nobody has time for. You inherit 400 tables. You know, maybe 12 of them well. The business rules that matter live in the heads of three people who are in meetings all day.
TestGen goes the other way. Point it at your database. It profiles every column, finds the hygiene issues, and generates a base set of tests before you type anything. Freshness, volume, schema drift, and metrics are monitored from run one.
Then you add the rules that only you can write. The ones about your business, your customers, your edge cases. Use our MCP and talk to your data quality tool
It is open source. Install it today—no sales call, no quote, no procurement cycle.
59 seconds below shows the whole thing.
https://hubs.ly/Q04vx1WL0

08/29/2026

TestGen MCP Cheat Sheet: 96 Tools, One Page, Zero Excuses ... Open Source
96 tools that cover the entire data quality loop, callable from Claude, Cursor, Copilot, or the agent you're building.

https://hubs.ly/Q04vwP2Y0

08/27/2026

Commercial pharma runs on a dozen special-format identifiers that need full validatkon.

The new Commercial Pharma pack in TestGen Enterprise auto-generates twelve tests that check them the way their specs define them.

Commercial pharma runs on a dozen special-format identifiers that generic profiling counts characters in and never validates. The new Commercial Pharma pack in TestGen Enterprise auto-generates twelve tests that check them the way their specs define them.

08/27/2026

Microsoft has no single data quality, data dobservability or data profiling product. Data work in a Microsoft shop spans nineteen features across five products — that you have to assemble yourself
https://hubs.ly/Q04vx1DV0

08/26/2026

Data Quality Takes A Village. An analyst who spots a bad number, a steward who owns the definition, the engineer who runs it, and the CDO who counts them. Nobody holds the whole picture.
https://hubs.ly/Q04vrZQ-0

08/24/2026

A billion-dollar hospitality company stood up a data team because the business had stopped trusting the reports. Early in the program they had already caught a hotel about to be billed for a service it had stopped using, a site editing guest email addresses so satisfaction surveys could never arrive, and a reporting distortion that lands every Monday.

A billion-dollar hospitality company stood up a data team because the business had stopped trusting the reports. Early in the program they had already caught a hotel about to be billed for a service it had stopped using, a site editing guest email addresses so satisfaction surveys could never arrive...

08/23/2026

Agents to Fix Data Quality Automatically With A Human Veto: A design pattern
TestGen and Claude find the problems and propose the fix; you approve each fix in a ticket, and a second program applies what you approved
https://hubs.ly/Q04tb1wJ0

08/22/2026

The Blueprint or the Fire Alarm Panel: Why Data Test Coverage Beats
A lineage graph names five tables downstream of a bad number. Only test coverage tells you which one is wrong.
https://hubs.ly/Q04tb2xq0