Auto-diff every model on every PR? Tempting.
But you’ll get ⚠️ dozens of alerts, most irrelevant.

CI without context = alert spam.

Real-world data work needs more than diffs: what changed, why, and what to do.

Human judgment matters.
Recce helps automate with opinions.

👉 https://datarecce.io/blog/more-than-data-diff/

#dataengineering #datadiff #analyticsengineering #datavalidation

Hot take: Automating ALL data diffs by default is backwards 🔥

🤖 Datafold's automation-first vs 🙋Recce's human-in-the-loop philosophy

Getting 50 automated alerts or 5 targeted insights?

See comparison https://datarecce.io/blog/recce-vs-datafold/

#DataEngineering #DataValidation #datadiff

Data diff tells you something changed. but NOT:

❓ Was it expected?
⛏️ Worth investigating?
🔗 What depends on it?

Let’s stop mistaking output for insight.
See how 👉 https://datarecce.io/blog/more-than-data-diff/

#dataengineering #datadiff #analyticsengineering #datavalidation

Don’t start with what changed. Start with what SHOULD change!

Because not every diff is a problem, and not every problem shows up as a diff.

👉 https://datarecce.io/blog/more-than-data-diff/

#dataengineering #datadiff #analyticsengineering #datavalidation

🚨 Data diff isn’t enough.
You’re putting out harmless fires while real metric failures burn unnoticed.

You don’t need more diffing. You need better understanding.
Read 👉 https://datarecce.io/blog/more-than-data-diff/

#dataops #datadiff #datavalidation #dataengineering

Noticias sobre Python y Datos de la semana, episodio 70 🐍⚙️

En resumen: Versiones nuevas de Anaconda, PyCaret y pandera, diferencias de tablas con data-diff, mejora masiva de uso de memoria en Dask, y... el *temita* de sktime

https://astrojuanlu.substack.com/p/episodio-70

Apoya el noticiero suscribiéndote por correo 📬

#anaconda #pycaret #pandera #datadiff #dask #python #pydata #noticieropythonydatos