"Do I have to validate all downstream models?" 🤯 This question haunts every data engineer at 11pm before a deploy.

We're obsessed with this problem which led us to build "Impact Radius"

🧵 See our journey https://reccehq.com/blog/Building-Impact-Radius-1/

#datacorrectness #datavalidation #datatests

Benefits of "automate everything" data validation , but hidden cost 💸
1️⃣ Compute Spend
2️⃣ Alert Fatigue
3️⃣ Team Trust

Compare automation-first vs human-in-the-loop: https://datarecce.io/blog/recce-vs-datafold/

#DataEngineering #DataValidation #dbt #DataCosts

Is high-quality data the same as correct data?
No, data can pass every test, but still be wrong 😱

✅ Schema checks
✅ Null constraints
🚫 No correctness validation

Recce introduces a workflow built around data correctness

Find and fix silent errors:
https://reccehq.com/blog/high-quality-data-can-still-be-wrong/

#dataquality #datavalidation #dataengineering

If you know anything about data validation, you must know how vital it is to maintain the accuracy and integrity of data.

See here - https://techchilli.com/artificial-intelligence/pandera-in-python/

#Pandera #Python #DataValidation #TechChilli #DataScience

Choose Recce and Datafold?

Datafold if:
→ large-scale data
→ automated CI/CD coverage all

Recce if:
→ focus on dev-time validation
→ prefer lightweight, open-source flexibility

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

#DataEngineering #DataValidation #dbt #BuyersGuide

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

Your data passed all tests but your CEO still questions the quarterly report.
Why the data is “correct” to you but not to your CEO?

#datacorrectness is contextual and temporal.

If it's subjective, why are we still building validation like it's objective?

#datavalidation

Brent Stewart presents 'Web Development Elevated: Mastering Blazor Basics' July 24th at Nebraska.Code().

https://nebraskacode.amegala.com/

#WebDevelopment #Blazor #CSharp #RenderModes #DataValidation #Nebraska #ComponentLifeCycle #FrontendDevelopment #TechnologyConference #AlienArcTechnologies #BlazorBasics #WebDeveloper #DevelopmentConference #July2025

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