#DataValidation

Recce - Trust, Verify, ShipDataRecce
2025-06-24

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.

👉 datarecce.io/blog/more-than-da

data diffing alerts
2025-06-24

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?

is contextual and temporal.

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

Recce - Trust, Verify, ShipDataRecce
2025-06-18

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 datarecce.io/blog/recce-vs-dat

Recce - Trust, Verify, ShipDataRecce
2025-06-17

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 👉 datarecce.io/blog/more-than-da

What data diff doesn’t tell you
Recce - Trust, Verify, ShipDataRecce
2025-06-11

"The value didn't justify the effort."
A Sr. Data Engineer at Swedish MediaTech after their Datafold PoC.

❌ Heavy setup → Noisy results → Alert fatigue → No way to start small
Comparison: datarecce.io/blog/recce-vs-dat

setup noise
Recce - Trust, Verify, ShipDataRecce
2025-06-10

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.

👉 datarecce.io/blog/more-than-da

Data Reviews What Changed
Recce - Trust, Verify, ShipDataRecce
2025-06-03

🚨 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 👉 datarecce.io/blog/more-than-da

Microsoft DevBlogsmsftdevblogs@dotnet.social
2025-04-03

Data quality is crucial for companies, and Great Expectations (GX) is a powerful framework for data validation.

Integrating GX with Microsoft Fabric allows for efficient, programmatic data checks.

By defining expectations and performing validations, businesses can ensure data accuracy and reliability.

Let's dive into how to set up GX within Microsoft Fabric for effective data management.

#DataQuality #MicrosoftFabric #GreatExpectations #DataValidation

N-gated Hacker Newsngate
2025-03-26

Oh, the irony! Oracle, the self-proclaimed fortress of cybersecurity, gets "allegedly" breached, and their customers are left validating the stolen data. 🚀 Meanwhile, the article demands cookies and JavaScript like a petulant toddler demanding snacks. 🍪🤦‍♂️
bleepingcomputer.com/news/secu

HEDDA.IOheddaio
2025-03-21

Our Add-In lets you validate data directly within Excel. Say goodbye to extra steps and hello to faster, more accurate workflows! Learn more: buff.ly/3Zboo6C

Recce - Trust, Verify, ShipDataRecce
2025-03-20

Use Column-Level Lineage to Validate dbt Data Model Changes

Column-lineage in Recce speeds up and improves the accuracy of your data validation and QA on dbt pull-requests:

medium.com/inthepipeline/using

Overture Rede Private LimitedOvertureRede
2025-03-06

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Notice Period: Immediate Joiners Only

📩Please share your updated resume at
bhavikas@overturerede.com

WhatsApp number 74286 94900

📢 Apply now
zurl.co/IeK73

2025-01-10

Currently resisting the urge, just, to find out if Popeye's UK would honour my order for 150 little sachets of Heinz Ketchup for a total cost of £0.00p

#Popeyes #Heinz #HeinzKetchup #OnlineOrders #FreebieFriday #DataValidation #OmNomNom #SanitizeYourInputs #Temptation

Screenshot of an "Order Basket" in the Popeye's UK App 

The basket contains 150 sachets of Heinz Ketchup, costing £0.00 each, for all order subtotal of £0.00
Aire AI App Builderaireapps
2024-12-09

🚀 Tackle Data Quality Issues in No-Code Database Apps!

Messy data? No problem! No-code tools make it easy to validate and clean data with built-in features and automation.

👉 Learn how to:

✅ Validate data entry with rules and logic.
✅ Eliminate duplicates and standardize formats.
✅ Automate cleaning tasks for efficiency.

Don’t let bad data slow you down.


zurl.co/8BSX

Joris (DWizzy)Joris@hostux.social
2024-11-30

Well, that's a convenient pick up point for your pacel if you're sailing to the UK, I guess?
#DataValidation #GoogleMaps

Map shows a DHL parcel wall a few kilometers off the coast
IB Teguh TMteguhteja
2024-10-16

Discover how to implement advanced data validation using Marshmallow in Flask applications. This comprehensive guide covers essential techniques to ensure data integrity, improve security, and build more robust web applications.

teguhteja.id/advanced-data-val

Open Knowledge Foundationokfn@fosstodon.org
2024-10-02

👀 ODE helps you find errors in your datasets and correct them in no time – a process called #datavalidation in industry jargon. It also checks that your dataset has all the necessary information for others to use, guaranteeing, again in technical jargon, data #interoperability.

Chris GeoghooliganVTDARKSIM@toot.community
2024-09-19

Sometimes I fight a bout of imposter syndrome at work, and then a coworker thanks me profusely for saving their ass by doing something so simple as rolling back a document version on #SharePoint or using #DataValidation in #Excel to ensure consistent results and I’m reminded at just how low the bar is.

The Breakpoint Showbreakpointshow
2024-09-09

Ready to validate your data like a pro? Tune in to "The Breakpoint Show" podcast to explore how developers can keep data clean, safe, and bug-free in their .NET solutions! Learn tips and tricks, and have some fun with validation! breakpoint.show/podcast/episod

Client Info

Server: https://mastodon.social
Version: 2025.04
Repository: https://github.com/cyevgeniy/lmst