Data tools keep multiplying, but core workflows still break the same ways. Revenue numbers silently ...
Welcome to the last release of 2025!
The best conversations about data infrastructure tend to happen in private at conferences, over drin...
Why AI Summary for Data Reviews In our previous blog, we talked about why data teams need need AI Su...
We just shipped the infrastructure that allows AI agents to interact directly with your data validat...
Ad-hoc Checks, Siloed Knowledge "I reviewed three PRs in one day. Each touched the core metrics but ...
In our previous article, we eliminated the biggest adoption barrier. Now anyone can sign up and laun...
October was packed. We launched new integrations, simpler workflows, and got to have real-world conv...
In our previous article, we discovered that data teams loved Recce's concept but struggled with adop...
The Recce team is returning to Coalesce 2025 in Las Vegas, and we're bringing reinforcements! Meet o...
The Painful Realization "This is exactly what we need," said the data analyst, her eyes lighting up ...
In our first article, we wrote about how built column-level Impact Radius to answer our users' quest...
viadukt, a digital platform connecting stakeholders in Germany's €185 billion energy-efficient renov...
The Silent Failures That Actually Matter Most data pipeline failures are obvious and easily caught b...
Continuing from our last blog post about building Impact Radius, we realized we could build an even ...
The problem of data validation When you make changes in a data project, you’re rarely worried about ...
It’s been a pretty busy couple of months with conferences and some exciting new features from Recce!...
When data passes the test, but fails the business Data quality is often used as a catch-all term for...
From Seed to Macro In an earlier post about refactoring our own dbt repo, we mentioned a dim_dates t...
Many teams come to Recce after evaluating Datafold. Some tried it in production, others ran a PoC (P...
Data diffing is a tool, not the goal Five years ago not many people had heard of data diffs. Now whe...
Understanding how each column in a data model is derived is a critical part of building trustworthy ...
🎉 Recce 1.0 is live. Help us spread the word!
TL;DR: If stakeholders can’t trust the numbers, why would they trust the people behind them? While i...
Column-level lineage was a hot topic during 2024, with many data platforms and tools adding this fea...
Data Council is one of our favorite conferences: thousands of Data & AI practitioners, hundreds ...
At Recce, we take the security and integrity of your data seriously. Today, we’re excited to announc...
Whether you’re the author of a pull request or the one reviewing it, you’ve got a tough job: figurin...
There’s nothing worse than being distracted while you’re in the middle of working on a complex task ...
dbt, the platform that popularized ELT, has revolutionized the way data teams create and maintain da...
If you’re looking to level-up your dbt game and improve the PR review process for your team, then us...
The Recce team will be joining Coalesce 2024 in Las Vegas! Meet our founder, CL Kao, and product man...
Top priorities for data-driven organizations are data productivity, cost reduction, and error preven...
Do you know which are the critical models in your data project?
Data profiling stats are a really efficient way to get an understanding of the distribution of data ...
dbt data projects aren’t getting any smaller and, with the increasing complexity of DAGs, properly v...
Validating data modeling changes and reviewing pull requests for dbt projects can be a challenging t...