Recce Blog
Updates, articles, and insights from the Recce team
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Announcing Recce 1.0 with Cloud beta
Recce gives data teams a faster, more reliable way to understand, review, and ship changes without all the guesswork or manual overhead.
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Trust Issues: How Jaffle Shop Rebuilt Stakeholder Confidence with Recce
While investigating an issue initially raised by marketing, the Jaffle Shop data team discovered something bigger: revenue numbers were wrong, and had been for a while.Regaining confidence required transparency, context, and hours of manual effort: SQL tracing, ad-hoc queries, spreadsheet exports, and slow back-and-forth with stakeholders.Using Recce, the team can instead now investigate in under 10 minutes, show what changed, and align with business stakeholders in one shared view.
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Why Column-Level Lineage Matters for dbt: Comparing the Options
Column-level lineage comparison: dbt Power User (VSCode), dbt Cloud, SQLMesh
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Meet Recce at Data Council and Data Reboot, Data Renegades Happy Hour
Recce is attending Coalesce 2024 in Las Vegas to connect with the data community and discuss solutions for data quality, impact analysis, and improving the data PR review process. We are also co-hosting the Data Renegade Happy Hour, a fun networking event with data companies like Tobiko, Cube, Paradime.io, Datacoves, and Steep.
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Recce Is Now SOC 2 Type 1 Compliant
Recce has achieved SOC 2 Type 1 compliance, reinforcing our commitment to data security, confidentiality, and reliability—ensuring confidence in your data workflows.
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Recce - Your data change management toolkit
With Recce you’re able to validate your data modeling changes against a known-good baseline, comparing datasets before and after your modifications, in a risk-free environment. And there’s a diff for every occasion.
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Support Self-Serve Data with Comprehensive PR Review
dbt helps to apply software engineering (DevOps) best practices to data pipelines. With proper adoption and application of these practices as Dataops it is possible to support a self-serve data and analytics culture, while still maintaining data integrity through systematic data validation and PR review.
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Explore data impact and focus on tracking data validations with Recce's new interface
Recce's updated interface lets you stay on track while assessing and exploring data impact in your dbt project when making dbt data model changes, and performing dbt PR review.
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The Ultimate PR Comment Template Boilerplate for dbt data projects
A PR comment template for dbt projects is essential for streamlining the pull request process, ensuring that both authors and reviewers are aligned on what changes have been made and how those changes have been validated.
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Meet Recce at Coalesce 2024 and The Data Renegade Happy Hour
Recce is attending Coalesce 2024 in Las Vegas to connect with the data community and discuss solutions for data quality, impact analysis, and improving the data PR review process. We are also co-hosting the Data Renegade Happy Hour, a fun networking event with data companies like Tobiko, Cube, Paradime.io, Datacoves, and Steep.
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From DevOps to DataOps: A Fireside Chat on Practical Strategies for Effective Data Productivity
Joined with industry experts CL Kao and Noel Gomez in a fireside chat exploring the evolution from DevOps to DataOps. Discover practical strategies for improving data productivity, reducing errors, and enhancing data quality. Learn how to apply software best practices to data management for more effective decision-making. Sign up for the full video recording to gain insights on modern DataOps workflows.
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Identify and Automate Data Checks on Critical dbt Models
Identifying critical dbt models and automating impact assessment on these models is essential for ensuring data integrity
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Use Histogram Overlay and Top-K Charts to Understand Data Change in dbt
These profiling stats even more useful when applied to data change validation in dbt projects
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Hands-On Data Impact Analysis for dbt Data Projects with Recce
Use diffing techniques to perform data drill-down and QA your work
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Data Validation Toolkit for dbt Data Projects
Validate modeling changes and create 'all-signal' PR comments
