PinnedDave FlynninIn the PipelineNext-Level Data Validation Toolkit for dbt Data Projects — Introducing RecceThe ultimate data modeling validation toolkit for comprehensive PR review that doesn’t slow down merge times5 min read·Feb 22, 2024----
Dave FlynninIn the PipelineSpeed up pull request review for SQLMesh data projectsSQLMesh is a powerful ELT platform with features to help you iterate data pipelines with velocity. Do the same for your SQLMesh PR reviews!5 min read·May 9, 2024----
Dave FlynninIn the PipelineAnnouncement: Recce now integrates with SQLMesh bringing enhanced data validation and PR reviewSQLMesh users can take advantage of the enhanced data validation and PR review tools in Recce to catch data issues before merging2 min read·May 7, 2024----
Dave FlynninIn the Pipeline‘Thoughtful PR Review’ is now a requirement for data jobsPR review is the ‘ Point of no Return’ — The last checkpoint before code is merged and prod data is changed. How do you review yours?5 min read·Apr 30, 2024----
Dave FlynninIn the PipelineSo, you think you’ve got dbt test bloat?After a certain threshold, alert fatigue becomes an issue, especially when upstream issues trigger hundreds of downstream alerts5 min read·Apr 18, 2024----
Dave FlynninIn the Pipelinedbt best practices in action at Cal-ITP’s data-infra projectCal-ITP uses a standardized PR template and automated report for comprehensive PR review. See their process in-action with example PRs8 min read·Apr 18, 2024----
Dave FlynninIn the PipelineHistogram overlay charts for data impact assessment in dbt just got a whole lot easierThe best way to diff data profile stats like histogram and top-k is to plot them on a single chart, overlaid with shared axes4 min read·Mar 20, 2024----
Dave FlynninIn the PipelineWhen does proper data validation become a ‘must have’ for dbt projectsThere’s a threshold that’s crossed when proper data validation goes from something that’s ‘nice to have’, to something that’s a ‘must have’4 min read·Mar 18, 2024----
Dave FlynninIn the PipelineHow to use column value diff for data impact assessment in dbt with RecceColumn value diff is an essential stat for determining the level of impact that has occurred in a model following code change. The value…3 min read·Mar 14, 2024----
Dave FlynninIn the PipelineThe dbt PR-reviewer’s nightmareAs a PR reviewer for a dbt project you have the potentially daunting task ahead of reviewing a PR without being close to business context3 min read·Mar 13, 2024----