PinnedDave Flynndbt 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 PRsApr 18Apr 18
Dave FlynnIt’s Time for a dbt Data-Review RevolutionData Engineers and non-technical stakeholders can review data togetherJul 25Jul 25
Karen HsiehFrom Talk to Action: Reviewing What Prevents You from Raising Data QualityMany people talk about data quality but don’t act. Tiankai Feng stated that “data quality management starts with human responsibility and…Jul 18Jul 18
Dave FlynnLeverage Node-Selection for Data Validation Checks in dbt PR ReviewsAutomate data checks on resource groups for comprehensive dbt PR reviewJul 10Jul 10
Karen HsiehEnsuring End-to-End Data Quality with dbt — How Migo did itLearn how Migo, a customer marketing platform, makes use of modern data tools and methods to ensure data quality on model changes before…Jul 5Jul 5
Dave FlynnHow was this tested? A guide to validating models for dbt projectsWhen it comes to checking data after modeling changes, what steps do you take?Jun 26Jun 26
Dave FlynnIdentify and Automate Data Checks on Critical dbt ModelsDo you know which are the critical models in your data project? Business critical models or possible breakpoints need to be checked every…Jun 20Jun 20
Dave FlynnHow to use a Makefile to speed up your dbt project workflowLearn how to use a makefile to reduce dbt command fatigue and group related commands for easy reuse and sharing.Jun 132Jun 132
Dave FlynnYou’re running dbt in CI, now what?PR schemas provide a data-airlock so that you have a safe space to check and validate your changes before merging to prodJun 71Jun 71
Dave Flynndbt Pull-Request Data Audit in GitHub Codespaces for FreeAudit any PR in your dbt data project with GitHub Codespaces following the write-audit-publish processMay 30May 30
