Data Testing
Event-driven architectures built on Apache Kafka have become the standard for real-time data processing. But testing streaming systems is fundamentally different from testing request-response applications. Events are asynchronous, ordering matters, and failures manifest as silent data loss rather than obvious errors. This guide covers practical strategies for
Testing
SQLMesh is a SQL transformation framework that competes with dbt but adds first-class testing, change management, and virtual data environments. Its testing model is notably different from dbt's: unit tests run against in-memory DuckDB without a warehouse, audits run post-deployment assertions, and the sqlmesh plan
Data Testing
Extract, Transform, Load (ETL) pipelines are the backbone of modern data infrastructure. When they break—silently corrupting data rather than failing loudly—the consequences ripple through every dashboard, report, and decision your organization makes. ETL testing is how you prevent that. This guide covers the strategies, frameworks, and tools QA
Testing
Elementary is an open-source dbt package that adds data observability to your existing dbt project. It turns dbt models into monitored data assets: tracking volume changes, schema changes, freshness, and statistical anomalies in column distributions — without changing your existing dbt tests. Where dbt's built-in tests (not_
Data Testing
Data warehouses are where your organization's most important decisions get made. Board reports, investor metrics, operational dashboards—they all pull from your warehouse. When the data is wrong, so are the decisions. Data warehouse testing is the discipline that ensures your analytical data is accurate, complete, and reliable.
Data Testing
Software engineers have spent decades building CI/CD practices that make deployments safe and reliable. Data engineers are catching up—and the lessons transfer directly. A data pipeline CI/CD system automatically tests every change before it reaches production, catches regressions before they corrupt your warehouse, and gives teams the
Testing
Recce is a dbt change review tool that answers one question: what did this PR actually change in the data? When you modify a dbt model, your CI runs dbt tests and they pass — but that only tells you the data is valid, not whether it changed. Recce builds the