patterns

Learn how to standardise logging in dbt macros for clear, consistent CLI output. This guide shows you how to create a reusable logging macro, making debugging and tracking macro activity in your dbt projects easier and more efficient.

Automate PII tagging in your dbt project using OpenAI! Streamline data governance, ensure compliance, and save time by leveraging AI to detect and flag sensitive information in your data models. Integrate this workflow into CI/CD for robust, scalable data protection.

Learn how to run dbt pipelines with Apache Airflow and Docker. This guide covers setup, code examples, and best practices to help you automate, schedule, and scale your data workflows efficiently—perfect for data engineers seeking robust pipeline orchestration.

If people don’t trust the work of the analytics engineering team, then all the effort you put in doesn’t matter. One of the best ways is by using test-driven development (TDD).

Explore the pros and cons of dbt monorepo vs multi-repo setups. Learn when to use each for scalable, collaborative analytics engineering workflows.

Follow a real-world journey from ETL to ELT. Learn how a modern data team overcame bottlenecks and scaled fast using cloud warehouses and dbt.