Building a Scalable Data Pipeline with dbt Core and BigQuery

As data grows, maintaining clean and reliable SQL models becomes a challenge. That is where dbt (data build tool) comes in, bringing software engineering best practices to SQL development.

Why dbt Core + BigQuery?

BigQuery provides the serverless, highly-scalable storage and computing engine, while dbt manages the transformation DAG (Directed Acyclic Graph), testing, and documentation.

Setting Up CI/CD

By integration dbt runs into GitHub Actions, you can ensure that every pull request runs data quality tests before merging models to your production dataset.