Read Outbound BigQuery Tables With Bauplan

Read outbound BigQuery tables from a Bauplan pipeline. Full walkthrough: GCP service account, credential handoff, pipeline, CLI run, job validation. This demo covers the end-to-end path for giving Bauplan read access to a BigQuery table. We start in the Bauplan docs, then create a service account in the GCP IAM console, scope it to the dataset we want to read, and download the key as JSON. That credential is stored in AWS Parameter Store on the Bauplan side, which is what gives your Bauplan user read access at pipeline runtime. From there we write a short pipeline using the BigQuery connector, run a dry run from the CLI, and get back an Arrow table. We finish in the Bauplan UI, where the Jobs section shows the run, the logs, and the exact code that executed. Chapters 0:00 - What we're covering 0:17 - BigQuery outbound docs page 0:38 - Creating a service account in GCP IAM 2:15 - Running a dry run from the CLI Try Bauplan: https://app.bauplanlabs.com/ Helpful Links: 📚 Official Documentation: https://docs.bauplanlabs.com 💻 GitHub Repo: https://github.com/BauplanLabs/ 🌐 Bauplan Homepage: https://bauplanlabs.com 📄 Technical Blog: https://www.bauplanlabs.com/blog 📣 Follow Us: Twitter: https://x.com/Bauplan_labs LinkedIn: https://www.linkedin.com/company/bauplanlabs/ #bigquery #dataengineering #bauplan