Google BigQuery Transformation
Run SQL against Google BigQuery in Keboola. Start here, then jump to the how-to or the reference.
A BigQuery transformation runs your SQL against Google BigQuery — a fully managed, serverless, auto-scaling data warehouse — while Keboola handles input/output mapping to and from Storage. It suits analytics over large datasets and integrates with the wider Google Cloud ecosystem.
This page is split by what you need:
- How do I run a BigQuery transformation? — create, configure, and run one end to end, with a worked example and troubleshooting.
- BigQuery transformation reference — query limits, the abort variable, data-type casting, and user-defined functions.
New to transformations in general? Start with Transformations and the Getting Started tutorial. For BigQuery limitations specific to Keboola, see BigQuery Limitations.