PyPI 官网下载 | dbt-bigquery-0.19.2.tar.gz

<p align="center"> <img src="/etc/dbt-logo-full.svg" alt="dbt logo" width="500"/> </p> **[dbt](https://www.getdbt.com/)** (data build tool) enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications. dbt is the T in ELT. Organize, cleanse, denormalize, filter, rename, and pre-aggregate the raw data in your warehouse so that it's ready for analysis. ## dbt-bigquery The `dbt-bigquery` package contains all of the code required to make dbt operate on a BigQuery database. For more information on using dbt with BigQuery, consult [the docs](https://docs.getdbt.com/docs/profile-bigquery). ## Find out more - Check out the [Introduction to dbt](https://dbt.readme.io/docs/introduction). - Read the [dbt Viewpoint](https://dbt.readme.io/docs/viewpoint). ## Join thousands of analysts in the dbt community - Join the [chat](http://community.getdbt.com/) on Slack. - Find community posts on [dbt Discourse](https://discourse.getdbt.com). ## Reporting bugs and contributing code - Want to report a bug or request a feature? Let us know on [Slack](http://community.getdbt.com/), or open [an issue](https://github.com/fishtown-analytics/dbt/issues/new). - Want to help us build dbt? Check out the [Contributing Getting Started Guide](/CONTRIBUTING.md) ## Code of Conduct Everyone interacting in the dbt project's codebases, issue trackers, chat rooms, and mailing lists is expected to follow the [PyPA Code of Conduct](https://www.pypa.io/en/latest/code-of-conduct/).