dbt 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 enabling dbt to work with Google BigQuery. For
more information on using dbt with BigQuery, consult the docs.
Getting started
- Install dbt
- Read the introduction and viewpoint
Join the dbt Community
- Be part of the conversation in the dbt Community Slack
- Read more on the dbt Community Discourse
Reporting bugs and contributing code
- Want to report a bug or request a feature? Let us know on Slack, or open an issue
- Want to help us build dbt? Check out the Contributing Guide
Code of Conduct
Everyone interacting in the dbt project's codebases, issue trackers, chat rooms, and mailing lists is expected to follow the dbt Code of Conduct.
1 maintainer
Release files for dbt-bigquery-velocity 1.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dbt-bigquery-velocity-1.1.0.tar.gz | 31.0 kB | Details |
Release files / dbt-bigquery-velocity-1.1.0.tar.gz
| Download URL | dbt-bigquery-velocity-1.1.0.tar.gz |
|---|---|
| Size | 31.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
1c497dda317c3c39b83e8bbc3834bffd95293a9ec86bc906d6528d6b73363d4f
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.8
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