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This project forked from dbt-labs/dbt-bigquery

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dbt-bigquery contains all of the code required to make dbt operate on a BigQuery database. Extending the python model to allow custom container for dataproc serverless

Home Page: https://github.com/dbt-labs/dbt-bigquery

License: Apache License 2.0

Shell 0.32% Python 98.87% Makefile 0.40% Dockerfile 0.41%

custom-container-dataproc-serverless's Introduction

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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.

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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.

custom-container-dataproc-serverless's People

Contributors

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