{"categories":[{"label":"Database","url":"https://skillfed.io/packages/category/database"}],"enrichment":{"capability":"dbt-bigquery is a dbt adapter that enables data transformation workflows in Google BigQuery, allowing analysts and engineers to organize, cleanse, and prepare raw warehouse data using dbt's SQL and YAML-based practices.","skillfed_tags":["data-transformation","elt-pipeline","bigquery"],"use_cases":["Build repeatable SQL transformation pipelines in BigQuery with version control and testing, replacing manual SQL scripts.","Organize raw warehouse data into clean, denormalized tables ready for BI tools and analytics.","Collaborate on data models across teams using dbt's YAML documentation and lineage tracking.","Automate incremental data loads and refresh schedules in BigQuery without writing custom orchestration.","Integrate BigQuery transformations into dbt Cloud for scheduling, monitoring, and CI/CD workflows."],"what_it_does":"dbt-bigquery is a plugin that connects dbt (a data transformation framework) to Google BigQuery, enabling teams to build and maintain data pipelines using SQL and YAML configuration rather than procedural code. It sits in the 'T' (transform) layer of ELT workflows, taking raw data already loaded into BigQuery and reshaping it for analysis through version-controlled, testable transformation logic.\n\nThe package bundles dbt-core with BigQuery-specific connection handling, authentication via Google Cloud libraries (google-auth, google-cloud-bigquery, and others), and integration with BigQuery's compute and storage. It supports Python 3.10, 3.11, 3.12, 3.13 and is actively maintained by dbt Labs, with a permissive Apache license and no known security vulnerabilities.","worth_installing":"Yes. dbt-bigquery is production-stable, actively maintained, and widely adopted (top 5000 PyPI packages). It has low install friction, no security vulnerabilities, and a permissive license. Install it if you use BigQuery and want to adopt dbt's SQL-based transformation practices; skip it if you prefer procedural data pipelines or are not yet using BigQuery."},"id":"dbt-bigquery","links":{"html":"https://skillfed.io/packages/dbt-bigquery","md":"https://skillfed.io/packages/dbt-bigquery.md","pypi":"https://pypi.org/project/dbt-bigquery/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-16","license_spdx":null,"license_treatment":"permissive","name":"dbt-bigquery","python_support":"supports_current","summary":"The BigQuery adapter plugin for dbt"},"popularity":{"monthly_downloads":5989402,"position":1995,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.12.0"}