🧙 Build, run, and manage data pipelines for integrating and transforming data.
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Updated
Jul 3, 2024 - Python
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Compare tables within or across databases
⚡ Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io
Efficient data transformation and modeling framework that is backwards compatible with dbt.
do more with dbt. dbt-fal helps you run Python alongside dbt, so you can send Slack alerts, detect anomalies and build machine learning models.
dbt (http://getdbt.com) adapter for DuckDB (http://duckdb.org)
🎣 List of `pre-commit` hooks to ensure the quality of your `dbt` projects.
Run your dbt Core projects as Apache Airflow DAGs and Task Groups with a few lines of code
Code review for data in dbt
dbt + Metabase integration
dbt package that is part of Elementary, the dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.
Example DAGs using hooks and operators from Airflow Plugins
Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow
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