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DataFreemiumOpen Source
DBT
Transform data in your warehouse with software engineering best practices
Apache-2.0
ABOUT
Data transformation workflows are often messy, ungoverned, and lack software engineering discipline like version control, testing, and documentation. dbt applies these best practices to analytics workflows by letting analysts write modular SQL select statements that dbt compiles into tested, documented tables and views across any major data warehouse.
INSTALL
pip install dbt-coreINTEGRATION GUIDE
1. Build modular, tested, and version-controlled SQL data pipelines in your warehouse
2. Collaborate on data models with interactive lineage and column-level dependency tracing
3. Automate data quality testing and auto-generate documentation for analytics datasets
4. Deploy and monitor data transformations in production with built-in CI/CD support
5. Centralize analytics code with governance guardrails to produce AI-ready clean datasets
TAGS
data-transformationanalytics-engineeringsqldata-pipelinesetldata-warehousepython