Standardized transformation processes in the data warehouse
The data transformation tool (dbt-core) enables data analysts and engineers to perform data transformation using methods similar to software development processes. It standardizes analytical workflows by integrating version control and testing processes into data warehouses.
Updates
- September 9, 2026: Stars 13,791 → 13,793, latest release v1.12.4 (September 8, 2026).
- September 8, 2026: Stars 13,673 → 13,791, latest release v1.11.15 (September 8, 2026).
- August 21, 2026: Stars 13,672 → 13,673, latest release v1.12.3 (August 21, 2026).
- August 20, 2026: Stars 13,646 → 13,672, latest release v1.11.14 (August 20, 2026).
What you get
- Data transformation with software development practices
- Relationship management between data models
- Data quality control with automated tests
Installation
pip install dbt-coreRunning it
dbt runGetting started
You can access the installation guide by visiting the official dbt documentation page. You can choose one of the dbt Core or Fusion options according to your needs and follow the installation steps on your local computer.
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-06-28: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.