What dbt brings to data engineering:
Core capabilities that support modern data transformation
dbt provides powerful capabilities for transforming raw data into analytics‑ready models, with focus on modularity, testing, documentation, and version control. Key features include:
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- Modular SQL-based transformations enabling reusability and clarity of logic
- Built‑in tests for data integrity (uniqueness, not_null, relationships) to catch errors
- Documentation generation to ensure lineage, descriptions, and data catalog from source to model
- Version control (git integration) for collaboration, change tracking, and rollback safety
- Support for incremental models and materializations so that only changed data is processed

