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Awesome GitHub RepositoriesTransformation Logic Testing
Verifies SQL model transformations against static input datasets.
Distinct from Model Testing: Distinct from Model Testing: focuses on SQL transformation logic verification rather than machine learning model evaluation.
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Awesome Transformation Logic Testing GitHub Repositories
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- dbt-labs/dbt-core
dbt-labs/dbt-core
13,051在 GitHub 上查看dbt-core is a command-line framework for transforming data within a warehouse using modular SQL and version control. It functions as a data transformation engine that enables users to define data structures and business logic through declarative configuration files, which the system then compiles into executable code. By managing complex data dependencies through a directed acyclic graph, it ensures that transformation tasks execute in the correct order while maintaining a manifest-driven state to track lineage and execution history. The project distinguishes itself through an adapter-based d
Verifies SQL model transformations against static input datasets to ensure accuracy and reliability of data logic.
Rustanalyticsbusiness-intelligencedata-modeling
