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Filters data during model execution to reduce processing volume for faster development cycles.
Distinct from Statistical Sampling: Distinct from Statistical Sampling: focuses on developer-controlled data filtering for iteration speed rather than general statistical subsetting.
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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
Allows filtering data during model execution using time ranges to speed up development cycles.