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dbt Core is an open-source command-line tool published by dbt Labs, Inc., designed to help data analysts and engineers transform data directly within their data warehouse using modular SQL. The software follows the principle of building analytics the way engineers build applications, bringing established software development practices into the data transformation workflow. Its core capabilities include built-in support for version control, automated testing, and documentation, allowing teams to treat analytics code with the same rigor applied to application code. dbt Core fits within the data transformation and analytics engineering category, serving as a key component in modern data stacks where extract-load-transform (ELT) pipelines are common. Typical use cases include building reusable SQL data models, managing dependencies between transformations, validating data quality through tests, and generating documentation that keeps warehouse logic understandable across teams. Because transformations run inside the warehouse, the tool supports workflows where analysts define models in SQL while dbt Core handles compilation, execution order, and dependency resolution. The command-line interface makes it suitable for local development as well as integration into automated pipelines and scheduled jobs. The current version listed is 2.0.0-rc.2, a release candidate for the 2.0.0 major release, and the software has eight recorded versions, reflecting an active development history with multiple releases available. The release candidate designation indicates that this version is a pre-release intended for testing ahead of the final 2.0.0 launch. As an open-source project, dbt Core can be freely adopted by individuals and organizations seeking a structured, engineering-oriented approach to warehouse-based data transformation, and its modular SQL approach supports collaboration between analytics and engineering roles within a shared codebase.
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