DBT
dbt (data build tool) is an open-source command-line tool and development framework for analytics engineers, used to transform raw data into structured, testable, and documented models in data warehouses and lakehouses. It enables version control, testing, and documentation of SQL transformations and is primarily used by data teams working with platforms like Snowflake, BigQuery, Redshift, and Databricks. The dbt Core CLI is the foundation of the dbt ecosystem, allowing users to define data pipelines as code and run them on a schedule or on-demand. It is widely adopted by analytics teams, data engineers, and organisations building modern data stacks.
AI Recommendation
1 suggestiondbt Core is distributed primarily as a Python package via pip and Homebrew, not as a traditional macOS application bundle with a graphical interface. The bundle ID com.duxburysystems.dbt suggests a packaged installer distribution. If you installed dbt as a standalone app rather than via pip or Homebrew, check whether Duxbury Systems (the vendor) has released an updated native Apple Silicon build. The search results do not provide clear evidence of the current architecture status. We recommend visiting the official dbt-labs GitHub repository or the dbt Discourse community to confirm whether a native Apple Silicon installer is available or planned. If you installed dbt via Homebrew, run 'brew upgrade dbt' to get the native build automatically — Homebrew has shipped native dbt packages for Apple Silicon since mid-2021. If you installed via pip, upgrade to the latest version using 'pip install --upgrade dbt-core' and your Python environment will handle the architecture correctly. The September 2028 macOS 28 Rosetta 2 removal deadline applies only if you are running an Intel-only installer; command-line tools via Homebrew or pip are architecture-agnostic.
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