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SQLMesh is a next-generation data transformation framework designed to ship data quickly, efficiently, and without error. Data teams can efficiently run and deploy data transformations written in SQL or Python with visibility and control at any size.
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SQLMesh is a next-generation data transformation framework designed to ship data quickly, efficiently, and without error. Data teams can run and deploy data transformations written in SQL or Python with visibility and control at any size.
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It is more than just a [dbt alternative](https://tobikodata.com/reduce_costs_with_cron_and_partitions.html).
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* Definitions using [simply SQL](https://sqlmesh.readthedocs.io/en/stable/concepts/models/sql_models/#sql-based-definition) (no need for redundant and confusing `Jinja` + `YAML`)
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* See impact of changes before you run them in your warehouse with column-level lineage
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For more information, check out the [website](https://sqlmesh.com) and [documentation](https://sqlmesh.readthedocs.io/en/stable/).
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For more information, check out the [website](https://www.tobikodata.com/sqlmesh) and [documentation](https://sqlmesh.readthedocs.io/en/stable/).
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## Getting Started
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Install SQLMesh through [pypi](https://pypi.org/project/sqlmesh/) by running:
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cd sqlmesh-example
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python -m venv .venv
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source .venv/bin/activate
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pip install 'sqlmesh[lsp]' # install the sqlmesh package with extensions to work with VS Code
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pip install 'sqlmesh[lsp]' # install the sqlmesh package with extensions to work with VSCode
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source .venv/bin/activate # reactivate the venv to ensure you're using the right installation
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sqlmesh init duckdb # get started right away with a local duckdb instance
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sqlmesh plan # see the plan for the changes you're making
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cd sqlmesh-example
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python -m venv .venv
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.\.venv\Scripts\Activate.ps1
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pip install 'sqlmesh[lsp]' # install the sqlmesh package with extensions to work with VS Code
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pip install 'sqlmesh[lsp]' # install the sqlmesh package with extensions to work with VSCode
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.\.venv\Scripts\Activate.ps1 # reactivate the venv to ensure you're using the right installation
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sqlmesh init duckdb # get started right away with a local duckdb instance
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sqlmesh plan # see the plan for the changes you're making
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