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Commits, branches and sync with the but CLI
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- Claude Code
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Use this resource to build an enterprise ELT pipeline with SSIS, SQL Server and PySpark
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In a terminal, from the folder you want:
npx --yes palatekit@latest install ssis-pyspark-warehouse-pipelineWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent prepares SQL Server and the Python dependencies, creates the SSIS project and its package flow, then loads the fact and dimension tables. It adds pandas quality audits and PySpark aggregations. You get a star-schema warehouse fed from CSV files.
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Updated November 2, 2026
You say
“Create the SSIS flow that loads the sales CSV files into the fact table.”

Skill published by reason-machines under the MIT license, delivered in its original version.
Listed unmodified
« enterprise-data-engineering-pipeline-ssis-pyspark » (reason-machines, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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