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Spring Boot Service Conventions for Java Teams
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Use this resource to design reliable, tested data pipelines
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In a terminal, from the folder you want:
npx --yes palatekit@latest install data-pipeline-engineering-rulesFirst time: connect the CLI with
npx --yes palatekit@latest loginThe prompt sets about twenty rules for a pipeline: ELT, separate layers, versioned dbt models, idempotent jobs, uniqueness and referential tests, freshness alerts, UTC timestamps and one owner per metric. Each rule carries a confidence score. You get a checklist to follow or to hand to an agent for a data-project review.
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Updated November 2, 2026
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“Review this dbt model and tell me where a dashboard still reads a raw table.”

Prompt published by f under the CC0-1.0 license, delivered in its original version.
Listed unmodified
« Data Pipeline taste » (f, CC0-1.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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