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Show HN: Fitness Functions for Dbt Projects

By bartschuijt 1 min read 1 views 0 comments

Managing data transformation (e.g. dbt) projects at scale can be challenging: DAG violations, that one model that grew to 2K lines, duplicated logic.Inspired by the book 'Building Evolutionary Architectures' I built tff to help data transformation projects evolve in a desired direction. It comes with a github bot that you can plugin to your CI pipeline.It aims to let transformation projects evolve in the desired direction by:
* ensuring layer boundary integrity;
* detect duplicate CTE logic;
* catch violations locally and in CICore concepts: rules apply to models; checks apply to architecture and DAG checks.Curious to read what you think. What can be improved? What's missing?

Comments URL: https://news.ycombinator.com/item?id=50294526

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