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# Auditing data warehouse schema changes for lineage and policy drift

Inspect column dependencies and governance tags across pipeline pull requests before merging.

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Opens BotBento. Paste the prompt into a bot; nothing is preconfigured.

- When something happensPR opened with SQL model changes
- ThenInspect lineage and policy tags
- ResultPost PR audit after approval

Analyze proposed changes to data transformation pipelines by inspecting column-level lineage, schema drift, and data classification tags. Flag broken downstream dependencies and missing masking rules before changes reach production environments.

## Prompt to start with

BotBentoRecommended

```
When a pull request altering warehouse transformation models is opened, run validation commands in the terminal to trace column lineage and check data classification tags against governance policies. Prepare a summary report detailing affected downstream tables, potential masking omissions, and cost estimates. Ask for approval before posting review comments or updating the pull request status.
```

Copy

## Tools it uses

GitHubTerminalSlack

## Works with

BotBento

## Tags

- data engineering
- sql
- lineage
- governance
- ci-cd

## Source

[Show HN: Rocky – Rust SQL engine with branches, replay, column lineage](https://news.ycombinator.com/item?id=47935246)
Hacker News · checked 2026-10-16

Summarized in our own words. Any results described there are the authors’ own, not measured by BotBento.

By BotBento Editorial · Added 2026-10-16 · Updated 2026-10-16 · [Suggest a correction](/contact/)

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