docs: add FinTech data quality framework use case guide - #347
Open
mitalidaduria wants to merge 14 commits into
Open
docs: add FinTech data quality framework use case guide#347mitalidaduria wants to merge 14 commits into
mitalidaduria wants to merge 14 commits into
Conversation
Expanded the metadata standard documentation to include detailed explanations of machine learning concepts such as model drift, data lineage, feature engineering, label skew, and data quality SLA.
add business-friendly ML glossary with payments domain examples
… and styling per review
ayush-shah
reviewed
Jul 21, 2026
| <a href="https://openmetadatastandards.org/" target="_blank" rel="noopener noreferrer" className="link">Visit openmetadatastandards.org</a> | ||
|
|
||
| You'll find quick starts, schema references, semantic web resources, and contribution guides on the official site. | ||
| ## Machine Learning & Data Governance Expansion |
Member
There was a problem hiding this comment.
docs.json redirects this modified route to the unchanged canonical v1.13.x/api-reference/main-concepts/metadata-standard page, so none of this replacement is published; the PR also adds no FinTech guide matching its title. Add the guide under a current versioned path with frontmatter and register it in docs.json, and revert this redirected duplicate.
ayush-shah
reviewed
Jul 27, 2026
ayush-shah
left a comment
Member
There was a problem hiding this comment.
Defect-first review on head cc1f8a0:
- [P1] Resolve the
docs.jsonconflict. Conflict markers at lines 1495–1507 make the file invalid JSON, so Mintlify cannot load navigation. Retain the intended page entry and the existing Bulk Import group. - [P2] Register a publishable guide path. The new navigation target does not exist; the guide is under
content/main/...without page frontmatter. Move it to the registered versioned path with frontmatter or register an existing publishable path. - [P2] Use a referential-integrity test for orphan records.
columnValuesToNotBeNullonly rejects nulls; an orphan key can be non-null while lacking a parent. Use a custom SQL or referential comparison and keep null validation separate. - [P2] Replace the nonexistent freshness test.
tableRowCountToBeGreaterThanis unavailable, and row count does not compare event time with ingest time. Use a supported freshness test or concrete SQL overMAX(created_at). - [P2] Remove the unrelated glossary change. The canonical metadata-standard file adds an ML glossary unrelated to this FinTech guide and overlaps #331. Revert it from this PR.
Validation: jq fails on the current docs.json; the navigation target and test-definition searches were checked against the exact head.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
This PR adds a comprehensive 'FinTech Data Quality Framework' guide to the documentation under data quality features.
It outlines how to handle 3 critical financial data failure modes (settlement mismatches, orphaned records, and latency violations) using OpenMetadata's native profiling and test suites (such as
columnValuesToBeBetween,columnValuesToBeUnique, and null prevention tests). This bridges platform capabilities with a highly requested industry use case.