# Using Amundsen to Support User Privacy via Metadata Collection at Square

DevFeed: [Using Amundsen to Support User Privacy via Metadata Collection at Square](<https://devfeed.tech/articles/using-amundsen-to-support-user-privacy-via-metadata-collection-at-square-15939.md>)

Original publisher: [Read original article](<https://developer.squareup.com/blog/using-amundsen-to-support-user-privacy-via-metadata-collection-at-square>)

Author: Alyssa Ransbury

Published: 2020-07-14T19:00:00Z

Content type: article

Language: en

Sources: [Square Corner Blog RSS Feed](<https://devfeed.tech/sources/square-corner-blog-rss-feed.md>)

Topics: [data](<https://devfeed.tech/topics/data.md>), [data-processing](<https://devfeed.tech/topics/data-processing.md>), [graph-database](<https://devfeed.tech/topics/graph-database.md>), [pii](<https://devfeed.tech/topics/pii.md>), [BigQuery](<https://devfeed.tech/topics/bigquery.md>), [MySQL](<https://devfeed.tech/topics/mysql.md>), [App](<https://devfeed.tech/topics/app.md>)

Tags: [bigquery](<https://devfeed.tech/tags/bigquery.md>), [collection](<https://devfeed.tech/tags/collection.md>), [data](<https://devfeed.tech/tags/data.md>), [database](<https://devfeed.tech/tags/database.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [graph-database](<https://devfeed.tech/tags/graph-database.md>), [lyft](<https://devfeed.tech/tags/lyft.md>), [mysql](<https://devfeed.tech/tags/mysql.md>), [netflix](<https://devfeed.tech/tags/netflix.md>), [pii](<https://devfeed.tech/tags/pii.md>), [privacy](<https://devfeed.tech/tags/privacy.md>)

## AI overview

Square describes using its own version of Amundsen to automate metadata collection and improve understanding of data stored, collected, and processed across many services while supporting user privacy. The system ingests schema information from Snowflake, BigQuery, and MySQL into a graph database, enabling search and richer column-level metadata such as PII semantic types and data storage security.

## Source excerpt

More scalable, automated data insights while preserving users' privacy