# Delivering End-to-End Data Trust with Snowflake and Monte Carlo

DevFeed: [Delivering End-to-End Data Trust with Snowflake and Monte Carlo](<https://devfeed.tech/articles/delivering-end-to-end-data-trust-with-snowflake-and-monte-carlo-83126.md>)

Original publisher: [Read original article](<https://montecarlo.ai/blog-snowflake>)

Author: Scott O'Leary

Published: 2021-04-29T14:58:37Z

Content type: news

Language: en

Sources: [Monte Carlo](<https://devfeed.tech/sources/monte-carlo.md>)

Topics: [Snowflake streaming data architecture](<https://devfeed.tech/topics/snowflake-streaming-data-architecture.md>), [DataOps](<https://devfeed.tech/topics/dataops.md>)

Tags: [announcements](<https://devfeed.tech/tags/announcements.md>), [data-observability](<https://devfeed.tech/tags/data-observability.md>), [data-trust](<https://devfeed.tech/tags/data-trust.md>), [snowflake](<https://devfeed.tech/tags/snowflake.md>)

## AI overview

Monte Carlo and Snowflake announced a partnership to provide data observability for Snowflake pipelines. The integration monitors freshness, volume, distribution, schema, and lineage, alerts teams to data issues, and helps them identify root causes and downstream impacts.

## Source excerpt

With Monte Carlo and Snowflake's strategic partnership, teams can finally trust their data through end-to-end Data Observability.