Product demo. 
What is data observability? 
What is a data mesh--and how not to mesh it up 
The ULTIMATE Guide To Data Lineage Data Quality for Snowflake Customers
Scale data trust with your fast-growing business via automated, end-to-end data observability. The Snowflake – Monte Carlo integration makes it easy for data organizations to identify, resolve, and prevent data issues before they impact your downstream stakeholders.
100% table coverage, instantly
Get end-to-end data observability for your Snowflake data pipelines with a 20-minute, no-code implementation process.
Trusted data teams
Monte Carlo continuously monitors your Snowflake assets to enable your team to quickly detect and resolve data incidents as soon as they occur.
Higher data adoption
With greater data trust, Monte Carlo enables teams across your organization to adopt data products powered by Snowflake.
Know when data breaks, as soon as it happens
Monte Carlo’s ML-powered anomaly detection automatically monitors 100% of your Snowflake tables out of the box, and enables your data teams with opt-in monitors and monitors-as-code to track your most critical assets.
Find root cause, fast
Monte Carlo gives teams a single pane of glass to investigate data issues—including automated field-level lineage across your Snowflake pipelines—drastically reducing time to resolution.
Prevent data downtime
Monte Carlo gives your teams full visibility into your Snowflake pipelines and how they impact downstream reports and dashboards so they can make more informed development decisions.
