Feature Fridays: Data Quality Monitoring

Join Us for Feature Fridays: Your Go-To Resource for AI-Powered Data Insights

In the rapidly advancing era of enterprise AI, staying informed and equipped is crucial. Our weekly series delivers tailored demos that focus on the most pressing topics affecting your organization today. With input from our Solutions Engineering team, we ensure every session is packed with actionable insights that matter to you and features you can get started with now.

This week’s topic: Data Quality Monitoring

• Data Quality Monitoring: Continuously track and assess data to ensure it remains accurate, consistent, complete, and reliable for enterprise and analytical purposes. DQM involves setting up automated checks, alerts, and validation rules to identify and rectify errors, inconsistencies, and anomalies in data.
• Customized Demo: Learn how to create a custom data metric function (DMF), associate DMF to a table for continuous monitoring, and query metric results from a centralized results table.
• Expert Guidance: Learn from Snowflake Senior Engineer Bryan Mutell, who will bring clarity and depth to this discussion.