Webinar On-Demand
Using Alation’s Data Quality Processor (DQP) and Snowflake’s Data Metric Functions (DMFs) you can automate data quality checks, centralize intelligence, and provide teams with reliable, AI-ready data. Together, with Anblicks, we’ll showcase proven strategies, grounded in both practical experience and leading research, for implementing these solutions at scale.
What You’ll Learn:
Eliminate Complexity and Risk: Discover how Alation DQP works seamlessly with Snowflake to reduce fragmentation and ensure end-to-end data governance.
Proven AI Data Quality Framework: Hear real-world lessons from Anblicks on building an AI governance blueprint, aligned with Snowflake’s data quality best practices leveraging the Anblicks 60+ custom Snowflake DMF’s
Enhanced Collaboration in Snowflake’s AI Data Cloud: Streamline discovery across departments, unify data management and maintain robust security and compliance throughout your data lifecycle.
Advanced Data Quality Monitoring: Learn how Snowflake’s DMFs deliver out-of-the-box metrics while Alation’s DQP provides intelligent governance workflows and cross-team collaboration.
Unified data intelligence creates a single source of truth for AI projects. Don't miss this chance to learn how trusted data can help your AI projects succeed. Watch now to take your first step towards smarter, more effective AI use in your company.
Whitepaper
As AI utility increases, organizations are rethinking how they monitor and maintain data quality at scale to deliver trusted data for confident decisions. But traditional approaches often fall short—failing to keep up with chaos of data sprawl, silos, and ever-growing business demand.
Webinar Registration
Poor data quality costs organizations millions in lost trust, wasted time, and bad decisions. Traditional data quality approaches are manual, slow, and often miss what matters most.
Datasheet
See how Alation and Snowflake work together to accelerate your cloud transformation. This powerful combination enables faster migrations, democratizes data access across teams, and streamlines data product development.