Proactive Data Monitoring With DataHub Cloud

Catch Issues Before Dashboards or AI Apps Break

  • January 22, 2026
  • 9:00 AM – 9:45 AM PST
Illustration of a smart data assertion interface with visibility icon, representing automated checks and data observability.

Join Our Live Demo

Get a technical deep dive into DataHub Cloud’s intelligent data observability and automated quality monitoring capabilities.

In this 45-minute session, we’ll walk through how DataHub Cloud proactively detects data issues before they impact your business, using AI-powered anomaly detection and automated quality assertions. You’ll see live demonstrations of incident management workflows, real-time monitoring dashboards, and how to reduce incident resolution time from hours to minutes. Includes live Q&A to address your specific data quality and reliability challenges.

What you’ll learn

Experience DataHub Cloud with live demos of:

  • Automated data quality monitoring across schema, freshness, volume, and custom checks
  • AI-powered anomaly detection that catches subtle issues rule-based checks miss
  • Bulk column assertions with smart test selection for instant coverage across hundreds of columns
  • Proactive alerting to detect issues before dashboards break or AI applications fail
  • Column-level lineage for instant impact analysis and blast radius assessment
  • Incident management dashboard with root cause analysis capabilities
  • Smart alerting that routes notifications to the right owners via Slack, Teams, or email with full context
  • Data contracts to enforce quality expectations between producers and consumers
  • SLA compliance tracking and data health scores across your entire estate

Plus live Q&A to address your specific data observability and incident resolution challenges.

Speakers

Marty St. John

Sales Engineer

DataHub

Register Now