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Unlock comprehensive data visibility with the enhanced Data Quality Monitor in the Datagaps DataOps Suite! This webinar snippet explores three major updates: Unity Catalog integration, advanced data lineage, and data model profiling. Learn how to fetch and analyze tables from Unity Catalog, track data flow with table and column-level lineage, and uncover anomalies through detailed profiling. These features provide deep insights into data quality, transformations, and compliance, empowering you to maintain high-quality data across your pipelines. Watch the live demo to see these capabilities in action! Watch the full webinar for an in-depth look at these enhancements and more: • Datagaps Spring 2025 Product Innovation Up... Key Moments: 0:05 - Introduction to Data Quality Monitor updates 0:08 - Unity Catalog integration for table fetching 0:25 - Analyzing data quality scores for catalog tables 0:42 - Enhancing visibility and compliance 0:49 - Data lineage for tracking data flow 1:08 - Table and column-level lineage views 1:27 - Data model profiling for anomaly detection 2:05 - Live demo of Unity Catalog integration 2:45 - Viewing tables and rules from Unity Catalog 2:51 - Run history and data quality scores 3:40 - Demo of data model profiling 4:02 - Analyzing profile values (min/max length, distinct count) 4:34 - Data lineage demo for table-level insights 5:07 - Tracking data flow across raw, staging, and mart layers 5:59 - Column-level lineage for granular visibility 6:48 - Navigating multi-level lineage views 7:35 - Contact and demo information For more details or to request a free demo Links: Visit us: https://hubs.la/Q02MkVjk0 For inquiries: [email protected] or scan the QR code in the video.