Part 5/13:
2. Automated Data Quality and Data Drift Detection
AI techniques facilitate automatic detection of data quality issues—missing values, outliers, or unexpected patterns. Furthermore, models can predict potential data drift, allowing teams to preemptively adjust pipelines, reducing downtime and manual troubleshooting.
3. End-to-End Data Lineage and Root Cause Analysis
Advanced AI-powered tools provide detailed data lineage visualization—tracking data from source to destination even through complex transformations. When issues arise, AI assists in pinpointing the root cause swiftly, such as identifying if a schema change in a source system caused downstream failures.