Overview
TrueNFalse helps generate comprehensive Data Monitoring Reports to ensure your data pipelines produce accurate and consistent results. Reports cover row and column counts, aggregation validation, mismatch detection, and sampling of large datasets.
Key Report Features
1. Row and Column Count
Quickly verify that source and target datasets have the same number of rows and columns.
2. Data Aggregation Report
Summarizes key metrics like sum, average, min, max, and count to validate aggregated data consistency.
3. Data Mismatch Detection
Identify missing, extra, or altered data with detailed column-level comparisons.
4. Random Sample Checks
Perform random or stratified sampling to validate representative subsets of large datasets.
5. Data Quality Metrics
Null value analysis, duplicate detection, and format checks help identify data quality problems early.
6. Automated Reporting
Generate structured, exportable reports in HTML, PDF, or CSV formats for auditing and review.
7. Alerts & Notifications
Receive alerts automatically when mismatches or anomalies exceed predefined thresholds.
Benefits
- Comprehensive visibility into dataset comparisons
- Automated validation reduces manual efforts
- Handles large-scale datasets efficiently
- Exportable and audit-ready reports
- Detect data integrity issues early
Use Cases
- Post-ETL validation and reporting
- Pre- and post-migration dataset comparison
- Monitoring vendor or client data feeds
- BI and analytics pipeline validation
- Compliance and data auditing automation