Maintaining data consistency across different tables is crucial for accurate analysis and reporting. This video showcases how iceDQ’s Row Count Reconciliation functionality empowers you to:
Automate count comparisons: Effortlessly compare data volume between source and target tables, ensuring data integrity during reconciliation processes.
Identify discrepancies instantly: iceDQ automatically flags mismatches between row counts, allowing you to address potential data quality issues efficiently.
Simplify data management: Streamline inventory reconciliation and other data validation tasks by leveraging iceDQ’s intuitive rules and automated checks.
Learn how to:
Set up a checksum rule for row count comparison.
Establish connections to source and target tables.
Interpret rule results and identify discrepancies.
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