How to Perform Row Count Reconciliation?

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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