Building Trusted Data Pipelines: Data Matching in Medallion Architecture

Your pipeline ran successfully. The dashboards refreshed. The data reached Gold. But one question still matters: did the data actually stay correct along the way? Modern data platforms like Databricks popularized the Medallion architecture — where data moves from Bronze → Silver → Gold through transformations and enrichment. Yet many organizations still rely on row counts, sampling, and basic validation checks that confirm data moved, not that the right data moved correctly. In this webinar, we explore how data matching and reconciliation can validate data as it moves across medallion layers — helping teams build pipelines that deliver trusted, provable results.