The article recounts a complex migration of four billion rows of data from an IBM DB2 mainframe to Azure, covering a 20-year accumulation of business-critical records. It details an eight-phase process focused on thorough preparation, data quality validation, and extensive dry runs, ultimately ensuring no data loss during the migration.