End-to-End Data Quality Framework Explained | Credit Card Migration | Excel + SQL + PPT скачать в хорошем качестве

End-to-End Data Quality Framework Explained | Credit Card Migration | Excel + SQL + PPT

In this video, I explain a real-world Data Quality (DQ) and Quality Assurance (QA) framework used in banking projects where 1 million+ credit card transaction records are migrated daily from Oracle Flexcube to Databricks Data Lake. This scenario is commonly asked in QA Automation, Data Engineering, and Banking domain interviews. In this video, you will learn: • How to validate 1M+ migrated records • Completeness Check (Row count validation) • Accuracy & Validity Check (Aggregate and hash validation) • Consistency Check (Duplicate and schema validation) • Timeliness Analysis (Load date and SLA validation) • Outlier & Anomaly Detection (Fraud and abnormal transaction detection) I have also demonstrated: • Real SQL Queries used in migration validation • Excel Validation Templates • PowerPoint Dashboard Reporting • End-to-End Migration Architecture This framework is used in real banking migration projects involving Oracle Flexcube and Databricks. This video is especially useful for: • QA Engineers • Data Engineers • ETL Testers • Banking Domain Professionals • Interview Preparation If you found this helpful, please Like, Share, and Subscribe for more real-time project explanations. #DataQuality #DataEngineering #QA #Databricks #OracleFlexcube #ETLTesting #BankingProject #InterviewPreparation