Comprehensive Data Quality and Governance Framework

Create an end-to-end data quality management framework that integrates automated data profiling, validation, and governance mechanisms. Develop a modular approach that can automatically detect data quality issues, recommend data cleansing strategies, and maintain a comprehensive data lineage and metadata repository. Include advanced techniques for handling data drift, managing data privacy compliance, and creating adaptive data quality rules.