Data Integration Blueprint and Modeling: Techniques for a Scalable and Sustainable Architecture

Chapter 15. Data Quality

This chapter covers those aspects of data quality that have not been covered to provide a complete view of data quality management and its influence on data integration.

Several chapters throughout this book have addressed data quality. In Chapter 2, “An Architecture for Data Integration,” data quality was defined as the commonly understood business and technical definition of data within defined ranges. In a prior chapter, flagging bad data quality was discussed through the definition and design of business and technical data quality checkpoints in the logical data quality data integration model using the Data Quality Criteria Workbook. Although identifying and flagging bad data quality is important, it is equally important ...