Data Quality: Concepts, Methodologies and Techniques (Data-Centric Systems and Applications)
Comprehensive overview of data quality concepts, methodologies and techniques in data-centric systems. Highlights structured approaches to manage data quality with practical insights. customer insight: mixed/neutral sentiment about content depth
Highlights
- concepts and techniques overview
- data-centric focus
- methodological guidance
Pros
- comprehensive data quality coverage
- focus on concepts and methodologies
- applicable to data-centric systems
Cons
- limited customer insights available
- no features listed for quick scanning
- contains multiple authors which may affect focus
