The previous blog post introduces a list of basic data quality rules that have been developed for my R&D data quality improvement initiative. Those rules are fundamental and essential for detecting data quality problems. However, those rules have existed since a long, long time ago and they are neither innovative nor exciting. More importantly, those … Continue reading dqops Data Quality Rules (Part 2) – CFD, Machine Learning →

To fulfil the promise I made before, I dedicate this blog post to cover the topic of Conditional Functional Dependency (CFD). The reason that I dedicate a whole blog post to this topic is that CFD is one of the most promising constraints to detect and repair inconsistencies in a dataset. The use of CFD … Continue reading Data Quality Improvement – Conditional Functional Dependency (CFD) →