Newest first, grouped by year. Search or filter by topic.
KC Star V4 puts a DataQualityScore on every dimension and fact, defaulting to a perfect 1.0 and downgrading only on evidence. Here is the opt-out philosophy, the assessment procedures behind it, and the one query that finds every row the warehouse doesn't quite trust.
Through V3, KC Star assumed every number it was fed was true. V4 stops assuming - adding data quality scores, lineage, and performance monitoring so the warehouse can say how much it trusts its own data. Kicking off the data governance series.
An average with no denominator is a number you can't defend. KC Star V3 adds a FactCount column to every aggregate - how many facts went into this rollup - turning each stored aggregate into something you can audit rather than just trust.
