Samenvatting
Der Artikel bietet eine praktische Anleitung für BI-Profis, um eigene Datenanomalie-Detektoren mit SQL zu erstellen. Es wird erörtert, wie Metadaten genutzt werden können, um die Ursachen von Datenqualitätsproblemen zu verstehen und die Wirksamkeit von Datenqualitätsprüfungen zu verbessern.
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