June 2009
Beginner to intermediate
428 pages
9h 48m
German
Content preview from Data Mining mit Microsoft SQL Server
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Kapitel 3. Überlegungen zur Datenvorbereitung
In diesem Kapitel:
Handhabung von Einträgen 48
Handhabung von Attributen 49
Fehlende und ungenaue Werte 50
Strukturelle Anpassungen 50
Zusammenfassung 51
Daten werden für gewöhnlich nicht direkt in den operativen Systemen, in denen sie anfallen, analysiert. Da Miningverfahren aufwändig sind, würde dies diese Systeme unnötig belasten. Stattdessen werden die zu analysierenden Daten in der Regel in ein Data Warehouse übergeführt. Unter Data Warehouse versteht man eine Datenbank, welche Daten in einer für Auswertungen geeigneten Form speichert. Es ist nicht selten der Fall, dass ein Data Warehouse Daten aus unterschiedlichen operativen Datenquellen enthält sowie dass die Daten im Zuge des Überführens ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.