June 2009
Beginner to intermediate
428 pages
9h 48m
German
Content preview from Data Mining mit Microsoft SQL Server
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3.4. Strukturelle Anpassungen
In der Regel beinhaltet ein Data Warehouse Daten von unterschiedlichen Quellen. Damit diese gemeinsam ausgewertet werden können, müssen diese transformiert werden, sodass sie korrekt aufeinander verweisen. Alternativ dazu kann es notwendig sein, die Strukturen der Quellsysteme im Data Warehouse zu verschmelzen. Da unterschiedliche Miningverfahren die zu analysierenden Daten in unterschiedlichen Datenstrukturen erwarten, kann es darüber hinaus ebenfalls notwendig sein, im Data Warehouse weitere Transforma-tionen stattfinden zu lassen.
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