Oracle - Datamining v/s Datawarehousing
Common Understanding between Datawarehouse & DataMining
Data warehousing is a process that must occur before any data mining can take place. In other words, data warehousing is the process of compiling and organizing data into one common database, and
Data mining is the process of extracting meaningful data from that database.
The data mining process relies on the data compiled in the data warehousing phase in order to detect meaningful patterns.
The data mining will typically be done by business users who are not engineers, but who will most likely receive assistance from engineers when they are trying to manipulate their data.
The data warehousing phase is a strictly engineering phase, where no business users are involved and this gives us another way of defining the 2 terms: data mining is typically done by business users with the assistance of engineers, and data warehousing is typically a process done exclusively by engineers.
Data warehousing is a process that must occur before any data mining can take place. In other words, data warehousing is the process of compiling and organizing data into one common database, and
Data mining is the process of extracting meaningful data from that database.
The data mining process relies on the data compiled in the data warehousing phase in order to detect meaningful patterns.
The data mining will typically be done by business users who are not engineers, but who will most likely receive assistance from engineers when they are trying to manipulate their data.
The data warehousing phase is a strictly engineering phase, where no business users are involved and this gives us another way of defining the 2 terms: data mining is typically done by business users with the assistance of engineers, and data warehousing is typically a process done exclusively by engineers.
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