Quite often people confuse between

Quite often people confuse between Data mining and Data Warehousing. Well, the two concepts are similar, they are not the same. The primary difference between data warehousing and data mining is that Data Warehousing is the process of compiling and organizing data into one common database, whereas data mining refers the process of extracting meaningful data from that database. The two concepts are interrelated; data mining begins only after data warehousing has taken place. Data warehousing techniques and tools include DW appliances, platforms, architectures, data stores, and spreadmarts; database architectures, structures, scalability, security, and services; and DW as a service.

Results (English) 1:

Quite often Do People confuse giữa Data mining and Data Warehousing. Well, the two concepts are similar, not the same chúng. The primary difference the between data warehousing and data mining Data Warehousing Is that the process of compiling and is Organizing the data into one common database, data mining còn the process of extracting meaningful Refers data from có database. The two concepts are interrelated; begins only after data mining has taken place data warehousing.

TECHNIQUES and tools include data warehousing DW appliances, platforms, Architectures, data stores, and spreadmarts; Architectures database, structures, scalability, security, and services; and DW as a service.

Results (English) 2:

Quite often people confuse between Data mining and Data Warehousing. Well, the two concepts are similar, they are not the same. The primary difference between data warehousing and data mining is that Data Warehousing is the process of compiling and organizing data into one common database, whereas data mining refers the process of extracting meaningful data from that database. The two concepts are interrelated; Data mining begins only after data warehousing has taken place.

Data warehousing techniques and tools include DW appliances, platforms, architectures, data stores, and spreadmarts; Database architectures, structures, network, security, and services; and DW as a service.

Results (English) 3:

Quite often people confuse between Data mining and Data Warehousing. Well, the two concepts are similar, they are not the same. The primary difference between data warehousing and data mining is that Data Warehousing is the process of compiling and organizing data into one common database, whereas data refers process of extracting data data data from that database. The two concepts are interrelated; data mining begins after data ehousing has taken place.
Data warehousing techniques and tools include DW appliances, platforms, data stores, and spreadmarts; database, structures, scalability, security, and DW as a service service.