Existing data storage format can not meet the needs of information analysis, data warehouse onto the historical stage,
the data warehouse is to support business decision making and the creation of specially designed data collection. With
the data warehouse, the companies will all collected information is stored in the data warehouse. The data warehouse is
organized according to some, making information easy to access and has value. This paper focuses on the establishment
of data warehouse and analysis, design, data warehouse, two barrier models, and compares them.
This article describes the theory knowledge of the extenics and association rules, And combined extension and
association rule mining algorithm, Construction of a database element model, the complex database reduced to intuitive
and simple database, make expression more clear, and reduce the next step rule mining of data calculation. In the basic
of Apriori algorithm significant association rules data mining based on the extension. Using association rule mining
algorithm and extension of the correlation thought the database of extension of data mining association rules, access to
many valuable association rules. And an example illustrates the effectiveness of this method.