Data warehouse based on data fusion and data mining and application method of data warehouse
A data mining and data fusion technology, applied in the field of data warehouses, can solve the problems that data warehouses cannot meet the reliability, consistency and sharing of massive data information storage and extraction, and achieve the effect of convenient storage and extraction
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[0022] Such as figure 1 As shown, the present invention mainly includes a data extraction layer, a data storage layer and a data access layer.
[0023] Data extraction layer: Import data from online transaction processing systems, external data sources, and offline data storage media into the data warehouse through the extraction process. Data extraction mainly involves interconnection, replication, increment, transformation, scheduling and monitoring technically. The process includes source data analysis and mapping, data extraction, conversion and loading, and data auditing;
[0024] Data storage layer: This layer is the core of the whole system, including ODS, EDW and data mart 3 layers. Among them, ODS stores data that has been lightly cleaned and basically maintains the consistency of data details with the production system, and the data storage period is short; EDW stores organized, customer-centric enterprise data, and the data storage period is long. In the process o...
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