Various tiers of the Data Warehouse

Source: Internet
Author: User
> ODS Layer
Mainly responsible for collecting business systems and keeping relevant business data for a certain period of time. Of course, you can also meet the user's query requirements for detail data, but also can be counted as a detail warehouse.
> Data Warehouse Layer
The ODS layer undergoes quality inspection, cleaning and conversion to form a public data center that meets the quality requirements. In fact, it is not very different from the ODS layer, it is the establishment of ER-centric data relations, which facilitates the aggregation of later data.
> Detail Data mart Layer is the above-mentioned fact layer
Further transform the Data Warehouse layer data by subject and KPI metrics to form a data mart with metrics and dimensions. This is the data base for OLAP.
> Aggregation data mart layer is OLAP
Provides multidimensional analysis capabilities based on the online analytical Processing (OLAP) engine, addressing online analysis and decision support requirements, based on the detail market layer.
> Data Presentation Layer
According to user report requirements, provide user report interface and alert distribution mechanism.

The first 3 layers belong to the ETL layer

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