degenerate dimension in data warehouse

Objective: To learn about Data Warehouses(The following is only a personal attempt to learn data warehouses.Is superficialI hope you will be able to provide guidance after reading this article.I will learn more on this basis in the future) Steps:1. Create a database data table to fill in the data2. Create a data

The methods for modeling SQL Server four data warehouses are mainly grouped into the following four categories. The first class is the three-paradigm modeling of relational databases, and we usually use the three-normal modeling method to build various operational database systems. The second type is the three-paradigm Data warehouse model advocated by Inmon, w

Backup | Data 1: Data Warehouse schema Backup Including the database architecture and OLAP architecture; The database includes a dimension table, fact table, and other temporary or control class tables whose structure is generated by generating SQL scripts. Note: Its primary key, index and so on are to be generated; Th

I. Runtime Environment SQL> select * from v $ version;BANNER----------------------------------------------------------------Oracle Database 10g Enterprise Edition Release 10.2.0.1.0-ProdPL/SQL Release 10.2.0.1.0-ProductionCORE 10.2.0.1.0 ProductionTNS for 32-bit Windows: Version 10.2.0.1.0-ProductionNLSRTL Version 10.2.0.1.0-ProductionSQL> show parameter queryNAME TYPE VALUE-----------------------------------------------------------------------------Query_rewrite_enabled string TRUEQu

Tags: scheduling filter mapping Data Warehouse Oracle proc Graphics Component RPDObieeRPD: Define the subject angle of the different analysis, determine the corresponding fact table and dimension tableReport Surface: Select the required dimensions and measures, select the desired data according to the filterVisualize:

 Data Warehouse Architecture: Stg-ods-dw-rep/dm/other, Basic dimension date + product. Use the Python language to implement the ETL work of MySQL to Oracle, file landing method. Define HSS functions, program execution portals, define general.py public functions, and develop python.py scripts. Data architecture, eac

.Data is duplicated into a dimension model for easy creationOLAP. Currently, OLAP modeling tools are powerful enough, and explicit dimensions and fact table definitions are not required in relational data; For the above three reasons, only2 can be established. Therefore, the data

Share an example of a real-time data warehouse. The customer is a municipal Tobacco Company and needs to analyze the cigarette sales data in real time. About 0.1 million pieces of data are collected every day, which occurs within four hours. Our solution is: 1. The dimension