fact and dimension tables in data warehousing

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Data warehouses-fact tables and dimension tables

physical model of the Data Warehouse.2. Basic concepts of fact tables and dimension tablesSimply speaking, the dimension table is the angle (dimension) in which you observe the object, and the

"Bi thing-the art of data" understanding Dimension Data Warehouse-fact table, dimension table, aggregation table

The original: "Bi thing-the art of data" understanding Dimension Data Warehouse-fact table, dimension table, aggregation tableFact tableIn a multidimensional data warehouse, a table that holds a detailed value or

"Bi thing-the art of data" understanding Dimension Data Warehouse-fact table, dimension table, aggregation table

tables will have different measures. A sales data warehouse may contain these two measure columns: Sales and sales. A field information Data Warehouse may contain 3 measure columns: Total, number of minutes, and number of defects. When you create a report, you can think of a measure as an extra dimension. That is, you

Fact tables and dimension tables (reproduced)

A dimension represents the amount of data you want to analyze, such as when you analyze a product's sales, you can choose to analyze it by category, or by region. Such a press. The analysis forms a dimension. The previous example can have two dimensions: type and region. In addition, each dimension can have sub-dimensi

Fact tables and dimension tables

Explanation 1: Fact tables are data tables combined by a certain field of analysis.The latitude table is a combination of analysis indicators in this field. Interpretation 2: To put it simply;A fact table is a transaction table.A d

Overview of SQL Server database dimension tables and fact tables

Overview of SQL Server database dimension tables and fact tables: Fact table Each data warehouse contains one or more fact tables.

Differences and relationships between fact tables and dimension tables

Fact tableEach data warehouse contains one or more fact data tables. Fact data tables may contain business sales

Database Design-from traditional methods to fact tables and dimension tables

, but never come up with a good way. I recently looked at the construction of the data warehouse and found the concepts of fact tables and dimension tables. I have a little bit of feeling in conjunction with my own projects. In fact

Convert: definitions of fact tables and dimension tables in Bi

Tags: http data problems ad EF Time Database. Net TT Bi Data Warehouse product database storage A typical example is to compare a logical business to a cube. The product dimension, time dimension, and location dimension are different coordinate axes, and the intersection o

Definition of fact tables and dimension tables in BI

A typical example is to compare the logical business to a cube, the product dimension, the time dimension, and the location dimension as different axes, and the intersection of the axes is a detailed fact. This means that the fact table is an intersection of multiple

Database Design-from traditional methods to fact tables and dimension tables

Introduction Fact table The foreign key that stores the measurement value and dimension table. Dimension Table Angle and category. Time, region, and status. Old Method Select * from order oinner join district d on o. discode = d. discodeinner join address a on o. addressid =. addressidwhere o. createdate> '2014-2-5 'and o. createdate It is difficult to add co

Dimension table, fact table, Data Warehouse, BI ...

In the past, the dimension tables, fact tables, data analysis, BI and other concepts have some ambiguity. These days of study finally let these have some clues:A dimension represents the amount of

Several types of fact tables for the Data Warehouse

Transaction fact tables, periodic snapshot fact tables, and cumulative snapshot fact tables, fact snapshotsIn the field of data warehousing

Share dimension tables between data warehouses (marketplaces)

Some people often ask a question: do fact tables and dimension tables must be in a database? Why is there such a problem? As we mentioned, if the data warehouse is large enough, it may be split into so-called data mart. Generally,

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