 # Why A Dimension Table Is Wide And Fact Table Is Deep?

## Why A Dimension Table Is Wide And Fact Table Is Deep?

Fact tables are deep whereas dimension tables are wide as fact tables will have a higher number of rows and a lesser number of columns. A primary key defined in the fact table is primarily to identify each row separately. The primary key is also called a Composite key in fact table.

## What is a dimension table?

A dimension table contains dimensions of a fact. They are joined to fact table via a foreign key. Dimension tables are de-normalized tables.

## What is SAP BW fact table?

Fact tables:
In SAP BW, there are two Fact tables for including transaction data for Basis InfoCubes: the F- and the E-Fact tables. /bic/F(cube name) is the F-fact table of a content cube. /bic/E(cube name) is the E-fact table of a content cube.

## What is difference between fact table and dimension table in Hana?

Dim tables contain master data. Fact and dimension table are joined in HANA Modeling to achieve some business logic. Example of Measures − Number of unit sold, Total Price, Average Delay time, etc. Dimension Table contains master data and is joined with one or more fact tables to make some business logic.

## What is the combination of fact and dimension table called?

Keys: Fact table consists of a key that is the combination or concatenation of all primary keys of various dimension tables associated with that fact table. Such key is called a concatenated key which uniquely identifies the row of the fact table.

## How do fact tables and dimension tables work together?

A fact table works with dimension tables. A fact table holds the data to be analyzed, and a dimension table stores data about the ways in which the data in the fact table can be analyzed. Thus, the fact table consists of two types of columns.

## What is the difference between a dimension table and a fact table?

A fact table works with dimension tables. A fact table holds the data to be analyzed, and a dimension table stores data about the ways in which the data in the fact table can be analyzed. Thus, the fact table consists of two types of columns.

## What is dimension table and fact table in Hana?

The fact table contains measure values and primary key for Dimension tables. Dim tables contain master data. Fact and dimension table are joined in HANA Modeling to achieve some business logic. Example of Measures − Number of unit sold, Total Price, Average Delay time, etc.
Jul 30, 2019

## What is the difference between a fact table and dimension table?

A fact table holds the data to be analyzed, and a dimension table stores data about the ways in which the data in the fact table can be analyzed.

## What is fact table and dimension table with example?

Difference between Fact Table and Dimension Table

 Fact Table Dimension Table A fact table is arranged vertically. The dimension table, on the other hand, is a horizontal table. A fact table can have both numerical and text attribute formats. A dimension table’s attribute format is text.

## What is the difference between infocube and fact table?

/bic/E(cube name) is the E-fact table of a content cube. The Fact tbl is the central tbl of the InfoCube. Here key figures (e.g. sales volume) & pointers to the dimension tbls are stored (dim tbls, in turn, point to the SID tbls). If you upload data into an InfoCube, it is always written into the F-fact table.

## What are different types of fact tables dimension tables?

There are three types of fact tables and entities: Transaction. A transaction fact table or transaction fact entity records one row per transaction. Periodic.

## Which table we load first fact or dimension?

The process of loading the base schema requires that fact tables and dimension tables be loaded. Fact tables bear foreign keys to the dimension tables and are therefore dependent entities. This would suggest that dimension tables be loaded first.

## What are the most important SAP BW tables?

In this article, we will list the most Important SAP BW Tables (Business Intelligence Warehouse Tables). In order to simplify this list, we will divide the list into SAP BW Tables by topics such us: Transfer Structure Tables, Update Rules, InfoPackage, Queries,�Workbooks, InfoObject, InfoCube Tables, DataSource, InfoSource tables …

## What is an infocube fact table?

/BI0/0P… are tables that occur in the course of an optimized preprocessing that contains many tables. For more information see SAP Note 514907. In SAP BW, there are two Fact tables for including transaction data for Basis InfoCubes: the F- and the E-Fact tables. The Fact tbl is the central tbl of the InfoCube.

## What is the difference between fact table and dimension table?

A fact table contains numeric values and also contain composite key (i.e collection of foreign key) e.g.. sales and profit. Typically has two types of columns: those that contain facts and those that are foreign keys to dimension tables. Dimension tables, also known as lookup or reference tables, contain the relatively static data in the warehouse.

## What is SAP BW fact table?

Fact tables:
In SAP BW, there are two Fact tables for including transaction data for Basis InfoCubes: the F- and the E-Fact tables. /bic/F(cube name) is the F-fact table of a content cube. /bic/E(cube name) is the E-fact table of a content cube.

## What are the types of CDS views?

CDS views exist in 2 flavours, namely, ABAP CDS views and HANA CDS views.

## What is SAP DWC?

SAP Data Warehouse Cloud helps you extend your existing on-premise data warehouse deployments, including SAP HANA for SQL data warehousing, SAP BW/4HANA, and third-party environments. This hybrid scenario allows you to balance pace and risks in moving to the cloud.

## Q.15 The three main components of data model structure in SAP S/4HANA are,

Configuration data.

Master data.

Quantitative data.

Transaction data.

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