1. SAP Glossary
  2. Data Warehouse Cloud - Modeling (Data Builder)
  3. business entity


What is business entity in SAP DWC-MD - Data Warehouse Cloud - Modeling (Data Builder)?


SAP Term: business entity

  • Component: DWC-MD

  • Component Name: Data Warehouse Cloud - Modeling (Data Builder)

  • Description: An object that is created on top of a view or a table, which has been created in the Data Builder. It can be modeled as a dimension or as an analytical dataset, and can then be used to build a consumption model for analysis.


Smart SAP Assistant

  • Key Concepts: 
    A business entity is a logical representation of a business object in SAP Data Warehouse Cloud. It is used to define the structure of the data that will be stored in the warehouse. It is composed of attributes, which are the individual pieces of data that make up the entity. The attributes can be of different types, such as text, numbers, dates, and so on. 
    
    How to use it: 
    In SAP Data Warehouse Cloud, business entities are used to define the structure of the data that will be stored in the warehouse. To create a business entity, you must first define its attributes and their types. Once the attributes have been defined, you can then create relationships between them to define how they are related to each other. Finally, you can add additional information such as labels and descriptions to help users understand the data better. 
    
    Tips & Tricks: 
    When creating a business entity in SAP Data Warehouse Cloud, it is important to think about how it will be used by users. Consider what type of data will be stored in each attribute and how it will be used by users. This will help you create an effective structure for your data that is easy to understand and use. 
    
    Related Information: 
    Business entities are closely related to other concepts in SAP Data Warehouse Cloud such as dimensions and measures. Dimensions are used to group related attributes together and measures are used to calculate values from the data stored in the warehouse. Understanding how these concepts work together can help you create an effective data model for your warehouse.
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