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  2. ABAP Dictionary
  3. data integrity


What is data integrity in SAP (BC-DWB-DIC - ABAP Dictionary)?


SAP Term: data integrity

  • Component: BC-DWB-DIC

  • Component Name: ABAP Dictionary

  • Description: The correctness and consistency of data in a database. When preserving data integrity, a distinction is made between: Semantic integrity Relational integrity Operational integrity


Smart SAP Assistant

  • Key Concepts: 
    Data integrity is a concept that ensures the accuracy and consistency of data stored in a database. It is a set of rules and procedures that are used to maintain the accuracy and consistency of data over its entire life cycle. In SAP, data integrity is enforced through the BC-DWB-DIC ABAP Dictionary, which is a component of the SAP system that stores and manages all the data definitions and relationships between them. 
    
    How to use it: 
    The BC-DWB-DIC ABAP Dictionary is used to define and manage the data integrity of an SAP system. It stores all the data definitions and relationships between them, as well as any other information related to the data. It also provides tools for creating, modifying, and deleting data definitions, as well as for managing the relationships between them. 
    
    Tips & Tricks: 
    When creating or modifying data definitions in the BC-DWB-DIC ABAP Dictionary, it is important to ensure that all the data definitions are consistent with each other. This will help ensure that the data integrity of the system is maintained. Additionally, it is important to regularly review and update the data definitions in order to ensure that they remain accurate and up-to-date. 
    
    Related Information: 
    The BC-DWB-DIC ABAP Dictionary is closely related to other components of the SAP system such as the ABAP Workbench, which provides tools for developing applications using ABAP programming language; and the SAP Basis layer, which provides tools for managing and maintaining an SAP system. Additionally, there are several other components of an SAP system that are related to data integrity such as authorization management, security management, and audit management.
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