What is data preparation in SAP DWC-MD - Data Warehouse Cloud - Modeling (Data Builder)?

SAP Term: data preparation

• Component: DWC-MD

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

• Description: Involves pruning, transforming, and formatting raw data before it is consumed.

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• Key Concepts:
  Data preparation is the process of transforming raw data into a format that can be used for analysis. This includes cleaning, organizing, and transforming data into a format that is suitable for the intended purpose. It is an important step in the data analysis process as it ensures that the data is accurate and consistent.
  
  How to use it:
  Data preparation in SAP DWC-MD Data Warehouse Cloud - Modeling (Data Builder) involves creating a data model that defines the structure of the data and how it should be organized. This includes defining the data types, relationships between tables, and any transformations that need to be applied to the data. Once the model is created, it can be used to create datasets that can be used for analysis.
  
  Tips & Tricks:
  When preparing data for analysis, it is important to ensure that all of the data is accurate and consistent. This means checking for any errors or inconsistencies in the data and correcting them before proceeding with analysis. Additionally, it is important to ensure that all of the necessary transformations are applied to the data so that it can be used effectively.
  
  Related Information:
  Data preparation is an important part of any data analysis process and is essential for ensuring accurate results. For more information on how to prepare data for analysis in SAP DWC-MD Data Warehouse Cloud - Modeling (Data Builder), please refer to the official documentation.