SAP Data Extraction Tools and Their Functioning

SAP Data Services, a software application, is used for data transformation and integration. Data may be extracted by users from several sources, such as databases, applications, data stores, and web services. The data that is extracted can be integrated, transformed, and formatted so that businesses can make cutting-edge analytics and decisions that contribute to their growth and development.  



Types of SAP Data Extract Tools

Two types of SAP data extraction tools will be analyzed in this post. 

The SAP Extractor

This extractor from SAP can be optimally used for SAP data extraction from source systems to be moved to downstream data warehouses and other business intelligence systems. The extracted data has several uses. It can feed SAP BW applications and can be used to integrate data with the SAP Extractor even when the user is an SAP client but not using the BW.   

Types of SAP Data Extractors

There are three types of SAP Extractors.  

  • Application Specific Content Extractors to extract SAP data with BW content, FI, HR, CO, SAP CRM, and LO cockpit.
  • Application Specific Customer-Generated Extractors to extract data related to LIS, FI-SL, and CO-PA. 
  • Cross Application Generic Extractors that work exclusively with the DB View, Infoset, and Function Modules.

Organizations use one of the SAP Extractors to extract SAP data that precisely matches their requirements. 

SAP ETL Tool

This is also among the highly optimized SAP data extraction tools. ETL stands for Extract, Transform, and Load, and its functioning is as follows: 

  • Data is first extracted from a single or several sources.
  • The tool then transforms the data to match the data structure of the target system.
  • Finally, the processed and formatted data is loaded into the target location, which may be a data warehouse or a central storage repository.

The benefit of using this SAP data extraction tool is that it can extract SAP data and transform it outside the application. Further, it can handle data in its native form, regardless of whether it is unstructured, semi-structured, or structured data.          

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