Tasks performed by the SAP ETL Tool

ETL is the process of extracting, transforming, and loading data from multiple sources into a centralized data repository with the ETL tool being able to extract data in its native format. On the other hand, SAP is a software system that helps to process data and ensures that the ideal flow is maintained to optimize business efficiencies. The full package has ERP, database systems, application servers, and technology stacks.

Multiple tasks can be performed by the SAP ETL tool. Not only does itintegrate different systems and transforms data formats to match each other but also helps to move data to and from the SAP ecosystem. The SAP ETL tool also verifies whether the value of a name has been specified. The most critical advantage here is that data can be extracted and transformed externally even outside the application.

There are several reasons why most organizations in this modern data-driven environment prefer to use the SAP ETL tool.

The first is that once the SAP ETL tool is connected to the CDS views or Data Extractors, data extraction and mining of incremental data or deltas through OData can be automated. Further, whenever permitted by the primary database, the SAP ETL tool can carry out log-based Change Data Capture (CDC) from the database through transaction logs. Data can also be extracted with the SAP ETL tool from Cluster or Pool tables to a data warehouse or the SAP data lake.

Another advantage of the SAP ETL tool is that the initial data is merged automatically with Deltas and hence, SAP data lake on Snowflake, Redshift, Amazon S3, and Azure Synapse is updated in real-time.

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