ETL (Extract, Transform, Load) is an optimized tool that extracts, transforms, and loads data from multiple sources into a centralized data repository or a data warehouse. Its advantage is that it can extract data in native form like unstructured or structured and transform into the desired format before loading it into the target destination. The SAP ETL Tool also integrates various systems and transforms different data formats into each other.
The SAP ETL Tool moves data to and from the
SAP ecosystem and runs checks to verify if the value of a name has been defined
and also to clean the data. The unique benefit of this tool is that data can be
extracted and transformed even outside the application.
Migrating data from SAP or non-SAP sources to target
the HANA database is also done through the SAP Data Services using the SAP
ETL Tool, thereby enabling businesses to run data
analytics in the
application layer only. However, it is essential to first define the flow of
data in the Data Services, schedule a replication task, and specify the source
and the target platforms in the Data Services Designer data store.
There are several benefits of the SAP ETL Tool. It can be connected to CDS views or Data Extractors for automating data extraction and extracting incremental and change data or deltas through the OData Services. Moreover, deltas with the initial data are merged automatically, thereby ensuring that the SAP data lake on Snowflake, Redshift, Amazon S3, Azure Synapse is updated for real-time SAP ETL tool. Finally, data in the SAP Data Lake or SAP Data Warehouse is always analytics-ready.
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