Features of the SAP ETL Tool
• ETL is an acronym for Extract, Transform, Load and is an optimized tool to extract data from a source database, transform it to the data structure that is supported by the intended database, and finally load the processed data into the target database. The SAP ETL tool moves data between various SAP ecosystems and integrates different data formats into each other. An important feature of SAP ETL is that it can even extract data that is not present within an application.
There are several cutting-edge features of the SAP ETL tool.
• It can automatically extract data from the OData services when linked to the CDS views or Data Extractors, both for the first run and incremental data or deltas.
• Where permission is granted to access the primary database, SAP ETL carries out log-based Change Data Capture activity through transaction logs.
• SAP ETL automatically merges deltas with the base data and this leads to the tool is continually updated in real-time on the SAP data lake operating on Snowflake, Redshift, Amazon S3, and Azure Synapse.
• Coding is not required for specific SAP ETL tasks like extraction, merging, masking, type 2 history, or for external integration with third-party tools like Apache Hudi.
• The history of all transactions is ensured on the SAP data lake or data warehouse through automated SCD Type 2 history of the data.
• SAP ETL assures automatic integration of an SAP Data Lake on AWS at the API level with Amazon Athena and Glue Data Catalog.
• SAP ETL ensures high integration performance into Snowflake, Redshift, S3, Azure Synapse, Azure SQL DB, and SQL Server. These are some of the cutting-edge features of the SAP ETL tool.
