Skip to main content

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. 



Comments

Popular posts from this blog

Capturing Data with the SAP Extractor

The SAP Extractor is a program in SAP ERP that can be both customized or taken from a standard Data Source. It prepares and captures data through an extract structure that can be transferred to the Business Warehouse of SAP. Both the options of the SAP Extractor help to describe a delta load process or various types of full load. The SAP BW can remotely access the various data transfer activities of the SAP Extractor . For more on SAP Extractor, click here. SAP Extractor executes SAP data extraction in three ways. The first is Content Extraction used to extract BW content, FI, HR, CO, SAP CRM, and LO cockpit. The second is Customer-Generated Extraction where the SAP Extractor is used for LIS, FI-SL, CO-PA. The third is Generic Extraction which is based on DB View, Infoset, Function Modules. The SAP Extractor used for a specific extraction activity depends on the particular needs of an organization. Data capturing and extraction with the SAP Extractor is initiated with the h...

The Evolution of Technology of Oracle Change Data Capture

Oracle change data capture ( CDC) was first launched with the 9i version as an in-built tool of the Oracle database. It was a tool that recorded and monitored all changes made in the user tables in a database. These changes were then stored in change tables and used in ETL applications for later processing and transferring to other data warehouses and databases. The release version of Oracle change data capture   had triggers placed in the source database. However, database administrators found this technology very invasive and did not favor it. Ultimately, Oracle changed the Oracle change data capture   technology and released it with the 10g version after naming it Oracle Streams.  The working of this release was different. Oracle change data capture   used the redo logs of the source database along with a replication tool of Oracle Streams. This technology turned out to be very successful and a highly optimized method to identify and move change data to a target ...

The Working of Microsoft SQL Server CDC

  Modern-day businesses have to preserve historical data and take measures to prevent data breaches. In this regard, Microsoft took the lead in 2005 when it launched the SQL Server CDC. The 2005 version of SQL Server CDC   had certain flaws which were ironed out in an updated release in 2008. Some of the functionalities included tracking and capturing all changes that take place in the SQL Server database tables without taking the help of additional programs and applications. Till 2016, SQL Server CDC   was offered by Microsoft in its high-end Enterprise editions but later was available in the Standard version too. SQL Server CDC   captures and records all activities like Insert, Update, and Delete applied to a SQL Server. Column information and metadata required for posting changes to the target database are recorded in modified rows that are then stored in change tables representing the architecture of the columns in the tracked source tables. SQL Server CDC ...