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A SAP BW Extractor, also known simply as the SAP Extractor is an optimized data management tool of SAP. Its main function is to extract SAP data from a source system and move it to a downstream data warehouse or store it in a business intelligence system. The SAP BW Extractor feeds SAP BW applications with data extracted from SAP. Functioning of the SAP BW Extractor The SAP BW Extractor integrates SAP data even if the SAP user is not on the Business Warehouse (BW). Hence, this tool can seamlessly populate the delta queue with changed records of the new delta type.    Before using a SAP BW Extractor, it must be hard-coded to ensure that the application-specific Extractor delivers BI Content of the Business Warehouse. The functioning of the Extractor is fully automated. It can identify both the data that is extracted and the tables where it is stored in a read-only format after the Extractor is named in the Data Source. Additionally, a SAP BW Extractor has master da...

  Before going into the types of Postgres CDC, let us briefly understand the two as individual entities. PostgreSQL or Postgres is an open-source relational database and is widely used for carrying out multiple functions such as data warehousing, OLTP workloads, and business analytics.  Change Data Capture (CDC) is a software design pattern. It tracks and monitors changes made to a database and takes the necessary action based on those changes. When you combine the two – Postgres CDC – users get several benefits Now, let us go into detail about the three types of Postgres CDC. # Trigger-based Postgres CDC Here it is possible to identify changes such as Insert, Update, and Delete in the table of interest. A changelog can be created for each change by inserting a row into a change table. In this type of Postgres CDC changes captured are stored in PostgreSQL only. The downside here is that the performance of Postgres is adversely affected as triggers increase the ex...