A Guide To Oracle Change Data Capture

Before going into the details of Oracle CDC, it is essential to get an overview of the Change Data Capture feature and how it works.

In short, Change Data Capture is a software pattern. Its function is to track and monitor changes made in the source systems. Users can then take suitable action based on these changes at a later stage. Further, CDC can integrate data by capturing, identifying, and delivering all the changes that have been made to databases in organizations.  

Now coming to Oracle CDC, its main feature is that it permits real-time data integration and is especially useful for large data-driven enterprises. It also helps to boost access to databases as well as its speed and performance.

The main function of Oracle CDC is to preserve and capture the state of the data. Hence this feature is typically present in a data warehouse or a data repository ecosystem. An advantage of using Oracle CDC is that it can be set up and configured very easily through physical storage or application logic or even a combination of the two.

Moreover, several complex replication activities can be simultaneously performed by Oracle CDC without adversely affecting the speed and performance of databases. This is subject to users using non-intrusive methodologies and highly optimized tools for this purpose. Among the complex replication activities that can be carried out by Oracle CDC are migrating databases to the cloud or filtering queries from in-production databases. 

The main benefit of using Oracle CDC is that during migration, the source database remains fully functional and there is no need for downtime. It is a big boost for large data-driven organizations for whom shutting down systems impacts operational efficiency.