Scratching the Surface of Data Virtualization

What Is Data Virtualization?

Data Virtualization is an advanced approach to data integration. It is an easier way to integrate, federate, and transform data from multiple data sources into a single, unified environment in real-time. With Data Virtualization, you’re not just collecting different data sources (such as ETL, ESB, and other middleware) but connecting them and leveraging existing Data Warehouse, Big Data lakes, or different data infrastructures already in place.

Therefore, Data Virtualization has the ability to provide a holistic view of business operations and quickly help identify new value possibilities.  Please note, the data can easily be accessed or shared by other applications, without replicating the data through the “virtual” metadata layer.

How to Set Up CodeReady Studio 12 (Data Virtualization)

The release of the latest Red Hat developer suite version 12 brings with it a name change from Red Hat JBoss Developer Studio to Red Hat CodeReady Studio.

The focus here is not on the Red Hat CodeReady Workspaces, a cloud and container development experience, but on the locally installed developers studio. The new release brings with it the questions around how to get started with the various Red Hat integration, data, and process automation product toolsets that are not installed out of the box.