Data integration models – point-to-point and middleware-based integration

Let’s consider the importance of data integration in today’s data-driven world. Organizations are constantly faced with a variety of data sources, formats, and technologies as they grow and adapt. For this reason, it can be difficult to get a complete, accurate, and current picture of the data environment of your organization. In this situation, data integration could be useful.

The process of merging data from several sources into a logical, consistent, and approachable structure is known as data integration. By integrating data to drive business choices and enhance overall performance, organizations may analyze, evaluate, and use data better. But how do we go about successfully integrating data? In this case, data integration models come into play.

In this chapter, we’ll look at two popular methods of data integration: middleware-based integration and point-to-point integration...