Unstructured and structured data from a variety of sources are merged to form a single, unified data set with the goal of providing end-users with centralized data access and delivery while also satisfying the data needs of a variety of applications and business processes. With the rise of big data and the skyrocketing need to integrate it, this has become a crucial part of the entire data management process.
Because institutions rely on data integration to be competitive, it is essential. Not only can these cutting-edge technologies scan these massive databases, but they can also do business intelligence and consumer data analytics, data enrichment, and real-time information delivery.