We are all well aware of how integration patterns are used for applications: applications composed of multiple services are integrated together using a variety of patterns. However, there is another paradigm that is a requirement for many organizations, known as data integration. This has happened especially during the last decade, when the generation and availability of data has been incredibly high. The velocity, variety, and volume of data being generated has increased drastically, and there is data almost everywhere.
Every organization has many different types of applications, and they all generate data in their own proprietary format. Often, data is also purchased from the marketplace. Even during mergers and amalgamations of organizations, data needs to be migrated and combined.
Data integration refers to the process of bringing data from multiple sources...
