There are different methods, like point-to-point integration, and different "topologies" for integration that make a difference in design. A well-developed data integration architecture ensures smooth data flow between the source and destination locations by minimizing human intervention and. When applied to business, this is often called enterprise application integration, and is done to support key business goals.Īnother way to think about integration architecture is as the "skeleton" of an IT system or, as some experts call it, the "plumbing" of a system. Whether you need to see the ROI of your marketing campaigns or build a 360 customer profile, implementing the right data integration architecture allows you to form a single source of truth. Using tools like APIs, middleware and other resources, engineers cobble together workable architectures that successfully integrate their many parts. Cloud-based architectures and other kinds of new options are becoming popular for use in integration architectures. For example, a business strategy focused on mergers and acquisitions for growth may mean that your architecture will need to accommodate the integration of substantial new user bases (and/or data) during the year, which may impact the choices you make about architecture and instance strategy. Embedding an application in a greater context can require specialized tools, such as application programming interfaces (APIs), made specifically for the purpose of allowing this kind of integration. In some senses, integration is about "breaking down silos" and helping different software programs to communicate. Techopedia Explains Integration Architecture
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