Data & System Integrations
Data integration is the process of combining data residing at different sources and providing the user with a unified view of these data. This process emerges in a variety of situations both commercial (when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories). Data integration appears with increasing frequency as the volume and the need to share existing data explodes. It has been the focus of extensive theoretical work and numerous open problems remain to be solved. Enterprise Information Integration (EII), is the commercial application of Data Integration.
System integration is the bringing together of the component subsystems into one system and ensuring that the subsystems function together as a system. In information technology, systems integration is the process of linking together different computing systems and software applications physically or functionally. The system integrator brings together discrete systems utilizing a variety of techniques such as computer networking, enterprise application integration, business process management or manual programming. System integration is also about value-adding to the system, capabilities that are possible because of interactions between subsystems.
In today’s connected world, the role of system integration engineers is becoming more and more important: more and more systems are designed to connect together, both within the system under construction and to systems that are already deployed.
Enterprise application integration (EAI) is the process of linking such applications within a single organization together in order to simplify and automate business processes to the greatest extent possible, while at the same time avoiding having to make sweeping changes to the existing applications or data structures. EAI is the unrestricted sharing of data and business processes among any connected application or data sources in the enterprise.
One large challenge of EAI is that the various systems that need to be linked together often reside on different operating systems, use different database solutions and different computer languages, and in some cases are legacy systems that are no longer supported by the vendor who originally created them.
F1 resources are well versed with data, system, application and process integration across the enterprise and between enterprises.
