Integrative Programming Quiz and Flashcards

Study Notes

Software integration combines existing components to form a cohesive system, involving at least one pre-existing system.
Integrative programming connects IT infrastructure components such as people, applications, platforms, and databases, fostering collaboration.
Integrative solutions help organizations integrate internal and external business processes, accommodating evolving requirements and enabling global operations.

System Integration: Combines functioning systems or components into one larger system, meeting collective requirements.
Functional Integration: Incorporates new functions or technology into an existing software system without losing original functionality.
Incremental Engineering: Develops systems that can be enhanced over time by integrating newer technologies or functionalities.
Modification: Involves decomposing and integrating existing systems to make necessary adjustments.

Organizations often consist of multiple departments with specific applications that must interact to achieve overall objectives.
Applications initially designed to operate independently often require integration as systems grow and evolve.
Data integration models enable sharing and synchronization of data across applications.
Functional integration models allow the invocation of existing functionalities from various applications through interfaces.

Integration requires efficient, reliable, and secure data exchange among diverse enterprise applications.
Fundamental challenges stem from working with independent, standalone applications not originally intended for integration.
Integration complexity increases with applications using different programming languages and operating environments.

Network Unreliability: Data transportation over networks introduces potential delays and interruption due to multiple routing factors.
Distributed Systems: Applications may run in entirely separate environments, complicating message-based communication.
Network Speed: Data transfer across networks is significantly slower than local calls, which can impact overall performance.
Heterogeneity: Applications often differ in programming languages, operating systems, and data formats, complicating seamless integration.

Messaging: Applications can publish messages to a common channel for other applications to read later, facilitating asynchronous communication.
File Transfer: Applications generate files containing necessary information that other applications can process or consume. Formats need to be adaptable for compatibility, and files should be produced at regular intervals to suit business operations.