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According to Forrester Research, solution architecture is one of the key components by which Enterprise Architecture delivers value to the organization. It entails artifacts such as a solution business context, a solution vision and requirements, solution options (e.g. through RFIs, RFPs or prototype development) and an agreed optimal solution with build and implementation plans ("road-map").
In software engineering, a software development process or software development life cycle (SDLC) is a process of planning and managing software development.It typically involves dividing software development work into smaller, parallel, or sequential steps or sub-processes to improve design and/or product management.
Software engineering is a field within computer science focused on designing, developing, testing, and maintaining of software applications.It involves applying engineering principles and computer programming expertise to develop software systems that meet user needs.
Software architecture supporting activities are carried out during core software architecture activities. These supporting activities assist a software architect to carry out analysis, synthesis, evaluation, and evolution. For instance, an architect has to gather knowledge, make decisions, and document during the analysis phase.
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In software development, frontend refers to the presentation layer that users interact with, while backend involves the data management and processing behind the scenes. In the client–server model, the client is usually considered the frontend, handling user-facing tasks, and the server is the backend, managing data and logic.
For example, if you need to load data into two databases, you can run the loads in parallel (instead of loading into the first – and then replicating into the second). Sometimes processing must take place sequentially. For example, dimensional (reference) data are needed before one can get and validate the rows for main "fact" tables.
Domain-driven design (DDD) is a major software design approach, [1] focusing on modeling software to match a domain according to input from that domain's experts. [2] DDD is against the idea of having a single unified model; instead it divides a large system into bounded contexts, each of which have their own model.
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