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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.
System Architect XT (where XT denotes eXtended Team) is a sister product to System Architect rich client, providing a pure web browser interface to read and write access to the repository. SA XT enables remote users with a web browser to: Browse the repository in an Explorer tree as they would in the rich-client System Architect.
The IT Architect Certification is an independent global certification program for qualifying the skills, knowledge and experience of IT, Business and Enterprise Architects. This program was developed by The Open Group members in response to the growing demand for experienced IT architects.
Architect_William_Godfrey.pdf (377 × 558 pixels, file size: 3.5 MB, MIME type: application/pdf) This is a file from the Wikimedia Commons . Information from its description page there is shown below.
This is an accepted version of this page This is the latest accepted revision, reviewed on 20 February 2025. Engineering discipline specializing in the design of computer hardware Not to be confused with Computational engineering. "Hardware engineering" redirects here. For engineering other types of hardware, see Mechanical engineering. For engineering chemical systems, see Chemical ...
Amazon SageMaker AI is a cloud-based machine-learning platform that allows the creation, training, and deployment by developers of machine-learning (ML) models on the cloud. [1] It can be used to deploy ML models on embedded systems and edge-devices .
Each PA is composed of a "core" [i.e. a generic and terminology-free description] and "context-specific" [ i.e. description from the perspective of Agile/ Scrum, development, services, etc.] section. Since all practices are now compulsory to comply, "Expected" section has been removed.