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 development information architecture


Architecture-Centered Information Systems In The Manufacturing Domain - Part III - Steps in the Architecture Process
Architecture bridges the semantic gap between the requirements and software. Application software systems must be architected in order to deal with the current

development information architecture  straightforward details for the development step. The information model does not constitute an engineered design. In particular, engineering analysis, such as database normalization, is explicitly delegated to the development activities. Footnotes [9] This Object Oriented approach is motivated by several forces: Vendors use Object Oriented (OO) methodologies to define the architecture of their products. In some cases the OO components are provided through a gateway creating a traditional system with OO

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Software Functionality Revealed in Detail

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A New Development Framework on iSeries or i5/OS: Architecture


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Architecture Evolution: From Web-based to Service-oriented Architecture


Traditional enterprise systems have proven difficult to change and extend. The inherent problem of old core code and business logic duplication is part of the reason traditional enterprise resource planning systems have not readily taken to e-commerce.

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Architecture Evolution: Service-oriented Architecture versus Web Services


Collaboration and interoperability are critical where multiple business units reside under one larger corporation, or where there is a requirement to integrate the system into a disparate system when a business-to-business or business-to-consumer extension is part of the business model.

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Architecture-Centered Information Systems In The Manufacturing Domain - Part II - The Architecture Process


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The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

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5 Must-haves in your Information Management Strategy during Challenging Times


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