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Data Analysis & Modeling
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Understanding Group Data Elements
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In the past I have discussed the need to manage data (and all information resources) as a valuable resource; something to be shared and reused in order to eliminate redundancy and promote system integration. Now, our attention turns to how data should be defined. Well defined data elements are needed in order to properly design the logi...
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The Business Rules Approach
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“The biggest risk to your company is not being able to change fast enough… Business Rules are the answer.” …Ron Ross I am a great appreciator of Mr. Ross. He has written extensively on the topic of Business Rules, offers excellent training on the subject, and is the keynote speaker at each year’s International Business Rules Forum. I would like...
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Requirements Engineering Process Maturity Model for Market Driven Projects
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Several software projects are over budgeted or have to face failures during operations. One big reason of this is Software Company develops wrong software due to wrong interpretation of requirements. Requirements engineering is one of the well known discipline within Software engineering which deals with this problem. RE is the process of eliciti...
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Implicit Data Dictionaries are Dangerous!
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Describes the difference between a data dictionary and an implicit data dictionary and why an implicit data dictionary (or no data dictionary at all) may spell trouble for your project. Can data dictionaries be used with UML Use Cases or an XP methodology? Author: Conrad Weisert
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Database Modelling in UML
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When it comes to providing reliable, flexible and efficient object persistence for software systems, today's designers and architects are faced with many choices. From the technological perspective, the choice is usually between pure Object-Oriented, Object-Relational hybrids, pure Relational and custom solutions based on open or proprietary file f...
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