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DESCRIPTION:Click for Latest Location Information: http://edw2014.dataversity.net/sessionPop.cfm?confid=79&proposalid=5883\nFacing new modeling challenges like NoSQL, columnar, Hadoop, semantics and business rules gives us a chance to rethink conceptual modeling. Our previous attempts have not been too convincing - at least not to business people. Add to that that since the 80's much of our thinking has been around tables (entities) and columns (attributes) - for good reasons. How do we deal with other representations such as NoSQL, columnar, graphs or semantics?\nWhat is needed is (quoting Terry Halpin, 2008) "... a way to formulate the information structure of business domains in a way that can readily be understood by humans yet is easily implemented on computers." Concept maps used as concept models are precisely such a business-level representation. \nThe presentation will introduce concept modeling and will visualize the enrichments (specializations) needed for going from concept models to E/R, columnar, graphs, semantics and business rules (incl. fact modeling). \nTakeaways include:\n Concept Modeling 101\n Understanding business-level abstractions as the right level for paradigm independence\n Information-driven analysis from real-life situations \n Examples of the straight-forward specializations needed for going to the systems level\n A roadmap for using concept models in different contexts
DTSTART:20140501T093000
SUMMARY:Conceptual Concepts, Take II
DTEND:20140501T101459
LOCATION: See Description
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