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DESCRIPTION:Click for Latest Location Information: http://edw2012.dataversity.net/sessionPop.cfm?confid=65&proposalid=4245\nHow and when should data modeling be conducted in an agile development effort?  How can we develop data models in an agile way and what are some techniques we can use when we are data modeling on agile efforts? Given that agile teams live or die on the idea that they must produce something of business value, such as working software, in a two to four week period, is there even time to model? On an agile development effort, should there be processes in place to ensure that the data structures are integrated with the rest of the enterprise and that a standardized, enterprise data model is used so that the effort does not result in a data silo?\nIn this course, Len Silverston, best-selling author of "The Data Model Resource Books, Volumes 1, 2, and 3" will address the above questions and propose practical solutions for how we can effectively data model in agile development efforts. \nThis course will cover:\n<ul><li>What is 'agile' and what is 'agile data modeling'?</li>\n<li>Data modeling issues in agile development environments </li>\n<li>Key techniques showing how to data model in an agile environment</li>\n<li>Exercises to practice data modeling in an agile environment covering different scenarios</li>\n<li>How to effectively apply human dynamics principles to data modeling that are in sync with agile principles</li>\n<li>How the use of template data models and patterns can help provide quick and 'agile' modeling</li></ul>
DTSTART:20120430T133000
SUMMARY:PM7: How to Data Model in an Agile Environment
DTEND:20120430T164459
LOCATION: See Description
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