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DESCRIPTION:Click for Latest Location Information: http://edw2015.dataversity.net/sessionPop.cfm?confid=87&proposalid=7180\nFor decades now, data warehouses were extremely "brittle" in the face of new or changing business requirements.  Once loaded, their data repositories could not be re-purposed without converting the existing data, a practice that can ruin expensive data conversion programming. As a result data warehouse designers were forced to doom their projects to "death by architecture," in which they insisted on perfect, up-front designs before data transform programming could begin.  \nLuckily, the new data modeling paradigms of hyper normalizing and hyper generalizing allow teams to readily adapt established warehouses in new directions without conversion script programming. Teams can now start with a simple design that meets current business requirements, then steadily evolve the database as new business needs emerge. These novel techniques have hundreds of successful implementations and strong support by vendors and practitioners. In this presentation, we will consider a couple of such case studies, then touch upon:\nWhy traditional data models become so expensive to update\nWhy "database refactoring" leaves much to be desired\nVariations upon standard normal forms that allow agile data engineering\nHow highly generalized data models enable model-driven development\nWhere tools can amplify the power of these new modeling techniques
DTSTART:20150330T133000
SUMMARY:PM8: Hyper-Modeled Databases: A Crucial Technique for Truly Agile Data Warehousing
DTEND:20150330T164459
LOCATION: See Description
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