Modeling Unstructured Data
Venue: Residenza di Ripetta
|Event Date/Time: Dec 18, 2008||End Date/Time: Dec 18, 2008|
â€¢ Show me consumer feedback on my product from all Website discussion groups for the last six months
â€¢ Show me all photographs taken of the fountains in Rome from the summers of 2002 through 2007
â€¢ Show me all contracts which contain a particular liability clause
As with many areas of information technology however, there is ambiguity and confusion on the definitions and therefore the Business and information technology implications of unstructured data. This seminar will clearly explain unstructured data as well as related concepts such as Ontologies and Taxonomies in a context that will help you identify new Business Intelligence opportunities and design efficiencies for your organizations. Through a combination of lecture and exercises, we will reinforce unstructured data concepts and challenges. You will learn to:
â€¢ Distinguish between structured, semi-structured, and unstructured data
â€¢ Separate content from requirements
â€¢ Build Relational and Dimensional Models which leverage text tagging, Ontologies, and Taxonomies
Each participant will receive a copy of all presentation material and a copy of the book â€œData Modeling Made Simpleâ€, by Steve Hoberman.
He is a world-recognized innovator and thought-leader in the field of Data Modeling. He has worked as a Business Intelligence and Data Management practitioner and trainer since 1990, and is a popular presenter at industry conferences, both nationally and internationally. Mr. Hoberman is a columnist and frequent contributor to industry publications, as well as the author of â€œData Modelerâ€™s Workbenchâ€ and â€œData Modeling Made Simpleâ€. He is the founder of the Design Challenges group and inventor of the Data Model Scorecardâ„¢.