How to Jump-Start and Develop Quality Data Designs Using Universal Data Models
Experience has shown that more than 60% of a data model (corporate or application specific) or data warehouse design consists of common constructs that are applicable to most enterprises. This means that most data modelling or data warehouse design efforts spend as much as 60% of their time and budget creating constructs that have been built many, many times before! Doesn’t it make sense, then, to have a source for these common constructs? Get a head start on your data model or data warehousing efforts and stop “reinventing the wheel” each time you develop a new system!
This interactive seminar walks you through the process of using common or “Universal Data Models” for data modelling and data warehouse design. You will leave not only with the concepts behind these models, but also with actual models customized for your organization. We will examine many data modelling and data warehouse pitfalls and learn how to avoid them. These models, hints, and techniques could save your organization a great deal of time and money by avoiding unnecessary redevelopment costs!
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Len Silverston is an author, consultant, lecturer, and pioneer in the field of data management. He has devoted the last 20 years to helping organizations effectively manage, integrate and utilize information by developing quality data models, data warehouses and databases.
He is the author of “The Data Model Resource Book, Volumes 1 and 2” (Wiley, 2001) http://silverston.wiley.com, which was ranked #12 on the computer literacy best seller list and which describe over 230 reusable data models. Many of these universal data models are now licensed worldwide by Microsoft and included within SQL Server Enterprise Edition. The most recent Data Model Resource Book, Volume 2, describing universal data models for various industries is currently being translated into Chinese. Mr. Silverston has been an invited speaker at many international conferences and has contributed dozens of articles to various publications such as Data Management Review and The Data Warehouse Institute’s Journal of Data Warehousing. He is the winner of the 2004 DAMA International Professional Achievement Award. His company, Universal Data Models, provides consulting, training and software to jump-start data modeling efforts and facilitate integration.