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About the Presentation
Meta-integration is considered data warehousing by some, while others describe it as data virtualization. This presentation provides an overview of meta-integration starting with organizational requirements. We will discuss how meta-models can be used to jump-start organizational efforts. Participants will understand the strengths and weaknesses of various technological capabilities, and the key role of data quality in all of them.
- What are data warehousing, analytics, BI and meta-integration technologies and why are they important?
- Organizational requirements
- Strengths and weaknesses of technological capabilities
- Top 10 data warehouse failures
- They key role of data quality
- The use of Meta models
- Guiding principles & best practices
About the Speaker
Peter Aiken is an award-winning, internationally recognized thought leader in the area of organizational data management, architecture, and engineering. As a practicing data manager, consultant, author and researcher, he has been actively performing and studying these areas for more than 30 years. His sixth book is titled XML in Data Management. He has held leadership positions with the US Department of Defense and consulted with more than 50 organizations in 20 different counties. Dr. Aiken’s achievements have resulted in recognition in Outstanding Intellectuals of the 21st Century and bibliographic entries in Who’s Who of Emerging Leaders in America, Who’s Who in Science and Engineering, and other recognitions. His entertaining but clear and concise insights make him a sought after speaker, lecturer and consultant. He is an Associate Professor in Virginia Commonwealth University’s Information Systems Department and the Founding Director of datablueprint.com.
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