More from this series:
- Data Modeling Mastery: Structuring Data for AI and Analytics
- Data Governance/Stewardship in Action: Governing AI’s Data for Long-Term Value
- Data Quality by Design: Ensuring Reliable Inputs for AI Systems
- Metadata Matters: Powering AI Data Discovery and Context
- Data Warehousing Reimagined: Fueling AI-Powered BI at Scale
- Mastering Reference Data: An AI Essential for Reliable Business Information
About the Webinar
Join us for an insightful webinar where we delve into the world of data modeling. This session will cover the three primary types of data models: conceptual, logical, and physical. We will explore the unique characteristics of each model, highlight their differences, and discuss the scenarios in which each type is most effectively used. Whether you’re a data analyst, database designer, or IT professional, this webinar will equip you with the knowledge to choose the right data model for your projects and enhance your data management skills. Don’t miss this opportunity to expand your data modeling toolkit and improve your understanding of data governance.
About the Speakers
Peter Aiken, Ph.D. is an acknowledged Data Management authority, an associate professor at Virginia Commonwealth University, president of DAMA International, and associate director of the MIT International Society of Chief Data Officers. For more than 40 years, Peter has learned from working with hundreds of Data Management practices in more than 30 countries. Among his 13 books are the first on making the case for data leadership (CDOs), the first focusing on data monetization and modern strategic data thinking, and the first to objectively specify what it means to be data-literate. International recognition has resulted from these and a (pre-Covid-19) intensive worldwide events schedule. Peter also hosts the longest-running Data Management webinar series on dataversity.net. Before Google, before data was big, and before Data Science, Peter founded several organizations that have helped more than 200 businesses leverage data – specific savings have been measured at more than $1.5 billion. His latest venture is Anything Awesome.
