Dimensional Data Modeling in the Modern Era
Dimensional data modeling has been the cornerstone of data warehousing and business intelligence for decades, but its relevance is increasingly questioned in today’s rapidly evolving data landscape. With the emergence of big data, cloud computing, and AI-driven analytics, many wonder if the traditional principles of dimensional modeling still hold value. In this session, we’ll take a deep dive into the evolution of dimensional modeling, exploring how it has adapted to modern technologies like data lakes, real-time analytics, and scalable cloud platforms. We’ll also discuss why, despite these technological advancements, dimensional modeling continues to be a vital framework for building data systems that are not only scalable and high-performing but also intuitive and easy to manage. This session will provide valuable insights for anyone looking to understand the enduring importance of dimensional modeling in the modern era.
Dustin Dorsey
Principal Data Architect at Onix
Dustin is currently a Principal Data Architect at Onix where he leads data and analytic initiatives for some of the most innovative companies in the world. He has over 16 years of experience working with data across various industries, serving in diverse roles such as administration, development, analytics, and leadership. He is a community leader who loves learning from and teaching others which has led him to organize tech events and meetups for the past decade. He is one of the founders of the Nashville Data Engineering group and DataTune Nashville. Dustin is also co-author of “Pro Database Migration to Azure” and "Unlocking dbt" and is a regular speaker at data events around the world.
