Prerequisite: None
This session will include a moderated Q&A featuring questions from the live audience.
The data architecture landscape is filled with buzzwords and competing patterns, each promising to be the ultimate solution. There are more choices today than the traditional data warehouse vs. data lakehouse question or the central vs. distributed decision. In reality, organizations rely on many patterns that exist in a larger data ecosystem.
In this session, Mark Madsen will discuss key architectural patterns used in modern data platforms, how to match them to specific business needs, and how to recognize the strengths and limitations of each. By the end of this session, you will understand the common patterns and why they exist, and you will be prepared to break down the complexity as you embark on your own modernization journey.