The Lakehouse architecture has emerged as the ideal data architecture for the AI age. It unites the structured world of analytics with the rapidly evolving world of AI.But what really makes something a “Lakehouse” and why should you care? In this session, Databricks discusses the key components of a lakehouse, what you should look for when adapting this paradigm and how Databricks and dbt are together enabling analytics engineers, analysts and data scientists to collaborate together on a single unified platform.

Speaker: Thor List, Senior Field Engineering Manager, Databricks

Register for Coalesce at https://coalesce.getdbt.com