S1E2 Data Warehouse vs Lakehouse

Welcome to today's Data Warehouse vs. Lakehouse podcast for Data leaders and executives. In this episode, we will discuss the critical differences between these two approaches to data management and which one might be best suited for your organization.
First, let's define what we mean by Data Warehouse and Lakehouse. A Data Warehouse is a centralized data repository optimized for querying and analysis. It is typically built using a structured, relational database. It supports business intelligence (BI) and analytics use cases. A Lakehouse, on the other hand, is a newer concept that combines the scalability and flexibility of a data lake with the structure and governance of a data warehouse. It supports BI and advanced analytics use cases like machine learning and AI.