The Lakehouse Architecture
Discover the Lakehouse architecture and how it integrates the flexibility of data lakes with the structure of data warehouses. Learn how Databricks and Delta Lake create a reliable platform supporting SQL queries, analytics, and machine learning. Understand key concepts like ACID transactions, schema enforcement, and time travel to manage scalable data workflows efficiently.
Before writing code or running notebooks in Databricks, it is important to know where your data lives and why different storage systems exist. Beginners often confuse data lakes, data warehouses, and Lakehouses because the terms are used interchangeably. This lesson provides clarity.
What is a data warehouse?
A data warehouse is a system designed primarily for structured data and analytics. It stores clean, processed data in tables that analysts can query using SQL.
Here is what makes a data warehouse distinct from other storage systems: