The Lakehouse Architecture
Understand the differences between data lakes, warehouses, and Lakehouses. Learn how Databricks and Delta Lake combine the best of both systems to offer reliable, scalable data storage with ACID transactions and schema enforcement. Discover how this unified architecture simplifies workflows for beginners by supporting SQL, Python, and PySpark in a single platform.
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: