Data Warehouse vs. Data Lakehouse
- David Giard
- Jun 10
- 1 min read
The video explores the fundamental differences between Lakehouses and Data Warehouses, highlighting how Lakehouses merge elements of data lakes and warehouses to support both structured and unstructured data, enabling diverse processing workloads such as batch processing, streaming, and machine learning. Utilizing cloud storage for scalability and flexibility, Lakehouses provide a unified platform for various data types. In contrast, Data Warehouses are specifically designed for structured data, optimized for query performance and reporting through a schema-on-write approach, making them ideal for business intelligence and historical data analysis.
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