Data Lakes vs Data Warehouses: When to Use What
Data Lakes vs Data Warehouses: When to Use What Choosing between a data lake and a data warehouse is a common crossroads for teams. Both store data, but they serve different needs. A clear view helps you design a practical, scalable data layer that supports analysis today and learning for tomorrow. A data lake stores raw data in its native formats. It uses inexpensive object storage and scales to huge volumes. For data scientists, analysts exploring new ideas, or teams aggregating many sources, the lake feels like a flexible sandbox. You can ingest logs, images, sensor data, and social feeds without forcing a schema at once. ...