Data Warehouses vs Data Lakes: A Practical Guide
Data Warehouses vs Data Lakes: A Practical Guide Data warehouses and data lakes are two common ways teams store and analyze data. They each have strengths, and many organizations use both. The goal is to pick the right tool for the right task and connect them so insights flow smoothly. A data warehouse is built for speed and reliability. It stores structured data that has been cleaned and organized. Reports and dashboards run quickly when data is well prepared. A data lake, by contrast, keeps data in its raw form and in many formats. It is a flexible collection area for experimentation, data science work, and future needs you might not foresee today. ...