Difference between a data warehouse and a data lake

Data warehouses and data lakes are used worldwide. They are used to store big data. So they are alike but not the same. Data warehouses are repositories for filtered and structured data that have already been processed for specific purposes. Data lakes are vast pools of raw data, the purpose of which is yet undefined.

These two data storage types are often confused, even by professionals. They are more different than they are the same. They share the function of storing data.

The difference between the two data concepts and their principles is important because they serve different purposes (they solve different problems). For one company, a data lake is a better fit; for another, a data warehouse is a better fit.

Data Lake Architecture Demo

Here you can learn how to generate a Data Lake Architecture Diagram. Fast, easy & nice and of added business value.