The “data” part of the terms “data lake,” “data warehouse,” and “database” is easy enough to understand. Data are everywhere, and the bits need to be kept somewhere.

Data Warehouse vs. Data Lake Both data warehouses and data lakes hold data for a variety of needs. The primary difference is that a data lake holds raw data of which the goal has not yet been ...

What is a data lake? Some mistakenly believe that a data lake is just the 2.0 version of a data warehouse. While they are similar, they are different tools that should be used for different purposes.

Data warehouse vs. data lake. Data lakes, which store files of data in its native format, are essentially “schema on read,” meaning that any application that reads data from the lake will need ...

Snowflake’s data lake and data warehouse combo can be deployed on various public clouds. We believe Snowflake’s solution provides value to its customers in two ways.