Three differences between data warehouses and data lakes

Both data warehouses and data lakes are essential data storage solutions commonly used across the business world.

Despite the similar-sounding names for both terms, however, the two are not interchangeable.

These are three of the most important differences between data warehouses and data lakes, as well as how businesses use the two to organize their big data.

  1. The Structure of Stored Data
  2. The Purpose of Stored Data
  3. The Security of Stored Data

1. The Structure of Stored Data

A data warehouse stores data much like an actual warehouse. After important information is ingested into the warehouse, the data will be extracted, cleaned and made consistent with other types of data in the system.

 

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