Data warehouses and data lakes are really important for universities, especially for research and analysis. Let’s break down what each one is:

• Data Warehouses:

  • These store organized data that comes from different places.
  • They are great for reports and questions. This helps researchers get quick insights from clean and well-organized data.

• Data Lakes:

  • These hold large amounts of raw data that isn’t organized yet.
  • They are perfect for exploring data, allowing researchers to look into different kinds of information without strict rules.

From my experience, using both data warehouses and data lakes gives a complete approach. Data warehouses provide a solid source for regular questions, while data lakes encourage new ideas by giving access to a wider range of data types.

Together, they help universities make better decisions and achieve important research results!