Data Warehouses: Types and Functions

What are the three main types of data warehouses?

A. data marts B. operational data repositories C. enterprise data warehouses D. data lakes

Answer:

The three main types of data warehouses are data marts, operational data repositories, and enterprise data warehouses.

Each type of data warehouse is designed to serve specific data management needs in an organization. Let's dive deeper into each type:

Data Marts

Data marts are smaller, more specialized data warehouses that are designed to serve a specific department or function within a business. They contain a subset of data from the larger enterprise data warehouse and are optimized for the needs of a particular group of users.

Operational Data Repositories

Operational data repositories serve as a middle ground between the operational database system and the data warehouse. They facilitate data cleansing and offer consolidated data in real-time or near-real-time, making them essential for operational decision-making and reporting.

Enterprise Data Warehouses

Enterprise data warehouses cater to the entire organization and house the business's complete data assets. They enable powerful analysis and reporting capabilities across all operational domains, providing a comprehensive view of the organization's data for strategic decision-making.

Understanding the differences between these three types of data warehouses is crucial for organizations to effectively manage their data and derive valuable insights for business growth.