Data Warehousing Questions Medium
There are three main types of data warehouses:
1. Enterprise Data Warehouse (EDW): This type of data warehouse is designed to support the entire organization and integrates data from various sources across different departments or business units. It provides a centralized and comprehensive view of the organization's data, allowing for analysis and reporting at an enterprise level.
2. Operational Data Store (ODS): An ODS is a real-time or near real-time database that serves as a staging area between operational systems and the data warehouse. It stores current and frequently updated data, allowing for operational reporting and analysis. Unlike a traditional data warehouse, an ODS focuses on operational data rather than historical data.
3. Data Mart: A data mart is a subset of an enterprise data warehouse that is focused on a specific department, function, or business area. It contains a subset of data relevant to the specific needs of a particular group of users. Data marts are typically smaller and more specialized than enterprise data warehouses, providing faster and more targeted access to data for specific analytical purposes.
These different types of data warehouses serve different purposes and cater to different user groups within an organization. The choice of which type to implement depends on the organization's specific requirements, data sources, and analytical needs.