A data mart is a smaller, focused subset of a data warehouse, designed to serve the specific analytical needs of a particular department or business unit, like marketing or sales, providing quicker access to relevant data for faster decision-making.
Why do we need it?
Data marts are created to address the need for specific, targeted data analysis within a company,
rather than the broad, enterprise-wide analysis that a data warehouse supports. They bring the
right data to the right people — faster.
Key Benefits
- Faster Data Access: Users can quickly access the data they need without sifting through a larger, more complex data warehouse.
- Improved Efficiency: Data marts enable teams to focus on specific analytical tasks, leading to better decision-making and improved efficiency.
- Cost-Effective: Often less expensive and easier to implement than full-fledged data warehouses, especially for smaller organizations or specific business units.
Types of Data Marts
Dependent Data Mart
Sourced directly from an enterprise data warehouse, ensuring consistency and a single version of truth.
Independent Data Mart
Created independently without a central warehouse, sourcing data directly from operational systems.
Hybrid Data Mart
Combines inputs from both a data warehouse and external operational systems for maximum flexibility.