What is the primary difference between a Data Warehouse and a Data Mart?
- Data Warehouses and Data Marts are terms used interchangeably
- Data Warehouses are smaller in size compared to Data Marts
- Data Warehouses are used for transaction processing, while Data Marts are used for data encryption
- Data Warehouses store historical data from various sources, while Data Marts focus on specific business areas
The primary difference between a Data Warehouse and a Data Mart is the scope. Data Warehouses store historical data from various sources, providing a comprehensive view, while Data Marts focus on specific business areas, offering a more targeted and specialized perspective.
Loading...
Related Quiz
- When would you use specialization instead of a regular entity in data modeling?
- Which tools are commonly used for collaboration in data modeling?
- How does data redundancy compare between a Star Schema and a Snowflake Schema?
- Star Schema often leads to _______ query performance compared to Snowflake Schema.
- What are the key differences between a fact table and a transactional table in a relational database?