An RDBMS stores data in tables that are linked by relationships, which helps maintain data consistency and integrity. This structured format allows for complex queries and data retrieval while managing relationships between different data sets.
A data warehouse is designed to consolidate and integrate data from various sources to support analysis and reporting. It provides a central repository where data can be aggregated and analyzed to facilitate business intelligence and decision-making.
Data normalization involves organizing a database to reduce redundancy and improve data integrity. This process typically involves dividing a database into two or more tables and defining relationships between the tables to minimize duplicate data and ensure data dependencies are properly managed.
Data replication involves creating copies of data across different locations or systems to ensure availability and prevent data loss in the event of a failure or disaster. This strategy helps in maintaining data continuity and reliability.
Data integrity involves ensuring that data is accurate, consistent, and reliable throughout its lifecycle. This includes measures to prevent data corruption and maintain the quality of data as it is stored, processed, and retrieved.
