Database management refers to the actions a business takes to manipulate and control data to meet necessary conditions throughout the entire data lifecycle.
Database management has become more important as the volume of business data has grown. Rapid data growth creates a wide variety of negative conditions, including poor application performance and compliance risk, to name a few. Database management comprises a number of proactive techniques to prevent the deleterious effects of data growth.
A database management task is any task that protects the organization’s data, prevents legal and compliance risk, and keeps data-driven applications performing at their best. This includes performance monitoring and tuning, storage and capacity planning, backup and recovery, data archiving, data partitioning, replication, masking, and retirement.
Database management does not have one objective. There are many, including performance, storage optimization, efficiency, security, and privacy. By controlling data throughout its entire lifecycle, from creation through retirement, organizations can prevent events that degrade efficiency and revenue and boost data integration for greater business intelligence.