An effective data management strategy ensures that data remains accurate, secure, and scalable across its entire lifecycle. This article explores proven methods for building such a strategy — from performance optimization to automation and AI-powered analytics.
The guide also highlights how dbForge Edge, a feature-rich database IDE for SQL Server, MySQL, MariaDB, PostgreSQL, Oracle, and a wide range of cloud services, helps apply these best practices through automation, schema comparison, and source control.