DATABASE-MANAGEMENT<\/a> is the comprehensive practice of organizing, storing, and retrieving data efficiently using a DATABASE-MANAGEMENT-SYSTEM<\/a> (DBMS). This discipline involves the creation of logical structures through DATA-MODELING<\/a> and the maintenance of system performance via DATABASE-ADMINISTRATION<\/a>. The foundation of traditional data storage is the RELATIONAL-DATABASE<\/a>, a concept popularized by EDGAR-F-CODD<\/a>, which utilizes SQL<\/a> (Structured Query Language) for data manipulation. To ensure transaction reliability, these systems must strictly adhere to ACID-PROPERTIES<\/a>. With the rise of BIG-DATA<\/a>, many organizations have integrated NOSQL<\/a> solutions and DISTRIBUTED-SYSTEMS<\/a> to handle high-velocity and high-volume information. Technical documentation from industry leaders like Microsoft SQL Server<\/a> and the PostgreSQL Global Development Group<\/a> provide essential standards for modern implementation.<\/p>