{"id":1981,"date":"2026-04-01T10:54:26","date_gmt":"2026-04-01T08:54:26","guid":{"rendered":"https:\/\/dynamictools.io\/?post_type=glossar&p=1981"},"modified":"2026-04-01T10:54:26","modified_gmt":"2026-04-01T08:54:26","slug":"relational-database","status":"publish","type":"glossar","link":"https:\/\/dynamictools.io\/en\/glossar\/relationale-datenbank\/","title":{"rendered":"Relational Database"},"content":{"rendered":"

One Relational Database<\/strong> is a fundamental concept in information technology, used for the structured storage, management, and querying of data. It organizes information into tables that are logically linked, enabling high data integrity and flexibility in data analysis.<\/p>\n\n\n\n

Definition<\/h2>\n\n\n\n

At its core, a Relational Database<\/strong> A database system based on the relational data model. This model was introduced by Edgar F. Codd and is characterized by the representation of data as tuples (rows) in relations (tables). Relationships between these tables are defined via primary and foreign keys, which ensures data consistency and traceability. Operations are performed using the standardized query language SQL (Structured Query Language).<\/p>\n\n\n\n

Features and Functionality<\/h2>\n\n\n\n

The architecture of a Relational Database<\/strong> promotes data normalization to minimize redundancies and maximize data integrity. Each table represents an entity and contains columns (attributes) and rows (records). A primary key uniquely identifies each record within a table, while foreign keys establish links to records in other tables.<\/p>\n\n\n\n