The fundamental feature of an RDBMS is its organization of data into tables. These tables are structured in rows (tuples) and columns (attributes), forming a relational model. 1. Tabular Structure: Each table in an RDBMS has a unique name and predefined columns, where rows contain individual records. This logical structure makes data easy to query and manipulate. 2. Relational Integrity: Relationships between tables are established using keys such as primary keys and foreign keys. 3. Query Language: SQL is employed for querying, updating, and managing the data efficiently. 4. Advantages: Data consistency, integrity, and flexibility in querying make RDBMS a preferred choice for structured data applications. This tabular format is what differentiates relational databases from other models, enabling structured, predictable, and optimized data access. Why Other Options Are Incorrect: • A) Stores data in hierarchical structures: This describes hierarchical databases, not RDBMS. Hierarchical databases organize data in a tree-like structure. • B) Uses fixed-length files for data storage: While file-based systems may use fixed-length records, RDBMS offers dynamic storage. • D) Data is stored as key-value pairs: Key-value pair storage is a characteristic of NoSQL databases, not RDBMS. • E) Supports only unstructured data formats: RDBMS focuses on structured data stored in a well-defined schema, unlike systems designed for unstructured data (e.g., document databases).
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