Computer Science – 8.2 Database Management Systems (DBMS) | e-Consult
8.2 Database Management Systems (DBMS) (1 questions)
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A file-based approach to data management stores data in separate files. This method suffers from several limitations:
- Data Redundancy: Data may be duplicated across multiple files, leading to wasted storage space and inconsistencies.
- Data Inconsistency: Updates to data in one file may not be reflected in other files, resulting in conflicting information.
- Difficult Data Access: Accessing specific data requires complex programs to be written, and data retrieval can be slow.
- Data Integrity Issues: Lack of enforced constraints can lead to invalid or inconsistent data being stored.
- Security Issues: Protecting data can be challenging as there is no central control over access.
A DBMS addresses these limitations through several key features:
- Data Integrity Constraints: DBMSs allow defining constraints (e.g., primary keys, foreign keys, data types) to ensure data accuracy and consistency. This prevents invalid data from being entered.
- Data Consistency: DBMSs enforce rules to maintain data consistency across the entire database. Transactions ensure that a series of operations are treated as a single unit, either all succeeding or all failing, preventing partial updates.
- Efficient Data Access: DBMSs provide query languages (e.g., SQL) and indexing mechanisms for fast and efficient data retrieval.
- Centralized Data Management: A DBMS provides a central point of control for managing data, improving security and access control.
- Reduced Data Redundancy: Normalization techniques are used to reduce data redundancy and improve data integrity.