Which of the following data models is more flexible?

Explanation

The most flexible data model among the choices is:C. Relational data modelHere's why relational data models are considered more flexible:Tables with defined relationships: Data is stored in two-dimensional tables with rows and columns, allowing for efficient organization and easy retrieval. Relationships between tables are established through foreign keys, enabling connections between related data points across tables.Schema changes: The structure (schema) of a relational database can be modified relatively easily to accommodate new data requirements. You can add new tables, columns, or modify existing ones without impacting the entire database structure.Data normalization: Relational databases follow principles of data normalization to minimize redundancy and improve data integrity. This reduces the risk of errors and inconsistencies.SQL queries: Structured Query Language (SQL) is a powerful and versatile language for querying, manipulating, and managing data in relational databases. SQL makes it easy to retrieve specific data based on complex criteria.Here's why the other options are less flexible:A. Network data model: Offers more flexibility than hierarchical models but still has limitations. It allows one child record to have many parent records, but the structure can become complex for representing intricate relationships.B. Hierarchical data model: Enforces a strict parent-child tree-like structure where each child record can have only one parent. This rigidity makes it less suitable for modeling complex relationships between data entities.D. Object-oriented data model: While powerful for representing complex data objects and their relationships, object-oriented data models can be more complex to design and implement compared to relational models