Final answer:
Data organization models such as hierarchical, network, relational, and NoSQL are chosen based on the data's structure and interrelationships. Hierarchical is for tree-like structures, network for complex relationships, relational for tables with schemas, and NoSQL for unstructured or large volumes of data.
Step-by-step explanation:
The choice between a hierarchical, network, relational, and NoSQL model when organizing data depends on the structure and requirements of the data. Hierarchical models are used when organizing data in a tree-like structure, where each record has a single parent, akin to a family tree. This model is suitable, for instance, for organizational charts or file system directories.
A network model is appropriate when establishing complex relationships between entities. Unlike the hierarchical model, the network model allows each record to have multiple parents. This is helpful when dealing with more complex data scenarios like transportation networks or circuit layouts.
The relational model is employed when storing data in tables with predefined schemas. It's based on the theory of sets and is widely used due to its flexibility in querying and managing databases, like in customer relationship management systems or inventory control systems.
NoSQL comes into play when working with unstructured or semi-structured data. This model is designed to handle a variety of data formats and large volumes of data, making it ideal for big data applications, real-time web apps, and for storing data collected from social media platforms.