Which of the following is NOT a scheme used to represent Data Modeling?

Which of the following is NOT a scheme used to represent Data Modeling?

• A. Dimensional
• B. Time-based
• C. Hierarchical
• D. NoSQL

Answer: (C)

The choice indicated as correct is a classification that is commonly not recognized as a conventional scheme for representing data modeling in the same way as the others. Dimensional modeling is widely used in data warehousing and focuses on structuring data for analysis, often using facts and dimensions. Time-based modeling refers to the representation of data that incorporates temporal elements, analyzing how data changes over time, which is important in various applications, particularly in time series analysis. NoSQL refers to a category of database technologies that provide flexible schema design, enabling support for a wide range of data models. It emphasizes scalability and performance, making it quite relevant in modern data management contexts. In contrast, hierarchical modeling, while a valid representation of data structures, is less commonly employed in contemporary data modeling scenarios compared to these options. Hierarchical data representation pre-dates many of the more advanced and flexible models like dimensional and NoSQL. This limitation in its application and adoption in current data management practices is what distinguishes it in this context.

The choice indicated as correct is a classification that is commonly not recognized as a conventional scheme for representing data modeling in the same way as the others. Dimensional modeling is widely used in data warehousing and focuses on structuring data for analysis, often using facts and dimensions.

Time-based modeling refers to the representation of data that incorporates temporal elements, analyzing how data changes over time, which is important in various applications, particularly in time series analysis.

NoSQL refers to a category of database technologies that provide flexible schema design, enabling support for a wide range of data models. It emphasizes scalability and performance, making it quite relevant in modern data management contexts.

In contrast, hierarchical modeling, while a valid representation of data structures, is less commonly employed in contemporary data modeling scenarios compared to these options. Hierarchical data representation pre-dates many of the more advanced and flexible models like dimensional and NoSQL. This limitation in its application and adoption in current data management practices is what distinguishes it in this context.