answersLogoWhite

0

In computer science, data modeling is the process of creating a data model by applying a data model theory to create a data model instance. A data model theory is a formal data model description.

For the source and more detailed information concerning your request, click on the related links section (Answers.com) indicated below.

User Avatar

Meghan Hammes

Lvl 10
3y ago

What else can I help you with?

Continue Learning about Computer Science

Explain data model?

Explain data model?


What are the key differences between an information model and a data model, and how do they impact the overall design and structure of a system?

An information model focuses on the organization and relationships of data within a system, while a data model specifically defines the structure and format of the data itself. The information model guides how data is stored and accessed, while the data model dictates the specific attributes and relationships of the data. These models impact the overall design and structure of a system by ensuring data consistency, accuracy, and efficiency in data management and retrieval.


2 Explain why navigation is simple in Relational Data Model than in Hierarchical?

Navigation in the Relational Data Model is simpler than in the Hierarchical Data Model due to the relational structure of tables linked by common keys. In the Relational Data Model, data is organized into tables with rows and columns, allowing for easy querying and retrieval of information using SQL queries. On the other hand, in the Hierarchical Data Model, data is organized in a tree-like structure with parent-child relationships, making navigation more complex and requiring traversal of multiple levels to access specific data points.


What is the difference between data model and database model?

A database is a collection of tables that is used for some purpose (typically an application of some sort). A database model is a description of that database, and describes how the tables relate to each other. Typically, a model is designed first, then the actual database is implemented using the model as a blueprint.


What is the process for system identification in the context of data analysis and modeling?

System identification in data analysis and modeling involves collecting data from a system, analyzing it to understand the system's behavior, and creating a mathematical model that represents the system accurately. This process typically includes data collection, preprocessing, model selection, parameter estimation, and model validation. The goal is to develop a model that can predict the system's behavior and make informed decisions based on the data.

Related Questions

Explain data model?

Explain data model?


Define data models and list different types of data models?

A data model is a collection of concepts that can be used to describe the structure of a database and provides the necessary means to achieve this abstraction whereas structure of a database means the data types,relationships and constraints that should hold on the data. Data model are divided into three different groups they are 1)object based logical model 2)record based logical models 3)physical models Types: Entity-Relationship (E-R) Data Model Object-Oriented Data Model Physical Data Model functional data model


What is the lowest data model?

The lowest data model is the physical data model. It represents how data is stored on a specific type of hardware and helps optimize storage and retrieval. It is the closest to the physical implementation in a database system.


What are the Classification of data model?

Data models can be classified into three main categories: conceptual data model (high-level view of the data and its relationships), logical data model (detailed structure of the data and relationships), and physical data model (implementation of the database design on a specific database management system).


Advantages of flat data model?

two main early navigational data models were the hierarchical model and the CODASYL model (network model)


What Data model is said to be a semantic data model?

An Entity-Relationship (ER) model is commonly referred to as a semantic data model. It focuses on defining the entities, attributes of the entities, and the relationships between entities to capture the meaning of data in a domain. This model helps to visualize and understand the semantics of the data being represented.


What is the data modeler?

Physical Data Model


What is a record-based data model?

-> A record based data model is used to specify the overall logical structure of the database.-> In this model the database consists of a no. of fixed formats of different types.-> Each record type defines a fixed no. of fields having a fixed length.-> There are 3 principle types of record based data model. They are :1. Hierarchical data model.2. Network data model.3. Relational data model.


What are the key differences between an information model and a data model, and how do they impact the overall design and structure of a system?

An information model focuses on the organization and relationships of data within a system, while a data model specifically defines the structure and format of the data itself. The information model guides how data is stored and accessed, while the data model dictates the specific attributes and relationships of the data. These models impact the overall design and structure of a system by ensuring data consistency, accuracy, and efficiency in data management and retrieval.


What is the differences between model driven and data driven?

Model data driven user interacts primarily with a mathematical model and its results while data driven DSS is user interacts primarily with the data


Describe three commonly used data models?

Enterprise data model, Relational model and ????


What is the job of a infastructure analyst in database modeling?

A data model is a collection of conceptual tools for describing data, data relationships, data semantics, and consistency constraints.2 data models : the entity-relationship model and the relational modelER model is a high-level data model. It is based on a perception of a real world that consists of a collection of basic objects, called entities, and of relationships among these objects.The relational model is a lower-level model. It uses a collection of tables to represent both data and the relationships among those data.