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Data are raw facts or figures that have not been processed or analyzed. They become information when they are processed, interpreted, or organized in a specific context to give them meaning or significance.

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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 are the Names of the types of data models in an ER diagram in the proper sequence they should be created?

In an ER diagram, the types of data models created in sequence are entities, attributes, relationships, and constraints. Entities represent the real-world objects, attributes describe the properties of entities, relationships establish connections between entities, and constraints define rules for the relationships or attributes. This sequence helps in organizing the structure and relationships of the data model effectively.


What is infomation?

Information is data that has been processed and organized to convey meaning or knowledge. It can be in various forms such as words, numbers, images, or sounds, used to inform and provide insights on a particular topic or subject.


What is high-level description of a conceptual data?

A conceptual data model is a high-level overview of the structure and relationships within a database. It focuses on the entities, attributes, and relationships between entities without going into the specifics of how the data will be implemented in a physical database. It serves as a blueprint for designing a database system.


What are the different types of information represented in the ER diagram and the symbols used to represent them?

The different types of information represented in an ER diagram are entities (represented by rectangles), attributes (represented by ovals connected to entities), and relationships between entities (represented by diamonds). Entities are the objects or concepts about which data is stored, attributes are the properties of entities, and relationships define how entities are connected to each other.

Related Questions

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 medium is used to convey data symbols?

Data source is used to convey data symbols.


What is entities database?

Entity means a specific thing in both database work and data modeling. An entity is data that can be classified, and has a relationship with other classified data, as in entities.


What is it called when a statement that is weakened to convey a stronger meaning?

a statement that is weakened to convey stronger meaning


What is the meaning of conveyed?

of Convey


What are the characteristics of data model?

A data model specifies the rules and concepts on how to represent objects, their descriptions and how they relate. As such, the data model gives the definitions of the attributes and entities, specifies the datatypes of attributes and give relationships between entities.


What happens to the number of data entities when you normalize?

It increases It increases


What is the definition of symbolic speech?

It is a speech--Using a symbol or gesture to convey meaning, especially political meaning.


I will intimate you on this meaning?

i shall convey you


What does the context-level data flow diagram?

the system entities and how they are related


What is a sentence using convey?

In this sentence, I am trying to convey a certain meaning. Is it coming across?


What is the meaning bearing in survey?

In a survey, the term "meaning bearing" refers to the data that carries significant information or insights. These are responses or feedback that convey valuable or relevant information regarding the survey objectives. Identifying and analyzing meaning-bearing data is crucial for drawing meaningful conclusions and making informed decisions based on survey results.