Question :
List the guidelines for data design. Name the commonly used architectural styles.
Subject
Software Engineering
Standard
Computer Science Engineering
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404
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Knowledge
Anik
Answer / Solution
Answer / Solution
Sure. Here are some guidelines for data design:
- Identify the data entities: The first step in data design is to identify the data entities that will be used in the system. Data entities are the basic units of data that are stored in the system. They can be anything from customer records to product inventory.
- Define the data relationships: Once the data entities have been identified, the next step is to define the data relationships. Data relationships are the connections between data entities. They can be one-to-one, one-to-many, or many-to-many relationships.
- Design the data structures: The next step is to design the data structures. Data structures are the way that the data is stored in the system. They can be tables, indexes, or views.
- Define the data constraints: The next step is to define the data constraints. Data constraints are the rules that govern the data. They can be data types, data lengths, or data ranges.
- Document the data design: The final step is to document the data design. This documentation should include the data entities, data relationships, data structures, data constraints, and any other relevant information.
Here are some commonly used architectural styles:
- Data-centered architecture: In data-centered architecture, the data is the central focus of the system. The system is designed to store, manage, and retrieve data efficiently.
- Object-oriented architecture: In object-oriented architecture, the system is designed around objects. Objects are self-contained units of data and code.
- Layered architecture: In layered architecture, the system is divided into layers. Each layer performs a specific function. For example, the presentation layer is responsible for displaying data to the user, the application layer is responsible for processing data, and the data layer is responsible for storing data.
- Client-server architecture: In client-server architecture, the system is divided into two parts: the client and the server. The client is responsible for displaying data to the user and sending requests to the server. The server is responsible for processing data and sending responses to the client.
These are just a few of the many guidelines and architectural styles that can be used in data design. The specific guidelines and styles that are used will depend on the specific requirements of the system.
Alexandria
Answer / Solution
Answer / Solution
Here are some guidelines for data design:
- Identify the data requirements: The first step in data design is to identify the data requirements. This means understanding what data is needed, how it will be used, and by whom.
- Model the data: Once the data requirements are known, the next step is to model the data. This means creating a representation of the data that shows its relationships and structure.
- Choose the right data types: The next step is to choose the right data types for the data. This means choosing data types that are appropriate for the data's meaning and use.
- Define the data constraints: The next step is to define the data constraints. This means defining the rules that govern the data, such as what values are allowed and what values are not allowed.
- Normalize the data: The next step is to normalize the data. This means organizing the data in a way that minimizes redundancy and ensures data integrity.
- Create the data dictionary: The final step is to create the data dictionary. This is a document that describes the data in the system, including its meaning, format, and usage.
Here are some of the commonly used architectural styles:
- Data-centered architecture: This architecture is centered around the data. The data is stored in a central repository, and the application components access the data from the repository.
- Object-oriented architecture: This architecture is centered around objects. Objects are self-contained units of data and behavior. The application components are made up of objects, and the objects interact with each other to perform tasks.
- Layered architecture: This architecture is divided into layers. Each layer has a specific responsibility. For example, the presentation layer is responsible for displaying data to the user, the business layer is responsible for processing data, and the data access layer is responsible for accessing data from the database.
- Client-server architecture: This architecture divides the application into two parts: the client and the server. The client is responsible for displaying data to the user and sending requests to the server. The server is responsible for processing requests and sending data back to the client.
- Microservices architecture: This architecture is a newer architectural style that is based on the idea of breaking down an application into small, independent services. Each service is responsible for a specific task, and the services communicate with each other using well-defined APIs.
These are just a few of the many architectural styles that can be used for software development. The best architectural style for a particular project will depend on the project's requirements and constraints.
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