What defines bus distribution in data systems?

What defines bus distribution in data systems?

• A. A method of disposing of outdated data
• B. A centralized approach to data processing
• C. A data transportation system where applications interact
• D. A type of database architecture

Answer: (C)

Bus distribution in data systems refers to a data transportation system where various applications interact, enabling the transfer of data between different components without tightly coupling them. This architecture mimics a physical bus, where multiple devices can connect and communicate, facilitating a more flexible and scalable environment. In a bus distribution model, data can be sent across a shared channel that multiple applications can access. This allows for real-time data sharing and can significantly enhance the efficiency of data processing systems by removing dependency barriers among applications. Other options do not capture the essence of bus distribution accurately. For example, disposing of outdated data pertains more to data lifecycle management rather than the distribution mechanism itself. A centralized approach to data processing suggests a singular, unified system that contrasts with the decentralized interaction model inherent in bus distribution. Lastly, while bus architecture can inform database design, describing it as a type of database architecture is insufficient; it primarily describes how applications interact and share data rather than focusing solely on the database structure.

Bus distribution in data systems refers to a data transportation system where various applications interact, enabling the transfer of data between different components without tightly coupling them. This architecture mimics a physical bus, where multiple devices can connect and communicate, facilitating a more flexible and scalable environment.

In a bus distribution model, data can be sent across a shared channel that multiple applications can access. This allows for real-time data sharing and can significantly enhance the efficiency of data processing systems by removing dependency barriers among applications.

Other options do not capture the essence of bus distribution accurately. For example, disposing of outdated data pertains more to data lifecycle management rather than the distribution mechanism itself. A centralized approach to data processing suggests a singular, unified system that contrasts with the decentralized interaction model inherent in bus distribution. Lastly, while bus architecture can inform database design, describing it as a type of database architecture is insufficient; it primarily describes how applications interact and share data rather than focusing solely on the database structure.