What does the acronym RPC stand for in the context of data modeling?

In the context of data modeling, RPC stands for Remote Procedure Call. This is a protocol that allows one program to execute a procedure (subroutine) in another address space as if it were a local procedure call, enabling communication between different systems or components over a network.

The significance of RPC lies in its ability to facilitate distributed computing. By abstracting the complexities of the network communication, it allows developers to focus on the code logic rather than the underlying networking details. This methodology is particularly useful in client-server architectures, where a client requests services from a server and expects a response.

Using RPC enables seamless integration of different systems, often leading to increased efficiency and modularity in software development, as it simplifies the procedure calls across the network without the developer needing to manage complex socket connections manually.

In contrast, the other acronyms provided do not accurately describe the concept of executing procedures over a network in data modeling.