Shared Data
Shared Data is a software design concept where multiple processes, threads, or components access and manipulate the same data in memory or storage, enabling communication and coordination in concurrent or distributed systems. It involves mechanisms like shared memory, files, or databases to allow different parts of an application to exchange information efficiently. This concept is fundamental in parallel computing, multi-threaded programming, and distributed architectures to reduce redundancy and improve performance.
Developers should learn and use Shared Data when building applications that require high-performance inter-process communication, such as real-time systems, data-intensive processing, or multi-threaded servers, as it minimizes data copying and latency. It is essential in scenarios like parallel algorithms, caching systems, and microservices architectures where components need to share state or results, but it requires careful management to avoid issues like race conditions and data corruption.