Description: Distributed State refers to a data management model in distributed systems where the state of an application is shared and maintained across multiple nodes. This approach allows applications to process large volumes of data in real-time, ensuring consistency and availability of state in an environment where nodes may fail or be dynamically added. In the context of real-time data processing frameworks, distributed state is fundamental for executing streaming and batch applications. These frameworks employ a state management mechanism that enables developers to efficiently store and retrieve information, ensuring that the state remains consistent even in failure situations. Key features of distributed state include the ability to scale horizontally, fault tolerance, and the capability to perform real-time updates. This is particularly relevant in applications requiring continuous processing, such as real-time data analytics, system monitoring, and complex event processing. In summary, distributed state is an essential component for building robust and scalable applications in distributed computing environments.
