Description: Distributed query is an approach that allows executing queries in a distributed system, where data is spread across multiple nodes. This type of query is characterized by its ability to efficiently process large volumes of data, leveraging the parallelization and scalability offered by distributed architectures. In a general context, distributed queries enable users to perform complex analyses on data streams and static datasets, using programming models that facilitate the creation of data processing applications. Queries are executed concurrently across different nodes, reducing response time and improving overall system performance. Additionally, distributed systems provide a fault-tolerant execution environment, meaning that queries can continue running even if some nodes fail, ensuring data availability and integrity. This approach is fundamental in applications requiring real-time analysis, such as network monitoring, fraud detection, and content personalization, where speed and accuracy are crucial.
