Description: Federated Search is a search technique that allows users to search multiple databases or repositories simultaneously. This methodology is based on the integration of various information sources, facilitating access to dispersed data and improving efficiency in information retrieval. Through a single entry point, users can perform queries that are distributed to different systems, obtaining results more quickly and effectively. Federated Search is particularly relevant in environments where information is fragmented across multiple platforms, such as in digital libraries, content management systems, and academic databases. This technique not only optimizes search time but also allows users to access a greater variety of data, enriching the quality of the retrieved information. Additionally, Federated Search can include normalization and relevance mechanisms, ensuring that the results are pertinent and useful for the end user. In the context of distributed computing, this technique becomes even more crucial, as it allows for efficient searching of data that may be stored on various devices or in the cloud, facilitating real-time decision-making and enhancing user experience.
