A fuzzy database engine for mongoDB
Juan Miguel Medina, Ignacio J. Blanco, Olga Pons
Abstract
Big Data are a paradigm through which valuable information is achieved through the analysis of a large amount of data. The sources of these data can be varied, from data streams that will be processed in real time, to the exploitation of transactional data stored in databases. For this last use, due to their scalability, the NoSQL databases, like mongoDB, a DBMS oriented to documents, have been consolidated as a powerful tool for the storage and processing of large volumes of data. On the other hand, information sources for Big Data algorithms can contain imprecise information, and the way to obtain, aggregate and present results
Topics & Concepts
NoSQLComputer scienceDatabaseSearch engine indexingScalabilityFuzzy logicBig dataData miningProcess (computing)Information retrievalOperating systemArtificial intelligenceData Management and AlgorithmsAdvanced Database Systems and QueriesCloud Computing and Resource Management