Abstract：A Big Data smart library recommender system for an educational institution Purpose With the exponential growth of the amount of datathe most sophisticated systems of traditional libraries are not able to fulfill the demands of modern business and user needsThe purpose of this paper is to present the possibility of creating a Big Data smart library as an integral and enhanced part of the educational system that will improve user service and increase motivation in the continuous learning process through content-aware recommendationsDesignmethodologyapproach This paper presents an approach to the design of a Big Data system for collectinganalyzingprocessing and visualizing data from different sources to a smart library specifically suitable for application in educational institutionsFindings As an integrated recommender system of the educational institutionthe practical application of Big Data smart library meets the user needs and assists in finding personalized content from several sourcesresulting in economic benefits for the institution and user long-term satisfactionSocial implications The need for continuous education alters business processes in libraries with requirements to adopt new technologiesbusiness demandsand interactions with usersTo be able to engage in a new era of business in the Big Data environmentlibrarians need to modernize their infrastructure for data collectiondata analysisand data visualizationOriginalityvalue A unique value of this paper is its perspective of the implementation of a Big Data solution for smart libraries as a part of a continuous learning processwith the aim to improve the results of library operations by integrating traditional systems with Big Data technologyThe paper presents a Big Data smart library system that has the potential to create new values and data-driven decisions by incorporating multiple sources of differential dataConsulting ServiceBy using the recommendation system of using big data smart librariesusers can obtain personalized content suggestions to meet their needsRetrieval and IndexingBig data systems will allow users to search and retrieve data from multiple sources and get more accurate and related resultsLibrary AutomationBy integrating traditional systems and big data technologieslibraries can automate their business processes more effectivelythereby improving the operating effectThis study mentioned a big data system that aims to collectanalyzeprocess and visualize data from different sources to use for smart librariesespecially applicable to the application of education institutionsThis means that the system uses data exploration technology to draw information from various data sourcesIn additionwhen it comes torecommendation systemthis is often related to machine learningbecause this system is usually predicted and suggestions based on the users past behavior or other usersbehavior