Abstract：Hakka genealogical migration analysis enhancement using big data on library services Purpose The purpose of this paper is to explore the data connectionspatial distribution characteristics and trends in genealogical informationFirstit implements a spatial-temporal visualization of the Hakka genealogical information system that makes these individual family pedigree charts appear as one seamless genealogy to family and researchers seeking connections and family history all over the worldSecondthis study applies migration analysis by applying big data technologies to Hakka genealogies to investigate the migration patterns of the Hakka ethnic group in Taiwan between 1954 and 2014This innovative library service enhances the Hakka genealogical migration analysis using big dataDesignmethodologyapproach The platform is designed for the exchange of genealogical data to be used in big data analysisThis study integrates big data and geographic information systemsGISto map the population distribution themesThe general procedure included collecting genealogical big datageographic encodinggathering the map informationGIS layer integration and migration map productionFindings The analytical results demonstrate that big data technology is highly appropriate for family migration history analysisgiven the increasing volumevelocity and variety of genealogical dataThe spatial-temporal visualization of the genealogical research platform can follow family history and migration pathsand dynamically generate roadmaps to simplify the cartographic stepsPractical implications Technology that combines big data and GIS is suitable for performing migration analysis based on genealogyA web-based application for spatial-temporal genealogical information also demonstrates the contribution of innovative library servicesSocial implications Big data play a dominant role in library servicesand in turnprovide an active library serviceThese findings indicate that big data technology can provide a suitable tool for improving library servicesOriginalityvalue Online genealogy and family trees are linked with large-volumegrowing data sets that are complex and have multipleautonomous sourcesThe migration analysis using big data has the potential to help genealogy researchers to construct minority ethnic historyConsultation serviceis related toretrievalbecause they provide tools and platforms for analysis and inquiry of genealogy dataThis study shows innovative library servicesThese services use big data technology to enhance the analysis of the Hakka family spectrum immigrantsThis article uses big data technology to analyze the Hakka family spectrum to study the Hakka family immigration model from 1954 to 2014Using big data technology for family immigration history analysisespecially considering the growthspeed and diversity of genealogy dataThis involves data explorationespecially when analyzing and visualization of these data to identify and understand the migration mode