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Big Data Analytic Tools Usage among Academic Libraries in Tanzania

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dc.contributor.author Ponera, Jaffar M.
dc.contributor.author Kyumana, Valeria
dc.date.accessioned 2024-04-25T08:52:53Z
dc.date.available 2024-04-25T08:52:53Z
dc.date.issued 2024
dc.identifier.issn 2231-6108
dc.identifier.uri http://repository.mocu.ac.tz/xmlui/handle/123456789/1279
dc.description © The Research Publication, www.trp.org.in DOI: https://doi.org/10.51983/ajist-2024.14.1.3929 en_US
dc.description.abstract This study examines the implementation of Big Data analytics in Tanzanian University libraries. Employing a qualitative approach within the interpretive paradigm, the study conducted interviews to collect data from 12 library staff across various University libraries in Tanzania. The qualitative data collected was analyzed using Atlasi.ti 7, focusing on emerging themes. The findings established that most University libraries in Tanzania utilize social networking sites for marketing their products and services. However, only a few academic libraries employ analytics tools such as Apache Hadoop, MongoDB, Apache Spark, Tableau, Zoho Analytics, Apache Storm, and others due to insufficient skills. The study concludes that library administrators could greatly benefit from integrating Big Data analytics into their daily operations. Recommendations include developing Big Data analytics policies to ensure proper handling of user data and offering training on the use of such analytic tools to librarians to equip them with necessary skills and techniques. en_US
dc.language.iso en en_US
dc.publisher Asian Journal of Information Science and Technology en_US
dc.relation.ispartofseries Vol.14;No.1
dc.subject University libraries en_US
dc.subject Big Data Analytic Tools en_US
dc.subject Social Media Analytics en_US
dc.subject Tanzania en_US
dc.title Big Data Analytic Tools Usage among Academic Libraries in Tanzania en_US
dc.type Article en_US


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