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Big Data Investment and Knowledge Integration in Academic Libraries

المصدر: مجلة دراسات المعلومات والتكنولوجيا
الناشر: جمعية المكتبات المتخصصة فرع الخليج العربي ودار جامعة حمد بن خليفة للنشر
المؤلف الرئيسي: Manaseer, Saher S. (Author)
مؤلفين آخرين: Alawneh, Afnan Rafiq (Co-Author) , Asoudi, Dua (Co-Author)
المجلد/العدد: مج2, ع1
محكمة: نعم
الدولة: قطر
التاريخ الميلادي: 2019
الصفحات: 1 - 8
DOI: 10.5339/jist.2019.3
ISSN: 2616-4930
رقم MD: 1141691
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: EduSearch, HumanIndex
مواضيع:
كلمات المؤلف المفتاحية:
Big Data | Knowledge Integration | Hadoop | Libraries | Data Management
رابط المحتوى:
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المستخلص: Recently, big data investment has become important for organizations, especially with the fast growth of data following the huge expansion in the usage of social media applications, and websites. Many organizations depend on extracting and reaching the needed reports and statistics. As the investments on big data and its storage have become major challenges for organizations, many technologies and methods have been developed to tackle those challenges. One of such technologies is Hadoop, a framework that is used to divide big data into packages and distribute those packages through nodes to be processed, consuming less cost than the traditional storage and processing methods. Moreover, it allows an organization to store all its data, unlike the traditional methods of selecting and discarding some data. In this study, researchers investigate the investment of Hadoop in managing the academic libraries’ big data, focusing on three Vs (velocity, variety, and volume). The studied population is academic libraries in Jordanian universities, and the results show how Hadoop framework using the map/reduce technique can be used to manage the big data of such libraries.

ISSN: 2616-4930