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المؤلفSoliman E.
المؤلفFetais N.
تاريخ الإتاحة2020-03-18T08:10:06Z
تاريخ النشر2018
اسم المنشور2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/IEEEGCC.2017.8447904
معرّف المصادر الموحدhttp://hdl.handle.net/10576/13288
الملخصVisualization as a mean of big data management is the new century revolution. Managing data has become a great challenge today, as the amount of raw data size is increasing rapidly. For data like electricity consumption, a new data value is received every minute from different areas. This creates the well-known five challenges for any data analyst trying to deliver a visual representation of such huge raw data. Adding to that, a data analyst should understand the four dimensions of the given data; Volume, variety, velocity and veracity. The integration of big data and visualization is the key to addressing real market significant shift in enterprise technology. The aim of the paper is to give an insight of 'how to manage' Qatars electricity consumption from raw data provided by electricity companies. This can lead to a much better visualization solution as analysts and top-level managers can understand how to act towards their resources and plan. ? 2017 IEEE.
راعي المشروعThis work was supported by the KINDI Center for Computing Research at Qatar University 1E. Soliman is a researcher at KINDI Center for Computing Research , Qatar University, 2713, Al Hala St, Doha, Qatar engy.soliman at qu.edu.qa 2N. Fetais is the Director of KINDI Center for Computing Research , Qatar University, 2713, Al Hala St, Doha, Qatar n.almarri at qu.edu.qa
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعBig data
Electricity Consumption
Interactive data visualization
Visualization
العنوانVisualization as a mean of big data management: Using Qatar's electricity consumption data
النوعConference
dc.accessType Abstract Only


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