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AuthorSoliman E.
AuthorFetais N.
Available date2020-03-18T08:10:06Z
Publication Date2018
Publication Name2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017
URIhttp://dx.doi.org/10.1109/IEEEGCC.2017.8447904
URIhttp://hdl.handle.net/10576/13288
AbstractVisualization 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.
SponsorThis 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
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectBig data
SubjectElectricity Consumption
SubjectInteractive data visualization
SubjectVisualization
TitleVisualization as a mean of big data management: Using Qatar's electricity consumption data
TypeConference Paper


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