Abstract
New technologies such as Internet of Things (IoT) and social media enable people to consciously and unconsciously generate large volumes of data daily, 24 hours a day and thus originated the concept of Big Data. The purpose of this paper is to present an overview of Big Data applications and challenges based on a literature review. Today, Big Data use is continuously increasing in different sectors such as business, medicine, criminology, tourism, energy, smart buildings, smart cities, research or development and others. This new technology is highly promising. However, it also presents challenges such as security, data quality, infrastructure as well as new roles, responsibilities and competences.
Original language | English |
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Title of host publication | Proceedings of the 32nd International Business Information Management Association Conference, IBIMA 2018 - Vision 2020 |
Subtitle of host publication | Sustainable Economic Development and Application of Innovation Management from Regional expansion to Global Growth |
Editors | Khalid S. Soliman |
Publisher | International Business Information Management Association, IBIMA |
Pages | 6237-6244 |
Number of pages | 8 |
ISBN (Electronic) | 9780999855119 |
State | Published - 2018 |
Externally published | Yes |
Event | 32nd International Business Information Management Association Conference, IBIMA 2018 - Seville, Spain Duration: 15 Nov 2018 → 16 Nov 2018 |
Publication series
Name | Proceedings of the 32nd International Business Information Management Association Conference, IBIMA 2018 - Vision 2020: Sustainable Economic Development and Application of Innovation Management from Regional expansion to Global Growth |
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Conference
Conference | 32nd International Business Information Management Association Conference, IBIMA 2018 |
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Country/Territory | Spain |
City | Seville |
Period | 15/11/18 → 16/11/18 |
Bibliographical note
Publisher Copyright:Copyright © 2018 International Business Information Management Association (IBIMA).
Keywords
- Application
- Big data
- Challenges
- Data analysis