Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2665
Title: Perceptions, Expectations and Implementations of Big Data in Public Sector
Other Titles: Kamuda Büyük Veri: Alglar, Beklentiler ve Uygulamalar
Authors: Doğdu, Erdoğan
Özbayoğlu, Murat
Yazıcı, Ali
Karakaya, Ziya
Keywords: Big data
public sector
streaming data
Issue Date: Dec-2019
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Dogdu, E., Ozbayoglu, M., Yazici, A., and Karakaya, Z. (2018, September). Perceptions, Expectations and Implementations of Big Data in Public Sector: Kamuda Büyük Veri: Alglar, Beklentiler ve Uygulamalar. In 2018 3rd International Conference on Computer Science and Engineering (UBMK) (pp. 615-620). IEEE.
Abstract: Big Data is one of the most commonly encountered buzzwords among IT professionals nowadays. Technological advancements in data acquisition, storage, telecommunications, embedded systems and sensor technologies resulted in huge inflows of streaming data coming from variety of sources, ranging from financial streaming data to social media tweets, or wearable health gadgets to drone flight logs. The processing and analysis of such data is a difficult task, but as appointed by many IT experts, it is crucial to have a Big Data Implementation plan in today's challenging industry standards. In this study, we performed a survey among IT professionals working in the public sector and tried to address some of their implementation issues and their perception of Big Data today and their expectations about how the industry will evolve. The results indicate that most of the public sector professionals are aware of the current Big Data requirements, embrace the Big Data challenge and are optimistic about the future.
Description: 3rd International Conference on Computer Science and Engineering (UBMK) (2018: Sarajevo, Bosnia & Herceg)
URI: https://ieeexplore.ieee.org/document/8566540
https://hdl.handle.net/20.500.11851/2665
ISBN: 9.78154E+12
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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