Big Data: Concepts, Technologies and Applications in the Public Sector
Big Data (BD) is associated with a new generation of technologies and architectures which can harness the value of extremely large volumes of very varied data through real time processing and analysis. It involves changes in (1) data types, (2) accumulation speed, and (3) data volume. This paper presents the main concepts related to the BD paradigm, and introduces architectures and technologies for BD and BD sets. The integration of BD with the Hadoop Framework is also underlined. BD has attracted a lot of attention in the public sector due to the newly emerging technologies that allow the availability of network access. The volume of different types of data has exponentially increased. Some applications of BD in the public sector in Romania are briefly presented.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1126762Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1560
 J. Gantz, D. Reinsel, "Extracting value from chaos", IDC iView, 2011, pp 1–12.
 E. Mcnulty, "Understanding Big Data: The Seven V’s", Dataconomy, May 22, 2014, Retrieved from: http://dataconomy.com/seven-vs-big-data/.
 Gartner, "Big Data Strategy Components: Business Essentials", October 9, 2012, Retrieved from: https://www.gartner.com/doc/ 2191415/big-data-strategy-components-business
 Canada Inforoute, "Big Data Analytics in health", White Paper, Full Report, April 2013.
 A. Alexandru, D. Coardos, "BD in Tackling Energy Efficiency in Smart City", Scientific Bulletin of the Electrical Engineering Faculty, vol. 28, no. 4, pp. 14-20, 2014, Bibliotheca Publishing House, ISSN 1843-6188.
 Gartner, "IT glossary: big data"
[webpage on the Internet]. Stamford, CT; 2012. Retrieved from: http://www.gartner.com/it-glossary/big-data.
 Frost & Sullivan White Paper, "Drowning in Big Data? Reducing Information Technology Complexities and Costs For Healthcare Organizations", 2012, Retrieved from http://www.emc.com/collateral/ analyst-reports/frost-sullivan-reducing-information-technology-complex ities-ar.pdf.
 Hadoop, 2009, Retrived from: http://hadoop.apache.org/.
 N. Khan, I. Yaqoob, I. A. T. Hashem, et al., "Big Data: Survey, Technologies, Opportunities, and Challenges", The Scientific World Journal, vol. 2014, Article ID 712826, 18 pages, 2014. doi:10.1155/2014/712826
 Korneliusz. "Hadoop Ecosystem and Big Data", May 2, 2014. Retrieved from: https://blog.udemy.com/hadoop-ecosystem/
 V. Bodapati, "Data Integration Ecosystem for Big Data and Analytics", 2013. Retrieved from: http://smartdatacollective.com/raju-bodapati/103326/data-integration-ecosystem-big-data-and-analytics.
 V. Anuganti, "Typical “Big” Data Architecture", 2012. Retrieved from: http://venublog.com/2012/11/30/typical-big-data-architecture/
 P. Sadalage, “NoSQL Databases: An Overview”, Retrieved from: https://www.thoughtworks.com/insights/blog/nosql-databases-overview.
 D. Mc Creary, D., A. Kelly, Making Sense of NoSQL: A guide for managers and the rest of us, Manning, 2014, ISBN-13: 978-1617291074, ISBN-10: 1617291072.
 J. Piekos, “SQL vs, NoSQL vs. NewSQl: finding the right solution”, Dataconomy 2015, Retrieved from http://dataconomy.com/sql-vs-nosql-vs-newsql-finding-the-right-solution/.
 The Hadoop Ecosystem Table, Retrieved from: https://hadoopecosystemtable.github.io/
 National Strategy for the Digital Agenda for Romania 2014-2020, Monitorul Oficial al României, Partea I, No. 340 bis/19.V.2015, Retrived from: http://www.ancom.org.ro/uploads/links_files/Strategia_ nationala_privind_Agenda_Digitala_pentru_Romania_2020.pdf
 A. Alexandru, D. Coardos, "Big Data in Health Care and Medical Applications in Romania", Proceedings of AQTR 2016, to be published.
 European Commission, eGovernment in Romania, January 2015, Edition 12.0.
 A. Alexandru, D. Coardoș, E. Tudora, "Using Big Data in the Government Sector", Proceedings of IE 2016 Conference, submitted for publication.