- Breur, Tom. Statistical Power Analysis and the contemporary «crisis» in social sciences. Journal of Marketing Analytics. London, England: Palgrave Macmillan. 2016. – 61-65 p
- boyd, dana; Crawford, Kate. Six Provocations for Big Data. Social Science Research Network: A Decade in Internet Time: Symposium on the Dynamics of the Internet and Society. 2011
- Data, data everywhere. The Economist. Electronic source: http://www.economist.com/node/15557443
- Reichman OJ, Jones MB, Schildhauer MP. Challenges and opportunities of open data in ecology. Science. 2011. - 331 p.
- Segaran, Toby; Hammerbacher, Jeff. Beautiful Data: The Stories Behind Elegant Data Solutions. O'Reilly Media. 2009. - 257 p.
- Hilbert M, López P. The world's technological capacity to store, communicate, and compute information. Science. 2011. - 332 p.
- Sagiroglu, Seref. Big data: A review. 2013 International Conference on Collaboration Technologies and Systems (CTS). 2013. - 42-47 p.
- Kitchin, Rob; McArdle, Gavin. What makes Big Data, Big Data? Exploring the ontological characteristics of 26 datasets. Big Data & Society. 2016
- Onay, Ceylan; Öztürk, Elif. A review of credit scoring research in the age of Big Data. Journal of Financial Regulation and Compliance. 2018. - 382 p.
- Survey: Biggest Databases Approach 30 Terabytes. Eweek.com. Electronic source: http://www.eweek.com/database/survey-biggest-databases-approach-30-terabytes
- LexisNexis To Buy Seisint For $775 Million". The Washington Post. Electronic source: https://www.washingtonpost.com/wp-dyn/articles/A50577-2004Jul14.html
- Bertolucci, Jeff. Hadoop: From Experiment To Leading Big Data Platform, Information Week, 2013.
- Webster, John. MapReduce: Simplified Data Processing on Large Clusters, Search Storage, 2004.
- Boja, C; Pocovnicu, A; Bătăgan, L. Distributed Parallel Architecture for Big Data. Informatica Economica. 2012. - 127 p.
- Solving Key Business Challenges With a Big Data Lake" (PDF). Hcltech.com.. Electronic source: http://www.hcltech.com/sites/default/files/solving_key_businesschallenges_with_big_data_lake_0.pdf
- Manyika, James; Chui, Michael; Bughin, Jaques; Brown, Brad; Dobbs, Richard; Roxburgh, Charles; Byers, Angela Hung. Big Data: The next frontier for innovation, competition, and productivit. McKinsey Global Institute. 2011
- L'Heureux, A.; Grolinger, K.; Elyamany, H. F.; Capretz, M. A. M. Machine Learning With Big Data: Challenges and Approaches. IEEE Access. 2017
- Ray, Partha Pratim. An Introduction to Dew Computing: Definition, Concept and Implications - IEEE Journals & Magazine. IEEE Access. 2018. - 737 p.
- Montazerolghaem, Ahmadreza; Yaghmaee, Mohammad Hossein; Leon-Garcia, Alberto. Green Cloud Multimedia Networking: NFV/SDN Based Energy-Efficient Resource Allocation. IEEE Transactions on Green Communications and Networking. 2020. - 889 p.
- White, J.E. Network Specifications for Remote Job Entry and Remote Job Output Retrieval at UCSB. Electronic source: tools.ietf.org.
- Corbató, Fernando J. An Experimental Time-Sharing System. SJCC Proceedings. MIT. 2009
- Qian, Ling; Lou, Zhigou; Du, Yujian; Gou, Leitao. Cloud Computing: An Overview. Electronic source: researchgate.net.
- Rochwerger, B.; Breitgand, D.; Levy, E.; Galis, A.; Nagin, K.; Llorente, I. M.; Montero, R.; Wolfsthal, Y.; Elmroth, E.; Caceres, J.; Ben-Yehuda, M.; Emmerich, W.; Galan, F. The Reservoir model and architecture for open federated cloud computing. IBM Journal of Research and Development. 2009
- Hicks, Jacqueline. Digital colonialism: why some countries want to take control of their people's data from Big Tech. The Conversation.
- Milita Datta. Apache CloudStack vs. OpenStack: Which Is the Best?. DZone - Cloud Zone. 2016
- Haghighat, Mohammad; Zonouz, Saman; Abdel-Mottaleb, Mohamed. CloudID: Trustworthy cloud-based and cross-enterprise biometric identification. Expert Systems with Applications. 2015.
- Indu, I.; Anand, P.M. Rubesh; Bhaskar, Vidhyacharan. Identity and access management in cloud environment: Mechanisms and challenges. Engineering Science and Technology, an International Journal. 2018. - 574 p.
- Ведомости. [Электронный ресурс]. - Режим доступа: https://www.vedomosti.ru/partner/articles/2019/02/25/739068-uznat-vse
- Просто о больших данных / Дж. Гурвиц, А. Ньюджент, Ф. Халпер, М. Кауфман. - М. : Эксмо, 2015. - 348 с.
- Локтионов В. И. Влияние неопределенности исходных данных на варианты долгосрочного развития топливно-энергетического комплекса / В. И. Локтионов // Экономический анализ: теория и практика. - 2015. - № 31. - 51-60 с.
- Локшина Э. А. А ваша компания готова к управлению клиентским опытом? 7 признаков клиент-ориентированной компании [Электронный ресурс] / Э. А. Локшина. - Режим доступа: http://love-credit.ru/st/kak-banki-upravlyayut-klientskimi-vpechatleniyami.
- Локтионов В. И. Учет фактора неопределенности при оценке вариантов использования Ковыктинского газа / В. И. Локтионов, Ю. Д. Кононов, П. В. Ступин // Энергетика России в XXI веке: стратегия развития - восточный вектор. Энергетическая кооперация в Азии: что после кризиса? - Иркутск : Ин-т систем энергетики им. Л. А. Мелентьева Сиб.отд-ния РАН, 2010. – 655-660 с.
- Mukherjee, S.; R. Shaw. Big Data-Concepts, Applications, Challenges and Future Scope, International Journal of Advanced Research in Computer and Communication Engineering. 2016
- Ramlukan, R. How Big Data and Analytics Can Transform the Audit. Reporting. 2015
- Watson, H. Big Data Analytics: Concepts, Technologies and Applications, Communications of the Association for Information Systems. 2014
- Зачем банкам облака, и как они влияют на лояльность клиентов. Цифровая экономика. [Электронный ресурс]. - Режим доступа: https://www.comnews.ru/digital-economy/content/118939/2019-04-08/zachem-bankam-oblaka-i-kak-oni-vliyayut-na-loyalnost-klientov
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