What is Big Data

V.A. Reznichenko


The article attempts to uncover the essence of the concept of Big Data based on the analysis of materials from various sources. Defining characteristics of Big Data are given, their classification is given, a brief description of the origin and development is presented, the basic principles of operation are presented, methods and technologies for analysis and visualization are outlined, the life cycle of data management using Big Data technology is described.

Problems in programming 2019; 3: 86-100 


Big Data; Big Data technology; database; life cycle


Chernyuk L. Big Data - new theory and practice. Otkrytye sistemy. SUBD 2011 № 10. URL: https://www.osp.ru/os/2011/10/ 13010990/

Laney Doug (2001) 3D Data Management: Controlling Data Volume, Velocity, and Variety. Technical Report 949, META-Group (now Gartner). [Electronic resourse]: https://blogs.gartner.com/doug-laney/files/2012/01/ad949-3D-Data-Management-Controlling-Data-Volume-Velocity-and-Variety.pdf

Nawsher Khan, Ibrar Yaqoob, Ibrahim Abaker Targio Hashem, Zakira Inayat, Waleed KamaleldinMahmoud Ali, Mu-hammad Alam, Muhammad Shiraz, and Abdullah Gani1. Big Data: Survey, Tech-nologies, Opportunities, and Challenges // Hindawi Publishing Corporation The Scien-tific World Journal Volume 2014, Article ID 712826, 18 pages, URL: http://dx.doi.org/10.1155/2014/ 712826 CrossRef

Zikopoulos P., Parasuraman K., Deutsch T., Giles J., Corrigan D. (2013) Harness the power of big data The IBM big data platform. McGraw Hill Professional, New York, NY. - [Электронный ресурс]: ftp://public.dhe.ibm. com/software/pdf/at/SWP10/Harness_the_Power_of_Big_Data.pdf

The Four V's of Big Data (англ.). IBM (2011). Проверено 19 февраля 2017. http://www.ibmbigdatahub.com/sites/default/files/infographic_file/4-Vs-of-big-data.jpg

Neil Biehn. The Missing V's in Big Data: Viability and Value (англ.). Wired (1 May 2013). Проверено 19 февраля 2017. https://www.wired.com/insights/2013/05/the-missing-vs-in-big-data-viability-and-value/

Eileen McNulty. Understanding Big Data: The Seven V's (англ.). Dataconomy (22 May 2014). Проверено 19 февраля 2017. http://dataconomy.com/2014/05/seven-vs-big-data/

Tom McNeill. The Eight V's of Supercom-puting and Big Data. https://www.nimbix.net/ eight-vs-supercomputing-big-data/

George Firican. The 10 Vs of Big Data - https://tdwi.org/articles/2017/02/08/10-vs-of-big-data.aspx

Gil Press. Cleaning Big Data: Most Time-Consuming, Least Enjoyable Data Science Task, Survey Says. http://www.forbes.com/ sites/gilpress/2016/03/23/data-preparation-most-time-consuming-least-enjoyable-data-science-task-survey-says/

Jennifer Dutcher. What Is Big Data? https://datascience.berkeley.edu/what-is-big-data/

Dion Hinchcliffe. Big Data, The Moving Parts: Fast Data, Big Analytics, and Deep Insight. - https://www.flickr.com/photos/dionh/7550578346/in/photostream/

Big Data from А to Z. Part 1: Principles of working with Big Data, paradigm MapRe-duce. https://habr.com/company/dca/blog/ 267361/

James Manyika, Michael Chui, Brad Brown, Jacques Bughin, Richard Dobbs, Charles Roxburgh, Angela Hung Byers. Big data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute, 2011. https://bigdatawg.nist.gov/pdf/ MGI_big_data_full_report.pdf

Nawsher Khan, Ibrar Yaqoob, Ibrahim Abaker Targio Hashem, Zakira Inayat, Waleed KamaleldinMahmoud Ali, Mu-hammad Alam, Muhammad Shiraz, and Abdullah Gani. Big Data: Survey, Technol-ogies, Opportunities, and Challenges. Hindawi Publishing Corporation The Scien-tific World Journal, Volume 2014, Article ID 712826, 18 pages. URL: http://dx.doi.org/10.1155/2014/712826 CrossRef

E. Begoli and J. Horey, "Design principles for effective knowledge discovery frombig data," in Proceedings of the 10thWorking IEEE/IFIP Conference on Software Archi-tecture (ECSA '12). P. 215-218, August 2012. CrossRef

DOI: https://doi.org/10.15407/pp2019.03.086


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