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Talk · IEEE International Conference on Computer Sciences and Information Technologies · September 22, 2021

Using Agile Frameworks in Big Data projects

Kateryna V. Kolesnikova, Olga Mezentseva, Oleksii Kolesnikov, Danso Janet Obenewaa

Kateryna Kolesnikova
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Abstract

Considering the main problems of Big Data projects - huge amounts of data, uncertainty and the need to take into account constant changes, the study decided to investigate the process of managing Big Data projects using Agile. The problem of choosing Agile techniques is complicated by the fact that each of the known frameworks has its own advantages and disadvantages. Depending on the type of project, a particular tool can influence various criteria for the success of the project. In addition, research has shown that some enterprises use separate elements of a particular framework. Therefore, the scientific novelty of the article lies in the study of the influence of individual elements of Agile techniques on the success of the project and its course. With the help of expert assessment in the work, a quantity of separate elements of Agile were formed. These techniques are the most common among practicing managers of Big Data project. The data were prepared to create a regression model.

Software Engineering Techniques and PracticesBig Data and Business IntelligenceBig Data Technologies and Applicationsagile frameworksbig data projectsproject management

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