Thesis (Ph.D.) - Cairo University - Faculty of Computers and Artificial Intelligence - Department of Information Systems

The area of big data is attracting the attention of academia, industry, and government across the world, due to the rapid development of the Internet, the Internet of Things, and Cloud Computing and the gigantic amounts of data collected daily. However, the question, 2How to set up and optimize a big data project for successful assimilation of big data projects in organizations?3 is still an open question.This is becoming an increasingly challenging task that requires understanding the value of big data, the challenges facing big data projects, and the steps involved in running a big data project. Many researchers claim that failure rates for big data projects are considerably high due to several aspects affecting successful big data project management.The research focused on analyzing the agile methodologies and how these can be tailored for building effective big data projects. To carry out the study, the concepts and theories related to agile methodology, big data, and Agile project management were reviewed and analyzed.The importance of big data projects and how it is important to manage the projects effectively was studied and reviewed in this study. It was found that with time, organizations are widely taking advantage of advanced and modern technology.Many researchers and theorists have highlighted the relevance of agile methodologies in managing the overall projects.The agile methodology is commonly adopted as it involves various processes and techniques that help in conveniently managing projects

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