From Big Data to Big Projects: A Step-by-Step Roadmap

Abstract

While technologies to build and run big data projects have started to mature and proliferate over the last couple of years, exploiting all potentials of big data is still at a relatively early stage. In fact, building effective big data projects inside organizations is hindered by the lack of a clear data-driven and analytical roadmap to move businesses and organizations from an opinion-operated era where humans skills are a necessity to a data-driven and smart era where big data analytics plays a major role in discovering unexpected insights in the oceans of data routinely generated or collected. This paper provides a solid and well-founded methodology for organizations to build big data projects and reap the most rewards out of their data. It covers all aspects of big data project implementation, from data collection to final project evaluation. In each stage of the process, we introduce different sets of platforms and tools in order to assist IT professionals and managers in gaining a comprehensive understanding of the methods and technologies involved and in making the best use of them. We also complete the picture by illustrating the process through different real-world big data projects implementations.