Projects related to Big Data have to deal with a lot of ambiguity, evolution, and experimentation. Established project management methodologies are less effective in this scenario because they work on principles of a high degree of certainty and structure. There are some very good elements of discipline, which standard project management methodologies require. These traditional methodologies also delve into some very important subject areas such as risk management, communication, change management, and so on. In this section, we will introduce you to a framework of Explore-Validate-Amplify (EVA), which you might find useful for phasing your Big Data projects. In this approach, we take a progressive investment approach and ideate, validate, and refine it before we plunge into any large-scale development effort.