· Define at least one question that can be answered by the data and pose this as a research question. State your hypothesis. Formulate a null and alternative hypothesis.

Solution Exploration (25 Marks)
· Evaluate a range of approaches and technologies for managing and analysing big data solutions.
· Fully explain why the approaches you are using are appropriate for your analysis.
· Fully explain why approaches not taken are not appropriate for your analysis.
· Outline your solution exploration and reasoning for your chosen study.
5

Solution (25 Marks)
· Describe your solution to the selected problem (what you have produced and how you have produced it).
· Include the technologies you use, the data preparation and your analysis.
· Additionally, a general analysis of the major information points of the data set should be included, as well as the specific analysis that you carry out to investigate your hypothesis.
· Produce visualisations of your analysis using appropriate technology and present results clearly.

Evaluation (20 Marks)
· Results should be evaluated using appropriate metrics, for instance statistical significance testing.
· Describe any potential impact of your results and how the results can be used within the application domain.
· Considerations for any limitations of your work should be included.
· Future work should be detailed with explanation of how this can enhance the solution further.