KF7032 Big Data and Cloud Computing.

Aims

The aim of this assignment is to introduce a practical application of Big Data and Cloud Computing using a realistic big data problem. Students will implement a solution using an industry leading Cloud computing provider together with the distributed processing environment Apache Spark. This will involve the selection of problem appropriate Machine Learning algorithms and methods.

Learning Outcome 1: Apply big data analytic algorithms, including those for visualization and cloud computing techniques to multi-terabyte datasets.

Learning Outcome 2: Critically assess data analytic and machine learning algorithms to identify those that satisfy given big data problem requirements

Learning Outcome 3: Critically evaluate and select appropriate big data analytic algorithms to solve a given problem, considering the processing time available and other aspects of the problem.

Learning Outcome 4: Design and develop advanced big data applications that integrate with third party cloud computing services Personal Values Attributes (Global / Cultural awareness, Ethics, Curiosity) (PVA):

Learning Outcome 5: Critically assess the relationship between knowledge and the ethical and social interpretation of primary research using big data.