The purpose of assessment is to assess students on the following Learning Outcomes:
LO2: Expertly apply techniques to perform big data query manipulation, evaluate various
data storage option and type of aggregated data modelling. Through a critical study, choose an
appropriate storage model based on the application requirements for processing large amounts
of structured and unstructured data.
LO4: Carry out research on emerging Big Data technologies to evolve models/solutions such
as configurable and executable compute jobs on top of using distributed and shared memory
architecture and Resilient Distributed Data Sets (RDDs).
This assessment expects the student to submit a critique report on a research article related
to a Big Data and its current trend technologies. This assessment is designed to improve student
presentation skills and to give students experience in researching a topic and writing a
report/Critique report relevant to the Unit of Study subject matter. The research articles would be
tasked to explore further research trends relevant to the unit content. As further research findings
evolve the unit lecturer may supplement or substitute these to keep the research delivery current
For this component you will prepare a report/critique on an academic paper related to Big
data or big data technologies, Big data analytics, Big data security etc. The paper you select must
be directly relevant to one of these major topics. The paper can be from any academic conference
or other relevant Journal or online sources such as Google Scholar, Academic department
repositories etc. The topic and the related paper need not be later than 2013-14. The selected
paper title with their URL may be uploaded on discussions in Moodle for other students as a
reference and to avoid duplicity.