Reference no: EM133134422 , Length: 1500-2500
MITS6005 Big Data - Victorian Institute of Technology
Learning Outcome 1: 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.
Learning Outcome 2: 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).
Objective(s):-
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 and updated.
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 2016-17. The selected paper title with their URL may be uploaded on discussions in Moodle for other students as a reference and to avoid duplicity.
Article - Data Warehouse with Big Data Technology for Higher Education by Leo Willyanto Santoso, Yulia
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