Reference no: EM132651367

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 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.

General Instructions

1. All students must select a different paper. The paper must be approved by your instructor or tutor before proceeding. In case two students are wanting to report on the same paper, the first who emails the instructor with their choice will be allocated that paper (provided it is acceptable).
2. Your writing should be clear and concise and be in your own words.
3. The report should be written in appropriate business language so that your analysis and discussion have an objective tone.
4. The report must be in the range of 1,500-2,500 words in length excluding references.
5. The referencing style must follow the IEEE referencing style.

Report Writing Guidelines

1. The principal sentence or two of your report need to contain the author's proposal, or focal idea, expressed in your own words.

2. Do not use personal pronouns (I, we, your etc). You are summarizing the article and not critiquing the article

3. Do not write the same sentence as in the article. Rephrase to highlight the general idea. Do not repeat sentences from the article.

4. Identify the main argument or research question of the article. Mention the main aspects of the work in your own words

5. Discuss the methodology (tools/methods) used to derive to the conclusion. However, the methodology used need not be discussed in detail (only the main idea).

6. Write the conclusion derived by the user by the article. Do not forget to mention the research question/ argument of the author to effectively conclude the paper.

7. Make sure your summary covers the main objective, research question, the conclusions/results, and how those results were achieved.

Attachment:- Big Data.rar