COIT20253 | Big Data Analytics Practical and Written Assessment | IT

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Assessment Task:
This is an individual assessment.   

In this assessment, you are required to produce a report based on the Big Data strategy document you developed for Assessment 2.

At the beginning of the report, you will identify some Big Data use cases based on the Big Data strategies you developed for Assessment 2.

In the following part, you will critically analyse different Big Data technologies, data models, processing architectures and query languages and discuss the strengths and limitations of each of them. You will also discuss different Big Data analytics and business intelligence tools that enable businesses to gain actionable insights from Big Data.

Furthermore, you will discuss the Big Data technologies that you could use for data collection, storage, transformation, processing and analysis to support your use cases. You will also illustrate the Big Data technology stack and processing architecture required to support your use cases. Moreover, you will specify what user experiences you are going to provide to aid in decision making. You have to provide the rationale behind each of the choices you make.

Your target audience is executive business people who have extensive business experience but limited ICT knowledge. They would like to be informed as to how new Big Data technologies might be beneficial to their business. Please note that a standard report structure, including an executive summary, must be adhered to.

The main body of the report should include but not limited to the following topics:

1. Big Data Use Cases
2. Critical Analysis of Big Data Technologies
3. Big Data Architecture Solution

The length of the report should be around 3000 words. You are required to do an extensive reading of more than 10 articles relevant to the chosen Big Data use cases, technologies, architectures and data models. You will need to provide in-text referencing of the chosen articles.   

You assessment must have a Cover page (Student name, Student Id, Unit Id, Campus, Lecturer and Tutor name) and Table of Content (this should be MS word generated).   

Caution: ALL assessments will be checked for plagiarism by Turnitin.

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