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Big Data Analytics for Telecom's Data Analysis: A Critical Evaluation and Recommendation

Learning Objectives

On successful completion of this module students will be able to

1.Demonstrate knowledge and understanding of the Big Data technology landscape, terminology and choices available

2.Identify and communicate the challenges of scalability of databases and data analysis

3.Collect and synthesise information needed to select the optimum solution for a problem domain involving big data

4.Analyse and evaluate a range of information comparing alternative methods and techniques used in the analysis of big data including methods to visualise and learn from large volumes of data

5.Implement and test solutions using big data technologies

The aim of this research and evaluative report is to critically analyse the Big Data approach to Telecom’s Data Analysis as implemented in the Assignment 1 using Tableau. You should discuss the advantages and disadvantages of the approach of Big Data Analytics from a technical and business perspective. Please refer to the marking criteria for a suggested structure of the report.

You are also required to discuss the Big Data Analytics method/tools you have applied in producing the output required in Assignment 1. You should provide a rationale and justification for your choices supported by the relevant academic literature.

You have provided a background of Big Data Analytics tools to facilitate telecom company’s data analytics in the given scenario.

You have provided a critical analysis and justification of the use of Big Data Analytics tools to complete the tasks in this scenario.

Your main body should evaluate, assess pros and cons of the tools used in Assignment 1.

The suggested  word count for this section of report is 500 words

You have provided recommendations and a conclusion for the successful implementation of a Big data analytics solution for the scenario in Assignment 1.

You have used an appropriate report layout and formatting style (see the guidelines below), as well as academic citations and a reference list. Your report should be free from grammatical and spelling errors.

Assignment Preparation Guidelines

·All components of the assignment (text, diagrams. code etc.) must be submitted in one-word file (hand-written text or hand drawn diagrams are not acceptable), any other accompanied materials such as simulation file, code, etc. should be attached in appendices.

·Standard and commonly used fonts such as Arial or Calibri should be used, font size must be within the range of 10 to 15 points including the headings, body text and any texts within diagrams,

Research and Evaluative Report

·Pay attention to the Assessment criteria / Marking scheme, the work is to be concise and technical. Try to analyse, compare and evaluate rather than simply describe.

·All figures, screenshots, graphs and tables must be numbered and labelled.

·The assignment should be logically structured, the core of the report may start by defining the problem / requirements, followed by the proposed solution including a detailed discussion, analysis and evaluation, leading to implementation and testing stage, finally a conclusion and/or personal reflection on learning.

·Please access your Turnitin Test Page via Dashboard or My modules to learn more about Turnitin and to make a test submission and to check your similarity score before uploading your final version

·You will have opportunity to submit as many times to your module pages as you want up until the deadline.

·Make sure to make backup of your work to avoid distress for loss or damage of your original work, use multiple storage media (memory stick, cloud and personal computer).

Assignment support:  

· Although you will be guided throughout the module by your lecturer, you can get extra support for your assignment, just make an appointment with the ACE team for any language, research and study skills issues and/or talk, email the Computing ACE expert for any advice on how to approach your assignment. REMEMBER: they are not here to give you the answers!

·Students will have access to formative feedback on each task set in workshops, thereby helping them to refine their approach to the summative tasks that have been set.

·Academic Integrity is a matter that is taken very seriously at the university and student should endeavour to enforce it to all their assignments. In other words, plagiarism, collusion (working and copying from another student) and ghost writing will not be tolerated and will result in sanctions eg: capped resit, suspension and/or withdrawal. Correct referencing demonstrates your academic and professional skill. It also reflects your academic honesty and thus to some degree protects you from cases of plagiarism.

·You must write your assignment in your own words to demonstrate your understanding of the subject.

·Material from external sources must be properly referenced and cited within the text using the Harvard referencing system,

·You are required to follow the Roehampton Harvard referencing System. Please refer to Moodle for the latest version of the Roehampton Harvard referencing System or ask the library.

·An accompanying list of references (on a separate page and in alphabetical order) must also be provided as part of your work.

·Plagiarism: occurs when you present somebody else’s work as your own, whether that work is an idea, graphs, figure, illustration or a pure text. Be it available in web, textbooks, reports or otherwise.

·Wholesale use of text and diagrams from websites is considered as plagiarism when not acknowledged.

·Plagiarism will be dealt with firmly and can lead to serious consequences and disciplinary procedures.

·Collusion: occurs when copying another student’s report (Text, Figures, Illustration etc..) and submitting it as your own.

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