MN405 Data and Information Management Assignment help for Melbourne Institute

The MN405 Data and Information Management course offered by Melbourne University is a detailed course that aims to provide the students with the skills and knowledge needed to manage effectively the information and the data. The MN405 Data and information assignment covers a range of the topics such as data mining, data modelling, data warehousing, business intelligence, and database design.

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Assessment Details and Submission Guidelines


T2 2023

Unit Code


Unit Title

Data and Information Management

Assessment Author

Dr. Aruni Niroshika

Assessment Type

Assignment 1 (Individual)

Assessment Title

Data Modelling and Data Managing

Purpose of the  assessment (with  ULO Mapping)

The purpose of this assignment isto gain understanding of data requirements of  a network. On completion of this assignment students will be able to: a. Understand the fundamental principles ofthe networking and data  requirements of a network.


10% of total assessment for the unit

Total Marks

15 marks

Word limit

No specific word limit

Due Date

WEEK 3 – 06th August 2023 before 11:55 PM

Description of this assignment:

This assignment has of 2 questionsto answer with proper referencesto the  sources.



Submit following on or before the due date

o Submit MS Word document save as

“MN405 Assigment1_your_name.doc”

The assignmentmust be inMSWord format, 1.5 spacing, 11-ptCalibri(Body)  font and 2.5 cm margins on all four sides of your page with appropriate  section headings.

Reference sources must be cited in the text of the report, and listed  appropriately at the end in a reference list using IEEEreferencing style.


If an extension of time to submit work is required, a Special Consideration  Applicationmust be submitted directly to theSchool’s AdministrationOfficer,  in Melbourne on Level 6 or in Sydney on Level 7. You must submit this  application three working days priorto the due date of the assignment. Further  information is available at: and-guidelines/specialconsiderationdeferment



Academic Misconduct is a serious offence. Depending on the seriousness of  the case, penalties can vary from a written warning or zeromarksto exclusion  from the course or rescinding the degree. Studentsshould make themselves  familiar with the full policy and procedure available at: procedures-and-guidelines/Plagiarism-Academic-Misconduct-Policy Procedure. For further information, please refer to the Academic Integrity Section in your Unit Description.

Preparedby:Dr.Aruni Niroshika Moderated by: Dr.DeepaniGuruge July 2023

MN405 Data and InformationManagement Page |2

 Assignment Description

Questions (15 Marks) Understand the networking and data requirements of networks

Big data processing and analysis involve managing, extracting insights, and deriving value  from large and complex datasets using specialized tools and techniques.  

The paper titled “A Survey of Data Partitioning and Sampling Methods to Support Big  Data Analysis” (see complete information listed below); which has been uploaded on the  Assignment folder, provides outcome of the extensive survey conducted on Data  Partitioning and Sampling Methods to Support Big Data Analysis

Read the paper and answer the following Questions. You also can search more about  these topics online.

Mohammad Sultan Mahmud, Joshua Zhexue Huang, Salman Salloum , Tamer Z. Emara, and  Kuanishbay Sadatdiynov, “A Survey of Data Partitioning and Sampling Methods to Support  Big Data Analysis”, BIG DATA MINING AND ANALYTICS, vol 3, no 2, pp.85-101, June 2020.

NB: it is important to reference the sources using IEEE citation style. 

Write at least 200 words with proper references. 

1. Briefly discuss the 2 terms listed below. You can search more about these topicsonline.

a) “Big Data Processing and Analysis” and [5 Marks]

b) Distributed Computing[5 Marks]

2. Read section 2 of the paper and answer “How Apache Hadoop supports distributed  and parallel processing of Big Data?” [5 Marks]

Prepared by: Dr. Aruni Niroshika Moderated by: DeepaniGuruge July, 2023

MN405 Data and InformationManagement Page |3

Marking Criteria:

Marks are allocated for each part as below.


Description of the section



Understanding of the 2 terms



Understanding requirements of  different systems


TOTAL marks for the assignment


Marking Rubric for Assignment 1










Unsatisfactory 0%-20%

Questions 1

(10 marks)





on the topic

Demonstrate d good

knowledge on the topic.

Demonstrated reasonable

knowledge on the topic

Demonstrated some

knowledge on the topic.

Did not



knowledge on the topic.

Question 2 –

(5 marks)




ability to



Demonstrate d an ability to think


Demonstrated reasonable

ability to think.

Demonstrated some ability

to think

critically but

not complete.

Did not


ability to think critically.

Prepared by: Dr. Aruni Niroshika Moderated by: DeepaniGuruge July, 2023