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
Trimester	T2 2023
Unit Code	MN405
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.
Weight	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.
Submission Guidelines	• 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.
Extension	• 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: http://www.mit.edu.au/about-mit/institute-publications/policies-procedures and-guidelines/specialconsiderationdeferment
Academic Misconduct	• 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: http://www.mit.edu.au/about-mit/institute-publications/policies 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.

Questions	Description of the section	Marks
1	Understanding of the 2 terms	10
2	Understanding requirements of different systems	5
	TOTAL marks for the assignment	15