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.
The students required the knowledge and the skills for the development of the database application or the system for completing their MN405 assignment with accuracy as well as for demonstrating their understanding regarding the concepts and the technologies of the data and the information management. And this assignment needed accuracy but most of the students are not having enough time to complete their assignments with accuracy as well as within the deadline due to which they get failed their course. The students also get into tension and stress or anxiety due to their other problems such as time constraints and lack of resources.
Therefore, we are here as your MN405 Assignment help provider and we guarantee that the students will be able to get stress-free and tension free if they will take benefit from our company or they will take help from our company in their assignments as we have a team of experts and our experts have lots of experience for the concepts of the data and the information management. We also guarantee that if you will show faith and trust in our company then we will make sure that your faith and trust will not get wasted and we will give our 100 % best. We also guarantee you that if you will take benefit from us, then We will provide the solutions to you within the deadline with accuracy, with original content as well as an affordable price.
Therefore, hurry up and take benefit from our company you can contact us at any time as we are 24 hours available.
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 is to gain understanding of data requirements of a network. On completion of this assignment students will be able to: a. Understand the fundamental principles of the 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 questions to answer with proper references to 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 assignment must be in MSWord 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 IEEE referencing style. |
Extension |
• If an extension of time to submit work is required, a Special Consideration Application must be submitted directly to the School’s Administration Officer, 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/special consideration deferment |
Academic Misconduct |
• Academic Misconduct is a serious offence. Depending on the seriousness of the case, penalties can vary from a written warning or zero marks to exclusion from the course or rescinding the degree. Students should 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. |
Prepared by: Dr.Aruni Niroshika Moderated by: Dr. Deepani Guruge July 2023
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 topics online.
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: Deepani Guruge July, 2023
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 |
Marking Rubric for Assignment 1
|
Excellent 100% |
Very Good 80% |
Good 60% |
Satisfactory 40% |
Unsatisfactory 0%-20% |
Questions 1 (10 marks) |
Demonstrat ed excellent knowledge on the topic |
Demonstrate d good knowledge on the topic. |
Demonstrated reasonable knowledge on the topic |
Demonstrated some knowledge on the topic. |
Did not demonstrate any knowledge on the topic. |
Question 2 – (5 marks) |
Demonstrat ed excellent ability to think critically. |
Demonstrate d an ability to think critically. |
Demonstrated reasonable ability to think. |
Demonstrated some ability to think critically but not complete. |
Did not demonstrate ability to think critically. |