cse3bdc big data management on the cloud
BIG DATA MANAGEMENT ON THE CLOUD
CSE3BDC
2020
Credit points: 15
Subject outline
Companies are acquiring massive amounts of data and also providing internet based service to millions of people. This is extremely challenging due to the large scale of data involved and the huge number of concurrent requests by users. In this subject we will study the current state-of-the-art technologies for analysing huge amounts of data and responding to millions of user requests within one second. Currently the most cost efficient way of achieving the above aim is to use large-scale cloud-based services offered by vendors such as Amazon, Google, IBM, Microsoft, etc. We will study how to use the cloud services provided by these vendors to meet the big data needs of businesses. In particular this subject will include the following topics: cloud architectures, parallel database systems, map and reduce, key value stores, transaction support in the cloud, virtualization, and multi-tenant database systems.
SchoolEngineering and Mathematical Sciences (Pre 2022)
Credit points15
Subject Co-ordinatorZhen He
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 3 - UG
Available as ElectiveNo
Learning ActivitiesN/A
Capstone subjectNo
Subject particulars
Subject rules
PrerequisitesCSE1OOF AND CSE2DBF
Co-requisitesN/A
Incompatible subjectsCSE4BDC
Equivalent subjectsN/A
Quota Management StrategyN/A
Quota-conditions or rulesN/A
Special conditionsN/A
Minimum credit point requirementN/A
Assumed knowledgeN/A
Career Ready
Career-focusedNo
Work-based learningNo
Self sourced or Uni sourcedN/A
Entire subject or partial subjectN/A
Total hours/days requiredN/A
Location of WBL activity (region)N/A
WBL addtional requirementsN/A
Graduate capabilities & intended learning outcomes
Graduate Capabilities
Intended Learning Outcomes
Subject options
Select to view your study options…
Melbourne (Bundoora), 2020, Semester 1, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorZhen He
Class requirements
Laboratory ClassWeek: 11 - 22
One 2.00 hours laboratory class per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.
LectureWeek: 10 - 22
One 2.00 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Category | Contribution | Hurdle | % | ILO* |
|---|---|---|---|---|---|
Laboratory work (equivalent to 500 words)Each lab will include programming tasks which students need to complete. The completed tasks will be marked by the lab demonstrator based on correctness. | N/A | N/A | No | 10 | SILO3, SILO4, SILO5 |
One 3-hour examination | N/A | N/A | No | 70 | SILO1, SILO2, SILO3, SILO4 |
Programming Assignment (equivalent to 1000 words)Students are required to achieve greater than 50% for the non-exam components as a hurdle) | N/A | N/A | Yes | 20 | SILO3 |
Dandenong (Chisholm Institute), 2020, Semester 1, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorZhen He
Class requirements
Laboratory ClassWeek: 10 - 22
One 2.00 hours laboratory class per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
LectureWeek: 10 - 22
One 2.00 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Category | Contribution | Hurdle | % | ILO* |
|---|---|---|---|---|---|
Laboratory work (equivalent to 500 words)Each lab will include programming tasks which students need to complete. The completed tasks will be marked by the lab demonstrator based on correctness. | N/A | N/A | No | 10 | SILO3, SILO4, SILO5 |
One 3-hour examination | N/A | N/A | No | 70 | SILO1, SILO2, SILO3, SILO4 |
Programming Assignment (equivalent to 1000 words)Students are required to achieve greater than 50% for the non-exam components as a hurdle) | N/A | N/A | Yes | 20 | SILO3 |