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

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

01. Identify the benefits of using cloud computing over traditional methods for managing big data.
02. Identify the best type of cloud-based service to use for a particular application scenario.
03. Write efficient map and reduce programs to analyse large data sets.
04. Write efficient programs that query cloud-hosted database systems.
05. Setup cloud-hosted database systems.

Subject options

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Start date between: and    Key dates

Melbourne (Bundoora), 2020, Semester 1, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorZhen He

Class requirements

Laboratory Class Week: 11 - 22
One 2.00 h laboratory class per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.

Lecture Week: 10 - 22
One 2.00 h lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Assessments

Assessment elementCommentsCategoryContributionHurdle% 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/AN/AN/ANo10 SILO3, SILO4, SILO5
One 3-hour examinationN/AN/AN/ANo70 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/AN/AN/AYes20 SILO3

Dandenong (Chisholm Institute), 2020, Semester 1, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorZhen He

Class requirements

Laboratory Class Week: 10 - 22
One 2.00 h laboratory class per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Lecture Week: 10 - 22
One 2.00 h lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Assessments

Assessment elementCommentsCategoryContributionHurdle% 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/AN/AN/ANo10 SILO3, SILO4, SILO5
One 3-hour examinationN/AN/AN/ANo70 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/AN/AN/AYes20 SILO3