BIG DATA MANAGEMENT ON THE CLOUD
Credit points: 15
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.
FacultyFaculty of Science, Tech & Engineering
Subject Co-ordinatorZhen He
Available to Study Abroad StudentsYes
Subject year levelYear Level 4 - UG/Hons/1st Yr PG
Prerequisites CSE2DBF OR CSE4DBF
Incompatible subjects CSE3BDC
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Melbourne, 2014, Semester 1, Day
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorZhen He
One 2.0 hours laboratory class per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
One 2.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
|10 Laboratories (2 hours each)||10|
|One 3-hour examination||60|
|Programming Assignment (equivalent to 1250 words)||30|
|The students are required to achieve greater than 50% for the non-exam components as a hurdle||0|