Big Data Management on the Cloud
UndergraduateLTU-CSE3BDC2025
Enrolments for this course are closed, but you may have other options to start studying now. Book a consultation to learn more.
- Study method
- 100% online
- Assessments
- Subject may require attendance
- Entry requirements
- Prior study needed
- Duration
- 12 weeks
- Start dates
- 3 Mar 2025
- Loan available
- HECS-HELP and FEE-HELP available
Big Data Management on the Cloud
About this subject
On successful completion you will be able to:
- Apply your knowledge of Amazon Web Services to design a cloud-based solution for a given application scenario.
- Implement fundamental cloud-based services using Amazon Web Service interfaces.
- Analyse the internals of the Map Reduce Framework.
- Solve big data analytics problems by implementing solutions using the Hadoop ecosystem.
- Analyse the performance benefits of contrasting No SQL stores.
- Cloud Computing
- Amazon Web Services
- Hadoop
- Apache Spark
- MapReduce
- NoSQL Stores
- Hive
Companies are acquiring massive amounts of data and 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. This subject will cover 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. You will have the opportunity to learn how to use the cloud services provided by Amazon Web Services to meet the big data needs of businesses. The subject will also cover how to program the world’s most popular Big Data analytics framework called Hadoop with a focus on Map Reduce, Hive and Apache Spark. This subject will also cover the following topics: cloud architectures, parallel database systems, key value stores, transaction support in the cloud, virtualization, and multi-tenant database systems.
- Programming Assignment (equivalent to 1000 words). (30%)
- Quizzes associated with weekly labs (500 words equivalent). (10%)
- Centrally administered exam (3000 words equivalent). (60%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
Prior study
You must either have successfully completed the following subject(s) before starting this subject, or currently be enrolled in the following subject(s) in a prior study period; or enrol in the following subject(s) to study prior to this subject:
and one of
Please note that your enrolment in this subject is conditional on successful completion of these prerequisite subject(s). If you study the prerequisite subject(s) in the study period immediately prior to studying this subject, your result for the prerequisite subject(s) will not be finalised prior to the close of enrolment. In this situation, should you not complete your prerequisite subject(s) successfully you should not continue with your enrolment in this subject. If you are currently enrolled in the prerequisite subject(s) and believe you may not complete these all successfully, it is your responsibility to reschedule your study of this subject to give you time to re-attempt the prerequisite subject(s).
Others
Past La Trobe University students who have previously completed CSE4BDC (Big Data Management On The Cloud) or CSE5BDC (Big Data Management On The Cloud) are ineligible to enrol in this subject.
Additional requirements
No additional requirements
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.
What to study next?
Once you’ve completed this subject it can be credited towards one of the following courses
UndergraduateLAT-BUS-DEG
UndergraduateLAT-ART-DEG
Bachelor of Arts/Bachelor of Health Sciences
UndergraduateLAT-AHS-DEG
Bachelor of Psychological Science
UndergraduateLAT-PYS-DEG
UndergraduateLAT-HSC-DEG
Bachelor of Information Technology
UndergraduateLAT-TEC-DEG
UndergraduateLAT-CYS-DEG
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