Big Data Management on the Cloud
UndergraduateLTU-CSE3BDC2023
Course information for 2023 intake View information for 2025 course intake
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- Study method
- 100% online
- Assessments
- Subject may require attendance
- Entry requirements
- Part of a degree
- Duration
- 12 weeks
- Loan available
- HECS-HELP and FEE-HELP available
Big Data Management on the Cloud
About this subject
- 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 1500 words). (30%)
- Quizzes associated with weekly labs (500 words equivalent). (10%)
- Centrally administered exam (2000 words equivalent). (60%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
Part of a degree
To enrol in this subject you must be accepted into one of the following degrees:
Elective
- LAT-TEC-DEG-2023 - Bachelor of Information Technology
Prior study
You must have successfully completed the following subject(s) before starting this subject:
and one of
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.
Related degrees
Once you’ve completed this subject it can be credited towards one of the following courses
Bachelor of Information Technology
UndergraduateLAT-TEC-DEG