Unit name | Large-Scale Data Engineering |
---|---|
Unit code | EMATM0051 |
Credit points | 20 |
Level of study | M/7 |
Teaching block(s) |
Teaching Block 1 (weeks 1 - 12) |
Unit director | Dr. Zheng |
Open unit status | Not open |
Units you must take before you take this one (pre-requisite units) |
None |
Units you must take alongside this one (co-requisite units) |
None |
Units you may not take alongside this one | |
School/department | School of Engineering Mathematics and Technology |
Faculty | Faculty of Engineering |
This unit aims to give a comprehensive overview of elastically scalable and remotely-accessed "cloud" computing services such as those offered by Amazon, Google, and Microsoft, and associated technologies for dealing with very-large-scale bodies of data.
The unit commences with discussion of the economics that have driven the rapid development and adoption of cloud computing in a variety of industries; it then explores the provisioning of cloud services moving from infrastructure-as-a-service (IaaS), through platform-as-a-service (PaaS), software-as-a-service (SaaS), and "serverless" functions-as-a-service (FaaS). The open-source Hadoop "ecosystem" cloud service projects is introduced, and various cloud data-storage and data-processing technologies are surveyed, with evaluation of their strengths and weaknesses. The unit closes with an overview of best practices in the use and management of Big Data.
On successful completion of the unit, students will be able to:
Teaching will be delivered through a combination of synchronous and asynchronous sessions, including lectures, group work, practical activities and self-directed exercises.
Coursework 1: Design, implement and optimise an effective cloud architecture for an existing data processing application. (ILO 1-5; 100%)
If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.
If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. EMATM0051).
How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours
of study to complete. Your total learning time is made up of contact time, directed learning tasks,
independent learning and assessment activity.
See the Faculty workload statement relating to this unit for more information.
Assessment
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit.
The Board considers each student's outcomes across all the units which contribute to each year's programme of study. If you have self-certificated your absence from an
assessment, you will normally be required to complete it the next time it runs (this is usually in the next assessment period).
The Board of Examiners will take into account any extenuating circumstances and operates
within the Regulations and Code of Practice for Taught Programmes.