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UO Big Data in the Cloud
Course Level Undergraduate
Area/Catalogue
INFS 3088
Course Level
Undergraduate
Study Method
100% online
Course ID
171491
Unit Value
4.5
UniSA Online Elective Course
Yes
Duration
10 weeks
Fees
View fees for this course
Course aim
To interoperate with cloud based information systems in order to extract meaningful data for analysis and publish visualisations.
Course content
Topics covered in this course include: overview of big data analytics; characteristics of big data; analysis flow for big data; big data manipulation techniques: batch analytics (Hadoop Map-Reduce), real-time analytics, interactive querying; big data languages/tools: Pig, Oozie, Spark, Strom, Hive; big data search: Solr, Elasticsearch; big data applications (e.g. recommendation systems, time series analysis, text analytics); and web framework: Django.
Textbooks
Nil
Prerequisites
Subject Area & Catalogue Number | Course Name |
---|---|
Group 2
Additionally, students must have completed the following course: |
|
INFT 2066 | UO Cloud Platforms |
Group 1
Students must have completed one of the following courses: |
|
INFS 3081 | UO Predictive Analytics |
INFS 3076 | Predictive and Descriptive Analytics |
Corequisite(s)
Nil
Teaching Method
Component | Duration | ||
---|---|---|---|
EXTERNAL, ONLINE ACTIVITY | |||
Online | 10 weeks x N/A |
Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.
Assessment
Problem solving exercise, Project, Test/Quiz
Fees
EFTSL*: 0.125
Commonwealth Supported program (Band 2)
To determine the fee for this course as part of a Commonwealth Supported program, go to:
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.
Non-award enrolment
Non-award tuition fees are set by the university. To determine the cost of this course, go to:
How to determine the relevant non award tuition fee. (Opens new window)
Not all courses are available on all of the above bases, and students must check to ensure that they are permitted to enrol in a particular course.
* Equivalent Full Time Study Load. Please note all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation