UO Big Data in the Cloud

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:
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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