Big Data Basics AAI

Course aim

To explore Big Data concepts, including cloud and big data architectures, an overview of Big Data analytics, implementation of Big Data initiatives, and to apply these concepts using an industry standard non-relational database environment.

Course content

Part A: Big Data Fundamentals
The Data explosion and the evolution of Big Data;
Issues and challenges with the data explosion;
Management;
 - Transfer & storage, processing.
 - Definition of Big Data
Characteristics of Big Data;
Sources of Big Data(eg social media, customer reviews, census data, sensor data, GIS etc);
Benefits of Big Data;
Challenges with the data explosion;
 - Information management;
 - Privacy & security;
 - Data analytics;
 - Information Strategy;
 - Skills and competencies;
 - The role of the Data Scientist.

Part B: Big Data Technologies Roadmap
Cloud and Big Data architectures;
Non-relational databases: techniques for storing and processing large volumes of structured and unstructured data;
Streaming data;
Unstructured data (text, video, audio etc);
Hadoop, MapReduce and the Big Data ecosystem;
Information Quality & Governance of Big Data.

Part C: Big Data Analytics Overview
Reasoning, logic etc;
Dealing with uncertainty;
Search, indexing, & memory;
Streams, information & language;
Analysing sentiment;
Information extraction;
Visualisation.

Part D: Execution and Implementation of Big Data Initiatives
The Business Case for Big Data Initiatives;
Why should companies invest in Big Data;
Analytical Process Management;
Innovation using Big Data;
Case Studies.

Part E: Big data analytics in policy evaluation and development.

Part F: Future Directions in Big Data

Textbook(s)

Nil

Prerequisite(s)

Nil

Corequisite(s)

Subject Area & Catalogue Number	Course Name
Group 1 This course, plus this group of co-requisites are intended to be taken together in an Employer Reserve program.
INFS 5110	Business Intelligence and Analytics AAI
MATH 5046	Statistics for Data Science AAI
INFS 5111	Relational Databases and Warehouses AAI

Teaching method

Component	Duration
INTERNAL, CITY WEST
The course will be scheduled outside of the timetabling system, using the contract with AAI to determine the activities and schedule.	4 hours x 13 weeks

Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.

Assessment

Assignment, Continuous assessment, Project

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.