INF20016 Big Data Management
Aim
This unit covers the management perspective of contemporary data management issues (particularly big data) in an organisational/business context. You will be introduced to issues that arise when data is gathered from multiple sources in various formats for many diverse purposes, as well as the relevant managerial, organisational, governance and Information Technology (IT) strategy issues.
You will explore why key aspects of a contemporary data management, such as master data management, cloud storage, social media data, non-relational databases, data warehouses, Infrastructure as a Service (IAAS), Platform. as a Service (PAAS) and Software as a Service (SaaS) should not be regarded as exclusively techno-centric concepts, but also as a business/management consideration.
Unit learning outcomes (ULOs)
Students who successfully complete this Unit should be able to:
1. demonstrate an understanding of the complexity pertaining data, big data and data lifecycle,
which may include data quality, data governance, acquisition and procurement, legal, ethical, risk and security issue
2. analyse and evaluate appropriate data management solutions for specific business needs and requirements
3. demonstrate an understanding of big data management as an enabler of business agility and innovation
4. demonstrate critical thinking, problem solving, and ability to communicate effectively as a professional and function as an effective leader or member of a diverse team.
Graduate attributes
This unit may contribute to the development of the following Swinburne Graduate Attributes:
· Verbal communication.
· Communicating using different media.
· Collaboration and negotiation.
· Teamwork roles and processes.
· Information literacy.
· Technical literacy.
Set text
There is no prescribed text for this unit. All essential and/or additional readings will be provided in each relevant module.
Unit improvements
Swinburne Online strives to continuously improve our units in order to provide a high-quality student experience. Please provide feedback through the Student Feedback Survey and our online teaching staff to help us make improvements to this unit.
· More support and tutorials have been provided to assist with Tableau throughout the unit.
· Editing and minor revisions for improving clarity.
· Assignments have been updated to meet accreditation/align with delivery on campus.
· More interactivity has been added to the learning materials to facilitate a constructivist approach to learning.
Active learning
You will be engaged in an active learning environment, undertaking regular online discussions and guided through the learning process by expert teaching staff who will provide regular feedback. On average, you will need to dedicate 12.5 hours each week for your learning that includes readings, discussions with peers, and assignments.