Equip yourself with the skills to effectively interact with large structured and unstructured data sets in our comprehensive course.

Explore critical topics such as concurrency and transaction management, data organisation, hashing, indexing, and query optimisation. Learn about active databases and procedures, distributed database design, fragmentation, and replication. Master the intricacies of distributed transactions and delve into the architecture and components of data warehouses.

Understand data warehouse modelling, including star and snowflake schemas, and gain proficiency in multidimensional Online Analytical Processing (OLAP) and relational OLAP analysis. Learn to design data warehouses and manage data uploading, updating, and integration.

Adelaide University's 10-week short courses give you the flexibility to up-skill in a certain area, stay current with developments in your field, diversify your knowledge, or even explore a new direction in your career – without having to commit to the time and cost of a full university degree.

This is a second-year course from Adelaide University's Bachelor of Data Analytics. When studying this course as a "single subject", prior knowledge from INFT 1032 , INFO 3038 or equivalent will support your success.

Delivered 100% online, you’ll be able to study where and when it suits you. Access online academic and student support seven days a week, fit study around work and life commitments, view learning resources 24/7, and log in to the interactive online environment anywhere, any time and on any device. Should your course have an exam it will be scheduled for Australian Central Standard Time or Australian Central Daylight Time, depending on the time of the year.

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