The Data Management Strategies and Technologies module provides understanding of the fundamental principles, techniques, and technologies essential for effective data management. In today's digital age, data is the lifeblood of successful organizations. But with vast amounts of data being generated, managing it effectively becomes a critical challenge. The module introduces data management systems, focusing on its practical applications with the main emphasis on relational databases (SQL) and contemporary NoSQL approaches which are essential for business analytics. In this module, students explore the fundamentals of data management and focus on building essential skills in collecting, storing and processing data. Also, as big data becomes more and more prevalent in the business context, this module will also introduce basics of big data management techniques and technologies for managing both structured and unstructured data.
Learning Outcomes
By the end of the module students should be able to:
Evaluate the role of data management systems within the business context.
Critically evaluate the data management strategies and processes.
Design and implement data management solutions to address organizational needs.
Apply best practices for data governance, quality, and security.
Assessment
Assessment Methods & Exceptions
Assessment:
2,500 word individual report assignment (70%) 8-min group infographic informed video-recorded presentation (30%)
Reassessment:
Reassessment by failed component:
2,500 word individual report assignment (70%) 5-min individual infographic video presentation (30%)
