The first assignment aims to assess your knowledge and skills in data warehouse design and modern
networking technologies, in the context of a real-world setting. As we have discovered in lectures and
related reading, the design phase is crucial for the effective use of a warehouse and modern networks
for analytics and AI strategy.
Melbourne City Council, the local government authority for central Melbourne and the surrounding
suburbs, is exploring opportunities and challenges of implementing “Smart City” infrastructure and
technologies for effective delivery of facilities and services, as well as efficient management processes.
Having been in local government for the past 30 years, the CEO of the Council is confident that large
volumes of data accumulated in operational systems can be capitalised towards the foundations of a
“Smart City” analytics infrastructure. She is keen to implement an organisation-wide data
warehousing solution to explore this potential. She has approached an analytics consultancy firm to
start on this project. The business requirements analysis and feasibility study were completed on a
positive note. You have been recruited as the dimensional model specialist to complete the data
warehouse design phase.
During the first meeting with senior management of the Council, it was revealed that Urban planning
and building regulation, Public events, Community health services, Regulation of food premises, and
Waste management, are the primary areas of strategic interest that can equal parts generate new
revenue and provide a personalised service to residents and visitors, at scale. There was also
discussion about the forthcoming opportunities of new technologies; IoT, 5G and Edge computing that
can significantly improve the individual and community experience offered within a Smart City
context. Several others raised concerns about the ethical issues of using wearables and sensors to
track or monitor individuals, but also drew parallels to other smart city initiatives, in Singapore, Oslo
and London.The first assignment aims to assess your knowledge and skills in data warehouse design and modern
networking technologies, in the context of a real-world setting. As we have discovered in lectures and
related reading, the design phase is crucial for the effective use of a warehouse and modern networks
for analytics and AI strategy.
Melbourne City Council, the local government authority for central Melbourne and the surrounding
suburbs, is exploring opportunities and challenges of implementing “Smart City” infrastructure and
technologies for effective delivery of facilities and services, as well as efficient management processes.
Having been in local government for the past 30 years, the CEO of the Council is confident that large
volumes of data accumulated in operational systems can be capitalised towards the foundations of a
“Smart City” analytics infrastructure. She is keen to implement an organisation-wide data
warehousing solution to explore this potential. She has approached an analytics consultancy firm to
start on this project. The business requirements analysis and feasibility study were completed on a
positive note. You have been recruited as the dimensional model specialist to complete the data
warehouse design phase.
During the first meeting with senior management of the Council, it was revealed that Urban planning
and building regulation, Public events, Community health services, Regulation of food premises, and
Waste management, are the primary areas of strategic interest that can equal parts generate new
revenue and provide a personalised service to residents and visitors, at scale. There was also
discussion about the forthcoming opportunities of new technologies; IoT, 5G and Edge computing that
can significantly improve the individual and community experience offered within a Smart City
context. Several others raised concerns about the ethical issues of using wearables and sensors to
track or monitor individuals, but also drew parallels to other smart city initiatives, in Singapore, Oslo
and London.