Information Systems Program
INFO 7390: Advances in Data Sciences and Architecture
Lecture - 4 credits
ND
EI
IC
FQ
SI
AD
DD
ER
WF
WD
WI
EX
CE
- Covers a wide range of skills and responsibilities that are necessary for managing complex business performance and operational data.
- Such data tend to be fragmented, poorly organized, and often flawed.
- Offers students an opportunity to learn how a more up-to-date mapping of complex data works and to be alerted to the care and attention they must give to such a task as well as the implications of the results.
- Covers best practices for managing all aspects of the data transformation life cycle, covering broad areas such as requirements gathering, meta-model design, data integration and transformation, as well as implementation and ongoing operations.
- Discusses tools for mapping fragmented data into business intelligence solutions that guide successful strategies.
Covers a wide range of skills and responsibilities that are necessary for managing complex business performance and operational data. Show more.
Pre-requisites