Knowledge

The student ...

understands the cloud computing paradigm: how and why this paradigm shift came about, the characteristics, advantages and challenges brought about by the various models and services in cloud computing
understands the linkages between business intelligence and business analytics and the potential costs to and benefits
understands the principles in data-centered design; cloud management techniques and cloud software deployment considerations.
has developed knowledge of Big Data Analytics: Concepts, Lifecycle, Challenges, Opportunities, and Exemplary Cases

Skills

The student...

is able to characterize the phenomena of Big Data and Big Data Analytics
is able to illustrate the fundamental concepts of cloud storage and demonstrate their use in storage systems in cloud architectures
can apply a variety of distributed programming models such as map-reduce, Dryad, dockers and containers
has skills in cloud storage technologies and relevant distributed file systems

General competence

The student...

is able to analyze various cloud programming models and apply them to solve problems on the cloud
can discuss system, network and storage virtualization and outline their role in enabling the cloud computing system model
the student is able to design, deploy and utilize components of a cloud environment under the industry accepted cloud provides such that Google Cloud Platform, Microsoft Azure, etc

Subject description PGR108

Big Data and Cloud Computing