About the Course

This is a project-based workshop that exposes students to the theories and techniques of cloud computing and the use of cloud-native open-source systems to build big data analytics applications.

Learning Objectives include:
Understanding of key principles of cloud computing concepts, models, technologies and its application for big data.

The workshop is divided into two parts: a 3-hr lecture that introduces basic cloud computing concepts, modules and technologies, and a project to develop big data cloud applications augmented with five 2-hr project-related lectures. 

I. Topics include but not limited to: 

• Concepts and principles of cloud computing
• Cloud computing service (delivery) models
• Virtualization technology
• Container orchestration framework
• Cloud native ecosystem
• Big data frameworks
• Messaging and data services
• Stream processing engines

II. Cloud-based Big Data Projects - The learning outcome of the team-project is to design a big data application and to develop its implementation on a public cloud. A hackathon-like approach will be adopted to allow students to suggest ideas and form teams based on individual interests and skills. Four 2-hr lectures cover programming PaaS and SaaS IBM cloud services and pattern-based approach to design and implement big data applications. Students learn by examples with hands-on laboratories. For data, students can tap on the rich Singapore Smart Nation Open Government Data repositories among others. 

Prerequisite: Knowledge of programming is compulsory; proficiency in JAVA and/or GO will be helpful; background in Linux operating system will be useful.