Big Data with Cloud Computing
Objective:
To enrich students' understanding of big data and its relationship with cloud computing. We expect students to learn how to extract useful information from real-life data through cloud platform. In addition, students will carry out practical exercises of various data visualisation techniques.
Description:
The school will organise a series of basic cloud-based big data solution design workshops to students. The workshops include theoretical sessions conducted in a classroom, including cloud computing characteristics and data analysis, followed by practical sessions to design a big data case study related to daily-life.
- PC / laptop / tablet computer with Internet connection
|
- Cloud platform SDK / APIs
- Common programming languages Python / R
|
- Cloud-based big data service platform
|
- Theoretical session covering:
- General cloud computing knowledge on basic cloud technologies and cloud service models suitable for big data solutions
- Define basic cloud technologies
- Differentiate cloud service models
- Big Data on cloud platform
- Real-time data collection
- Storage and data management on cloud platform
- Processing on cloud platform
- Analysis and visualization
- Security
- Practical session covering:
- Group projects on building daily-life big data case study, e.g. tourist behaviour analysis with the geographical data clustering to identify tourist interests, movie recommendation based on previous watches, trending movies, searches, and ratings, etc.
- Share the challenges and lessons learnt
|
- Enhance students' awareness of cloud computing in developing big data solutions
- Equip students with technical skills in building cloud-based big data solutions
- Cultivate students' ability to apply the IT knowledge and skills learnt
- Strengthen students' non-technical skills including creativity and innovation, collaboration skills and problem-solving skills
|
- Theoretical session: 3-9 hours
- Practical session: 3-6 hours
|
|
- Basic session : S1 - S2
- Moderate level session : S3 - S4
|
About 20 students per workshop
4-5 students in a group |
