Data science is advancing the inductive conduct of science and is driven by big data available on the Internet.
This course will explain the technologies and techniques to improve the access, security, and performance of big data processing and storage systems. This course will help students:
- acquire the necessary skills as an analyst for big data system;
- identify the security aspects of the data and determine the appropriate measures to protect it;
- have an exposure and training in designing basic infrastructure for the application of big data with sensitive nature of the low-power edge devices.
This course includes parallel and distributed processing, grid and cloud computing, big data tools, big data processing techniques, network infrastructure and architecture, network performance and security for big data.
This course will explain the technologies and techniques to improve the access, security, and performance of big data processing and storage systems. This course will help students:
- acquire the necessary skills as an analyst for big data system;
- identify the security aspects of the data and determine the appropriate measures to protect it;
- have an exposure and training in designing basic infrastructure for the application of big data with sensitive nature of the low-power edge devices.
This course includes parallel and distributed processing, grid and cloud computing, big data tools, big data processing techniques, network infrastructure and architecture, network performance and security for big data.
- Lecturer: ENCIK GIAN CHAND @ SODHY A/L DIDAR SINGH
Skill Level: Beginner