INF-2220 Cloud and Big Data Technology - 10 stp

The course can be taken as a singular course.

Recommended prerequisites is programming skills in python and / or the course INF-1400 Objektorientert programmering.

The field of cloud computing and cloud technologies is dynamic and emerging. It changes rapidly. There are some fundamental concepts that stay relatively unchanged, and there is an innovation in tools and technologies that often change. Due to those characteristics, the course lectures are subject to change, based on contemporary market adjustments.

The current coverage includes, but is not limited to introductory concepts such as Cloud and Networking Architectures, grid computing and parallel-computing, Cloud infrastructure, Cloud Storage and security, Cloud services, Economic and Legal Aspects (e.g. Business models, Pricing models; and Service-Level Agreements, Privacy).

Fundamentals of virtualization and related topics includes Introduction to virtualization, Virtual Machine management, Machine migration, High availability, Fault tolerance; and Distributed resource scheduler.

Big data includes Overview, Platforms; and Technologies.

Practical Skills includes Cloud Technology (e.g. Microsoft Azure) and Big Data Platform (e.g. Apache Spark).

Beside extensive lab work, both guided and self-exercise, problem solving component for competence development is also included.

Optional topics which may be considered are Containerization and / or Cloud-based web APIs.

Knowledge - The student

• understands cloud technology centers operations, requirements and challenges
• understands principles of cloud services, and the social, legal, and security impacts of cloud computing
• is familiar with current cloud solutions offered by relevant vendors
• is familiar with a range of Big Data technologies
• is familiar with principles of virtualization

Skills - The student can

• discuss cloud technologies and concepts related to cloud services
• perform virtualization management
• evaluate cloud-based solutions for a specified application problem
• plan and evaluate security of a software solution
• deploy basic developed cloud services using industry tools and best practices
• can describe principles of virtualization

General competence - The student

• has developed confidence in cloud service platform operation
• has developed confidence and skills of approaching the problems arising on cloud platforms
• can discuss solutions with network and data center operators
• can contribute to cloud security discussion