Cloud-Based Data Processing

What it is about

You will learn how large-scale, cloud-based systems are designed, implemented and operated. The module conveys foundations of distributed systems, data center infrastructure and current cloud technologies as well as methods for scaling, resource management and identifying bottlenecks.

What you will be able to do

• Define requirements and challenges of large-scale cloud data processing
• Explain and assess the design principles of technologies for managing data center resources
• Apply theoretical foundations of distributed algorithms to building blocks for scalable system design
• Understand and analyze goal conflicts in the design of scalable data processing systems in public clouds
• Design, implement and evaluate a three-layer system with current cloud technologies
• Identify scalability bottlenecks and weaknesses of complex computer systems

What the module consists of

• VorlesungIntroduction of theoretical foundations and current developments with examples and discussions
• ÜbungsgruppenPractical and conceptual deepening, discussion of typical tasks and discussion of assignments

Teaching method

• VorlesungIntroduction to theories and state-of-the-art developments; illustration through examples and discussions
• HausaufgabenLiterature study, analysis of requirements and design of scalable architectures
• ÜbungsgruppenPractical and conceptual deepening as well as discussion of solutions