CTBD

Concepts and Technologies for Distributed Systems and Big Data Processing

The course provides an overview of recent advances in distributed systems for Big Data processing. The course starts presenting computational models for high throughput batch processing like MapReduce. Next, we will introduce software engineering techniques for distributed systems such as REST and component-based architectures. We will then cover low latency real time stream processing and complex event processing. Finally, we will present advanced topics in distributed data-intensive systems, such as geodistribution and security. The course focuses both on the fundamental concepts as well as on the concrete technologies and applications of the aforementioned techniques to real-world case studies.

Summer Term 2017

Forum

Please use the forum for your questions. Other students can benefit from the answers to your questions and can help you, too. Answers will remain as a reference for other people.

Concepts and Technologies for Distributed Systems and Big Data Processing

Exam

The exam in the summer term (SoSe 19) will take place on July 30 at 10:00 in room S101/A01

Lectures

Lectures are held on Friday, 9:50–11:30 in S202/C205.

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