Big Data Systems

Course description

Content
The aim of this course is to give the participants an understanding of the technologies of computer systems for Big Data analysis and administration. It covers both traditional methods used for data storage and parallel database systems, real-time stream processing systems, transaction-based database systems, and modern technologies for cloud computing and massively parallel data analysis platforms.

Prerequisites
The course is based on the knowledge acquired in the course NDAK15006U Advanced Computer Systems (ACS) or equivalent. Knowledge about Java, including concurrency and communication mechanisms. Knowledge of UNIX / shell scripting is useful, but not required.

Practical information

The course is offered as a single-subject course at the Faculty of Science. Single-subject courses typically run for seven to nine weeks with scheduled activities approx. one day per week.

You will be attending the course together with full-time students from the Faculty of Science, and you must meet various admission requirements. The course ends with an exam.

The number of places is limited, and they are allocated on a first-come, first-served basis, so do not delay your application!