Big Data with NoSQL Databases
7.5 credits cr.
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The course discusses the motivations behind the development of Big Data and the technologies developed to handle the properties of Big Data.
These can usually not be handled by traditional database management systems due to the volume, variation and speed of the data with which they are generated. Alternative forms of representation of data have therefore evolved within the NoSQL framework. The course addresses different approaches to NoSQL within Hadoop, which is a modular framework that allows distributed storage and analysis of large amounts of data. The course covers different data sources and types of data including streaming data. The course also deals with predictive modelling with large amounts of data and gives examples of some typical applications.
The teaching consists of lectures, practical assignments, teaching sessions and a seminar.
The course is examined as follows:
- written examination
- written assignments
ScheduleThe schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course.
Course literatureNote that the course literature can be changed up to two months before the start of the course.
This course is part of a programme and is not available for application as a stand-alone course.
If you are a student at one of our Master’s programmes and have questions about the course, please contact the student counsellors