Big Data with NoSQL Databases

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.



Teaching Format

The teaching and learning activities in the course are: lectures, practical exercises/lessons and a final seminar. The language of instruction is English.


Assessment

The course is examined as follows: 

  • on-campus written exam
  • written assignments

Examiner


The 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.
Note that the course literature can be changed up to two months before the start of the course.


Course reports are displayed for the three most recent course instances.








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