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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.

  • Course structure

    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

  • Schedule

    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.
     

  • Course literature

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

     

  • Contact

    This course is part of a programme, course package or incoming exchange studies and is not available for application as a stand-alone course.

    Find more information about Master’s programmes here

    Study counsellors - master
    Margrét Håkansson and Mitra Wijkman
    master@dsv.su.se
    08-16 16 86
    • Visiting address

    • Nod Buildning, Borgarfjordsgatan 12, Kista

    • Office hours

    • Please contact us via email if you want to book a meeting. We are available on Campus in Kista and via Zoom.

    • Phone hours

    • Thursday 12.30–2 pm

    • Irregular office hours

    • Last phone hours of autumn semester 2024: 12 December

      First phone hours of spring semester 2025: 9 January

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