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- Викладач: Bry Francois
- Викладач: Butz Andreas
- Викладач: Roßmy Beat
- Викладач: Wang Yingding
Enrolment Key: SRaI22021!
- Викладач: De Nicola Giacomo
- Викладач: Kauermann Göran
In almost all areas of business, industry, science, and everybody's
life, the amount of available data that contains value and knowledge is
immense and fast growing. However, turning data into information,
information into knowledge, and knowledge into value is challenging.To
extract the knowledge, the data needs to be stored, managed, and
analyzed. Thereby, we not only have to cope with increasing amount of
data, but also with increasing velocity, i.e., data streamed in high
rates, with heterogeneous data sources and also more and more have to
take data quality and reliability of data and information into account.
These properties referring to the four V's (Volume, Velocity, Variety,
and Veracity) are the key properties of "Big Data". Big Data grows
faster than our ability to process the data, so we need new
architectures, algorithms and approaches for managing, processing, and
analyzing Big Data that goes beyond traditional concepts for knowledge
discovery and data mining. This course introduces Big Data, challenges associated with Big Data,
and basic concepts for Big Data Management and Big Data Analytics which
are important components in the new and popular field Data Science.
- Викладач: Beer Anna
- Викладач: Bernhard Maximilian
- Викладач: Fromm Michael
- Викладач: Schubert Matthias
- Викладач: Genz Fabio
- Викладач: Kranzlmüller Dieter