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Algorithms for Big Data

Summary

Students, during the course, are introduced to the basic approaches, methods and algorithms from big data processing.
The lectures will provide the necessary amount of theory so that it can be applied during the individual work of the students on the tutorials.
Tutorials will provide space for discussing the problems, showing practical tasks and exercising on simple examples.

Literature

Fatos Xhafa, Leonard Barolli, Admir Barolli, Petraq Papajorgji.Modeling and Processing for Next-Generation Big-Data Technologies: With Applications and Case Studies. Springer 2014.

Robinson, Ian; Webber, Jim; Eifrem, Emil.Graph Databases. O'Reilly Media. 2014.


O'Reilly Radar Team. Big Data Now: Current Perspectives from O'Reilly Radar, O'Reilly Media. 2014.

Advised literature

O'Reilly Radar Team. Big Data Now: Current Perspectives from O'Reilly Radar, O'Reilly Media. 2014.


Language of instruction čeština, angličtina
Code 460-4101
Abbreviation ARD
Course title Algorithms for Big Data
Coordinating department Department of Computer Science
Course coordinator prof. RNDr. Václav Snášel, CSc.