Libraries for parallel data processing

Libraries for parallel data processing
9600-1020/01
čeština Libraries for parallel data processing
9600-1020/02
angličtina

Course aims

Students get an overview of libraries and frameworks for parallel processing of large data and gain a basic experience with usage of most famous libraries. The course shows basic concepts and manipulations with big data and basic paradigms and programming models for their processing. Exercises will use Python, a programming language where all well-known frameworks can be used.

Literature

• Pandas documentation: http://pandas.pydata.org/
• Spark documentation: https://spark.apache.org/docs/latest/
• Tensorflow documentation: https://www.tensorflow.org/
• Keras documentation: https://keras.io/
HENDL, J., Big data - Věda o datech, základy a aplikace, Cosmopolis, 2021.

Advised literature

• Nathan Marz and James Warren: Big Data - Principles and best practices of scalable realtime data systems, Manning, April 2015 .

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Language of instruction	čeština, angličtina
Code	9600-1020
Abbreviation	KPZD
Course title	Libraries for parallel data processing
Coordinating department	IT4Innovations
Course coordinator	Ing. Jan Martinovič, Ph.D.