Big Data Architecture

The course gives an overview of main aspects of Big Data. Central topics are frameworks for Big Data processing (MapReduce, Spark, Flink, etc.), mining Big Data, data streams, vector search, recommender systems, and social network analysis.

Knowledge: The candidate will get knowledge of: - Big Data frameworks - Mining of Big Data - Processing of data streams - Vector search - Recommender systems - Analysis of social networks. Skills: - Understand important aspects of Big Data - Ability to apply acquired knowledge for understanding data and select suitable methods for processing and analyzing Big Data.

Lectures and exercises.