After successful completion of the course, students are able to
Theory: Map/Reduce, Spark, edge computing, execution graphsPractical part: Hadoop, Spark, implementation of large-scale data processing and machine learning tasks, edge computing
Practical implementation of large-scale data processing and machine learning tasks in homogeneous and heterogeneous environments
Location: EI 9 Hlawka HS at Gußhausstr. 27-29 - Neu El (ground floor)
Grading based on 3 assignments (A1: 100pt, A2: 100pt, A3: 100pt; Sum 300pt);
ECTS Breakdown:3.0EC = 75h7.5 lectures: 15hExercise 1: 20hExercise 2: 20hExercise 3: 20h
The student has to be enrolled for at least one of the studies listed below