| Course title | Big data technologies |
|---|---|
| Course code | ITE/TPB |
| Organizational form of instruction | Lecture + Lesson |
| Level of course | Bachelor |
| Year of study | not specified |
| Semester | Winter |
| Number of ECTS credits | 5 |
| Language of instruction | Czech |
| Status of course | Compulsory, Compulsory-optional |
| Form of instruction | Face-to-face |
| Work placements | Course does not contain work placement |
| Recommended optional programme components | None |
| Lecturer(s) |
|---|
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| Course content |
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Lecture topics: 1. Introduction, examples 2. Offline vs online data processing 3. Distributed computing systems, their properties and components 4. Offline data processing and MapReduce 5. Platform Hadoop 6. Platform Hadoop II 7. Apache Spark 8. Apache Spark II 9. Apache Spark SQL 10. Online data processing 11. Apache Spark streaming 12. Apache Flink 13. Apache Kafka 14. Apache Kafka
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| Learning activities and teaching methods |
| Monological explanation (lecture, presentation,briefing), Self-study (text study, reading, problematic tasks, practical tasks, experiments, research, written assignments) |
| Learning outcomes |
| Prerequisites |
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unspecified
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| Assessment methods and criteria |
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Combined examination
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| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester |
|---|