| Course title | Big data databases |
|---|---|
| Course code | ITE/DPB |
| Organizational form of instruction | Lecture + Lesson |
| Level of course | Bachelor |
| Year of study | not specified |
| Semester | Summer |
| 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, BigData and examples 2. Basic properties and types of NoSQL databases 3. Document oriented databases 4. Mongo DB 5. Database for text search and analysis 6. Elasticsearch 7. Complementary tools for Elasticsearch (Kibana, LogStash) 8. Column databases (Cassandra) 9. Cassandra data model 10. Cassandra example of use 11. Key-value database (Riak) 12. Graph Databases (Neo4J) 13. - 14. Databases for processing of time series (Influx DB)
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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 |
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