Course: Big data databases

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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)
  • Červa Petr, doc. Ing. Ph.D.
  • Matějů Lukáš, Ing. Ph.D.
  • Nouza Jan, prof. Ing. CSc.
Course content
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)

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
unspecified

Assessment methods and criteria
Combined examination

Recommended literature
  • HARRISON, G. Next Generation Databases: NoSQLand Big Data. 2015. ISBN 978-1-4842-1330-8.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester