FI:PA195 NoSQL Databases - Course Information
PA195 NoSQL DatabasesFaculty of Informatics
- Extent and Intensity
- 2/1/0. 3 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Taught in person.
- doc. RNDr. Vlastislav Dohnal, Ph.D. (lecturer)
Mgr. Luděk Bártek, Ph.D. (seminar tutor)
- Guaranteed by
- doc. RNDr. Vlastislav Dohnal, Ph.D.
Department of Machine Learning and Data Processing - Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing - Faculty of Informatics
- Wed 12:00–13:50 B204
- Timetable of Seminar Groups:
PA195/02: Thu 22. 9. to Thu 1. 12. each even Thursday 12:00–13:50 B130, L. Bártek
- Prerequisites (in Czech)
- PB154 Database Systems || PB168 Introduction to DB and IS
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 40 student(s).
Current registration and enrolment status: enrolled: 34/40, only registered: 2/40, only registered with preference (fields directly associated with the programme): 0/40
- fields of study / plans the course is directly associated with
- there are 11 fields of study the course is directly associated with, display
- Course objectives
- The course covers: 1) the principles behind the NoSQL databases, such as chapters from modern distributed database theory, P2P indexing or the MapReduce programming model; 2) architectures and common features of the main types of NoSQL databases (key-value stores, document databases, column-family stores, graph databases); 3) detailed description of selected NoSQL database systems including practical experience; 4) other topics related to Big Data and non-relational databases (data analytics, DB in web browser, influence of NoSQL to relational databases, etc.)
- Learning outcomes
- After the course, students will:
- understand the principles behind the NoSQL databases;
- know architectures and common features of the main types of NoSQL databases (key-value stores, document databases, column-family stores, graph databases);
- know in detail several selected NoSQL database systems including practical experience;
- know about other topics related to Big Data and non-relational databases (data analytics, DB in web browser, influence of NoSQL to relational databases, etc.)
- Why NoSQL, Principles, Taxonomy.
- Distribution Models, Consistency in Distributed Databases.
- MapReduce + Hadoop.
- Key-Value Stores, practical experience with Riak & Infinispan.
- Document Databases, practical experience with MongoDB & PostgreSQL.
- Column-family Stores, practical experience with Cassandra.
- Graph Databases, practical experience with Neo4J.
- Other topics related to Big Data and non-relational databases (data analytics, DB in web browser, influence of NoSQL to relational databases, etc.).
- recommended literature
- HOLUBOVÁ, Irena, Jiří KOSEK, Karel MINAŘÍK and David NOVÁK. Big Data a NoSQL databáze (Big Data and NoSQL Databases). Praha: Grada Publishing, a.s., 2015. 288 pp. Profesionál. ISBN 978-80-247-5466-6. stránka nakladatele info
- SADALAGE, Pramod J. and Martin FOWLER. NoSQL distilled : a brief guide to the emerging world of polyglot persistence. Upper Saddle River: Addison-Wesley, 2013. xix, 164. ISBN 9780321826626. info
- Teaching methods
- Two-hour lectures every week + bi-weekly two-hour practices in the computer room. One or two lectures will be given by external experts about their experience with NoSQL database technologies. During the semester, students will work on their team projects and present the results during the final lectures. The course is given in English.
- Assessment methods
- Requirements for successful completion are attendance at the practices and successful completion of a team project.
- Language of instruction
- Further Comments
- Study Materials
The course is taught annually.
- Teacher's information
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/fi/autumn2022/PA195