Advanced Database Systems

• 26 hrs lectures
• 6 hrs seminar
• 6 hrs pc labs
• 14 hrs projects

• 55 pts final exam (written part)
• 20 pts mid-term test (written part)
• 25 pts projects

The aim of course is to give a broader introduction into post-relational database systems (various kinds of NoSQL, NewSQL, temporal, and distributed DB). Various systems and their implementation techniques are discussed.

Students will be able identify clearly post-relational DB systems and, for selected categories, they will also be able to discuss issues of implementation and usage of such systems.

• Student learns terminology in Czech and English language
• Student improves in participation on a small project as a member of a small team

Number of worldwide data resources is increasing, data kinds stored in databases increases too, ways of data manipulation should change as well. Thus, this course offers introduction and deeper insight into various kinds of database management systems.

Fundamentals of the relational model. Normalization-based design of a relational database. Organization of data at an internal level. Data security and integrity. Transactions. Relational database design from a conceptual model. SQL language. Spatial, object-relational, and XML databases. Algorithms used for indexing in spatial databases.

• Podklady k přednáškám (slajdy, skripty, apod.)
• Lemahieu, W., Broucke, S., Baesens, B.: Principles of Database Management. Cambridge University Press. 2018, 780 p.
• Dunckley, L.: Multimedia Databases: An Object-Relational Approach. Pearson Education, 2003, p. 464, ISBN 0-201-78899-3
• Gaede, V., Günther, O.: Multidimensional Access Methods, ACM Computing Surveys, Vol. 30, No. 2, 1998, pp. 170-231.
• Perkins, L., Redmond, E., Wilson, J.: Seven databases in seven
  weeks: a guide to modern databases and the NoSQL movement. Second
  edition. Pragmatic Bookshelf, 2018. ISBN 978-1-68050-253-4

1. Introduction, post-relational database definition, recap (O-R, multimedia, XML, spatial DB)
2. NoSQL DB - column DB and their indexing, graph DB
3. NoSQL DB - key-value DB, time series
4. NoSQL DB - data aggregation, data warehouses
5. NewSQL DB
6. Column relational DB, comparison with classical storage
7. Mid-term exam
8. Temporal database systems, introduction
9. Temporal data models
10. Algorithms used in temporal database systems
11. Distributed databases I
12. Distributed databases II
13. Conclusion, comparison of various database systems, open items discussion, another DBMS (deductive, object,  ...)

1. Demonstration: introduction to NoSQL DB, column NoSQL DB, DB key-value.
2. Demonstration: No SQL DB + cloud - CQRS.
3. Demonstration: temporal databases - introduction to temporal databases, languages (A)TSQL2, interpreters TimeDB2, TSQL2lib, (A)TSQL2 implementation.

1. Introductory computer exercise and NoSQL databases - introduction to work with particular types of NoSQL databases, indexing in such databases (column DB, key-value DB)
2. NoSQL databases in a cloud - DBMS CQRS, work within cloud, exploitation of DB inside cloud
3. Temporal databases - introduction to languages (A)TSQL2 as a temporal DML/DDL, queries over temporal data via (A)TSQL2
4. Project demonstration

1. Design and implementation of database system for particular scalable application exploiting features of CQRS (Command and Query Responsibility Segregation). Thus, operations over data are primarily performed via relational database and reading of the data is performed via scalable NoSQL database.

• Mid-term exam, for which there is only one schedule and, thus, there is no possibility to have another trial.
• One project should be solved and delivered in a given date during a term.

• Mid-term exam - written form, questions, where answers are given in full sentences, no possibility to have a second/alternative trial. (20 points)
• Projects realization - 1 project (program development according to a given specification) with appropriate documentation. (25 points)
• Final exam is performed in written form. Students are given questions, where answers are provided in full sentences. The maximal amount of points one can get is 55 points - the minimal number of points which must be obtained from the final exam is 23, otherwise, no points will be assigned to a student. The exam has one regular and two corrective periods. Regular period is always performed in fully written way only.  Corrective periods can be performed either in fully written form or in a combined form (both written and verbal performance in a single day, written in the morning verbal in the afternoon). The form of corrective periods is announced as soon as the previous period is evaluated, while the combined form will be performed in the case when for the particular period is assigned no more than 16 students.

At the end of a term, a student should have at least 50% of points that he or she could obtain during the term; that means at least 20 points out of 40.
Plagiarism and not allowed cooperation will cause that involved students are not classified and disciplinary action can be initiated.