Course detail
Advanced Database Systems
FIT-PDBAcad. year: 2020/2021
The course offers broader introduction into the following modern database systems: various kinds of NoSQL databases, NewSQL databases, temporal databases, distributed databases, and advanced relational databases. There are also discussed principles of the modern database systems, their scheme, and techniques for efficient usage of such systems. In the lectures, there are also introduced implementation principles of the modern database systems and data manipulation techniques.
Guarantor
Department
Learning outcomes of the course unit
- Student learns terminology in Czech and English language
- Student improves in participation on a small project as a member of a small team
Prerequisites
Co-requisites
Recommended optional programme components
Literature
Lemahieu, W., Broucke, S., Baesens, B.: Principles of Database Management. Cambridge University Press. 2018, 780 p.
Kim, W. (ed.): Modern Database Systems, ACM Press, 1995, ISBN 0-201-59098-0
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
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.
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
- 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.
Exam prerequisites:
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.
Language of instruction
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
- 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. (20 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 60 points - the minimal number of points which must be obtained from the final exam is 25, 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.
Classification of course in study plans
- Programme IT-MGR-2 Master's
branch MPV , any year of study, winter semester, 5 credits, elective
branch MBS , any year of study, winter semester, 5 credits, elective
branch MIN , any year of study, winter semester, 5 credits, compulsory-optional
branch MMI , any year of study, winter semester, 5 credits, compulsory-optional
branch MMM , any year of study, winter semester, 5 credits, elective - Programme MITAI Master's
specialization NADE , any year of study, winter semester, 5 credits, elective
specialization NBIO , any year of study, winter semester, 5 credits, elective
specialization NGRI , any year of study, winter semester, 5 credits, elective
specialization NNET , any year of study, winter semester, 5 credits, elective
specialization NVIZ , any year of study, winter semester, 5 credits, elective
specialization NCPS , any year of study, winter semester, 5 credits, elective
specialization NSEC , any year of study, winter semester, 5 credits, elective
specialization NEMB , any year of study, winter semester, 5 credits, elective
specialization NHPC , any year of study, winter semester, 5 credits, elective
specialization NIDE , any year of study, winter semester, 5 credits, elective
specialization NISY , any year of study, winter semester, 5 credits, elective
specialization NMAL , any year of study, winter semester, 5 credits, elective
specialization NMAT , any year of study, winter semester, 5 credits, elective
specialization NSEN , any year of study, winter semester, 5 credits, elective
specialization NVER , any year of study, winter semester, 5 credits, elective
specialization NSPE , any year of study, winter semester, 5 credits, elective - Programme IT-MGR-2 Master's
branch MBI , 1. year of study, winter semester, 5 credits, compulsory
branch MGM , 1. year of study, winter semester, 5 credits, compulsory
branch MSK , 1. year of study, winter semester, 5 credits, compulsory-optional
branch MIS , 1. year of study, winter semester, 5 credits, compulsory - Programme MITAI Master's
specialization NISD , 2. year of study, winter semester, 5 credits, compulsory
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
- Introduction, post-relational database definition, recap (O-R, multimedia, XML, spatial DB)
- NoSQL DB - column DB and their indexing, graph DB
- NoSQL DB - key-value DB, time series
- NoSQL DB - data aggregation, data warehouses
- NewSQL DB
- Column relational DB, comparison with classical storage
- Mid-term exam
- Temporal database systems, introduction
- Temporal data models
- Algorithms used in temporal database systems
- Distributed databases I
- Distributed databases II
- Conclusion, comparison of various database systems, open items discussion, another DBMS (deductive, object, ...)
Fundamentals seminar
Teacher / Lecturer
Syllabus
- Demonstration: introduction to NoSQL DB, column NoSQL DB, DB key-value.
- Demonstration: No SQL DB + cloud - CQRS.
- Demonstration: temporal databases - introduction to temporal databases, languages (A)TSQL2, interpreters TimeDB2, TSQL2lib, (A)TSQL2 implementation.
Exercise in computer lab
Teacher / Lecturer
Syllabus
- Introductory computer exercise and NoSQL databases - introduction to work with particular types of NoSQL databases, indexing in such databases (column DB, key-value DB)
- NoSQL databases in a cloud - DBMS CQRS, work within cloud, exploitation of DB inside cloud
- Temporal databases - introduction to languages (A)TSQL2 as a temporal DML/DDL, queries over temporal data via (A)TSQL2
- Project demonstration
Project
Teacher / Lecturer
Syllabus
- 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.