Course detail
Databases for Process Control
FSI-VDC-K Acad. year: 2025/2026 Winter semester
The course is an introduction to database systems.
Data processing, redundancy and inconsistency, integrity, confidentiality, multi-user access to data. Index-sequential data organization. Integrity constraints for relationships.
Database system architecture, data models. E-R model, relational algebra, query language of relational algebra.
Theoretical aspects of information systems design. Functional dependencies, normal forms of relations, decomposition theorem.
SQL query language.
Data security.
Clouds and grids.
NoSQL databases.
MongoDB. ElasticSearch. Redis/Valkey.
Language of instruction
Czech
Number of ECTS credits
6
Supervisor
Department
Entry knowledge
To study database systems, basic knowledge of algorithm development is sufficient.
Rules for evaluation and completion of the course
A condition for credit is the implementation of a non-trivial database application using appropriate resources.
The exam is written or electronic. Students demonstrate knowledge of data structure design, relational algebra, SQL and programming.
As the exercises are compulsory, the instructor will check attendance at regular intervals. In case of an excused absence, the student will be given examples to work on independently so that he/she can master the missed material.
Aims
The aim of the course is to introduce students to basic database technologies for effective design and management of applications with large amounts of data in the Internet environment.
The course is designed to introduce students to the theoretical aspects of database application design and implementation in an Internet environment, including the programming techniques involved. They will be able to create an application for efficient management of large amounts of data and also learn how to use cloud services.
Study aids
STEPHENS, R., Beginning Database Design Solutions: Understanding and Implementing Database Design Concepts for the Cloud and Beyond, 2023, 978-1394155729
DATE, C.J., Database Design and Relational Theory: Normal Forms and All That Jazz, 2019, 978-1484255391
KLEPPMANN, M. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems, 2017, 978-1449373320
HERNANDEZ, Michael, J., Database Design for Mere Mortals: A Hands-On Guide to Relational Database Design, 2003, 978-020175284
CARLSON, Josiah, L., Redis in Action, 2013, 978-1617290855
The study programmes with the given course
Programme N-AIŘ-K: Applied Computer Science and Control, Master's, compulsory
Type of course unit
Guided consultation in combined form of studies
17 hours, compulsory
Syllabus
Lectures:
1. Definition of the subject, study literature. Database paradigm. Data classification (physical classification, index files). Disadvantages of classical file processing. Database systems, DDL and DML languages. Database system architecture. Physical and logical independence. Data models – relation to JSON and XML.
2. Relational algebra, basic operations, relational algebra as a query language. T-SQL statements – SELECT.
3. Design of data structures. Normal forms of relations. Index. Aggregation functions. Composite aggregation key.
4. SQL. Subqueries. Multiple openings of the same table, 1:N sessions within the same table, examples of use. Nested aggregation, query implementation by SQL query sequences.
5. SQL. Counting with NULL value. Expression of existential and universal quantifier in SQL. Cross query. Action queries. Definitional queries.
6. No-SQL databases.
7. MongoDB. BSON. JSON.
8. Key-Value database. Redis/Valkey.
9. Key-Value database. Redis/Valkey.
10. No-scheme database – ElasticSearch.
11. No-scheme database – ElasticSearch.
12. Graph databases – Neo4j.
13. Implementation models for using multiple database types by application type
Guided consultation
35 hours, optionally
Syllabus
1. The most common software implementation methods for working with databases, Entity Framework
2. Implementing a database resource in a REST application
3. Ensuring the validity of the data source from an implementation point of view
4. Using database procedures for data access, advanced querying
5. Methods of integrating multiple database sources
6. Database modification and update
7. – 8. Implementation of No-SQL database for unstructured data
9. -10. Implementation of an in-memory database for processing data flows
11. – 12. Demonstration of ElasticSearch/Neo4j implementation.
13. Project consultation.