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Module is based on knowledge obtained in BI-DBS. Students become familiar with advanced relational and non-
relational features of SQL language. In particular stored program unites, triggers, recursive queries, OLAP support,
object-relational constructions. Part of the course is dedicated to practical database optimization from the point of
view of specialized database structures like indexes, clusters, index-organized tables, and materialized views. as
well as from the point of view query optimization. Execution plan and possibilities of its. changes will be discussed.
Lectures will usually discuss SQL standard, but many features will be demonstrated on Oracle DBMS. Seminars
are based on Oracle DBMS and partially on PostgreSQL.
Last update: Kubová Petra (09.01.2018)
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Students will be able to: Create advanced SQL queries Optimize SQL queries Last update: Kubová Petra (09.01.2018)
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Pro zı́skánı́ klasifikovaného zápočtu je potřeba dostatek bodů z písemných testů, programovacích úloh a semestrální práce. Last update: Svozil Daniel (07.02.2018)
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R: J. Pokorný, M. Valenta: Databázové systémy, ČVUT Praha 2013 A: I. Holubová, J. Kosek, K. Minařík, D. Novák: Big Data a NoSQL databáze, Grada 2013 Last update: Svozil Daniel (26.03.2019)
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1. Program of seminars, organization, structure and requirements for semester project 2. SQL review, MERGE, OLAP support 3. Consultation to semester project, the first check point 4-6. PL/SQL exercises 7. Consultation to semester project, the second check point 8-9. SQL query optimization, special tools for SQL query optimization 10. Structures for fast data access 11. PostgreSQL - SQL queries optimization basics, pgfounie script 12. Consultation to semester project 13. Object relational features, semester project evaluation Last update: Svozil Daniel (26.03.2019)
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Detailed coures instructions. https://edux.fit.cvut.cz/courses/BI-SQL/ Last update: Kubová Petra (09.01.2018)
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Entry requirement: Course assumes a basic a basic knowledge of SQL language at a level of BI-DBS requirements. Last update: Kubová Petra (09.01.2018)
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Teaching methods | ||||
Activity | Credits | Hours | ||
Příprava na přednášky, semináře, laboratoře, exkurzi nebo praxi | 1 | 28 | ||
Práce na individuálním projektu | 1.5 | 42 | ||
Účast na seminářích | 1.5 | 42 | ||
4 / 4 | 112 / 112 |