DSP451 Large Databases

Code DSP451
Name Large Databases
Status Compulsory/Courses of Limited Choice
Level and type Post-graduate Studies, Academic
Field of study Computer Science
Faculty
Academic staff Jānis Eiduks
Credit points 4.0 (6.0 ECTS)
Parts 1
Annotation The problems of large database (DB) design. Multibases systems. Homogeneous and heterogeneous DB systems. The data models of large DB. Optimization of DB structure. Client/server technologies. DB and transaction servers. The adminstration problems of large DB. Security policy of DB. Auditing DB use. Tuning process of DB. Recovering and backing up a DB..
Goals and objectives
of the course in terms
of competences and skills
1. Adoption of database systems extensions design and development technologies. 2. Design and development of spatial database extensions. 3. Design and development of temporal database extensions. 4. Design and development of multidimensional database extensions. 5. Design and development of intelligent databases extensions. 6. Design and development of XML database extensions.
Learning outcomes
and assessment
The student understands and knows how to develop a spatial databases - Final evaluation = 0.6* total evaluation of practical works + 0.4 * examination mark
The student understands and knows how to develop a temporal databases - Final evaluation = 0.6* total evaluation of practical works + 0.4 * examination mark
The student understands and knows how to develop a deductive databases - Final evaluation = 0.6* total evaluation of practical works + 0.4 * examination mark
The student understands and knows how to develop an active databases - Final evaluation = 0.6* total evaluation of practical works + 0.4 * examination mark
The student understands and knows how to develop a data warehouses - Final evaluation = 0.6* total evaluation of practical works + 0.4 * examination mark
The student understands and knows how to develop XML databases - Final evaluation = 0.6* total evaluation of practical works + 0.4 * examination mark
Course prerequisites Relational algebra, temporal algebra, objects algebra, relational and object-relational database systems, logical programming, foundation of artificial intelligence.

[Extended course information PDF]