1. komponenta

Lecture type	Total
Lectures	30
Exercises	15

COURSE AIMS AND OBJECTIVES:
Enable students to:
- critically think about database systems and selection of databases depending on the IT system;
- work with relational databases in everyday production environment.

COURSE DESCRIPTION AND SYLLABUS:
1. Extending the knowledge of relational database management systems. Transactions. Indexes and active objects within a relational database. Complex data types. Temporal and geospatial databases.
2. Distributed databases. Goals, purpose, advantages, and disadvantages of data distribution. Distributed database structure, replication, fragmentation. Distributed transaction protocols.
3. Nonrelational (NoSQL) databases. Basic terms. Genesis of NoSQL databases. Aggregation data model. NoSQL database consistency and CAP theorem. Types of NoSQL databases. Distributed computing in NoSQL databases.
4. Combining relational and nonrelational systems. Hybrid model of information systems. NoSQL features in the relational DBMSs.

1. NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence, Pramod J. Sadalage, Martin Fowler, Addison Wesley, 2012.
2. The Data Warehouse Toolkit - The Complete Guide to Dimensional Modeling, 2nd edition, R. Kimball, M. Ross, John Wiley & Sons, 2002.
3. Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement, Eric Redmond, Jim Wilson, Pragmatic Bookshelf, 2012.
4. Hadoop in practice, Alex Holmes, Manning, 2012.

Enrollment :
Passed : Database systems

Izborni predmet 3 - Regular study - Financial and Business Mathematics

Izborni predmet 4, 5, 6 - Regular study - Financial and Business Mathematics

Izborni predmet 4, 5, 6 - Regular study - Financial and Business Mathematics