This course covers the distributed database concepts, different database models, and database management systems. Specific elements include learning to data modelling and database development process. Also covered is the manipulation of warehouse data for maintenance, updating and data extraction. Data Mining and Warehouse techniques through the use of different tools may also be taught.
Main:
1.
Watson,
R. T. (2016). Data management, databases and organizations (6. ed.). John Wiley
& Sons. 2.
Elmasri,
R., & Navathe, S.B. (2016). Fundamentals of Database Systems, 7th edition.
New York: Pearson Education. 3.
Provost,
F. & Fawcett, T. (2013). Data Science for Business. Sebastopol: O'Reilly
Media 4.
Kitchin,
R. (2014). Big Data, new epistemologies and paradigm shifts. Big Data &
Society, 1(1), 2053951714528481. 5.
Bob Bryla,
Kevin Loney (2013) Oracle Database 12c The Complete Reference. Oracle Press 6.
Carlos
Coronel, Steven Morris (2014) Database Systems: Design, Implementation, &
Management 8.
GalitShmueli,
Peter C. Bruce, InbalYahav, Nitin R. Patel, Kenneth C. Lichtendahl (2017)
Data Mining for Business Analytics: Concepts, Techniques, and Applications in
R. Wiley 9. Ralph Kimball, Margy Ross (2013) The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling 11 Matteo Golfarelli and Stefano Rizzi (2009) Data Warehouse design: Modern Principles and Methodology 12 Erik Thomsen (2002) OLAP Solutions: Building Multidimensional Information Systems
Additional:
1. Claudia Imhoff, Nicholas Galemmo, Jonathan G. Geiger: Mastering Data Warehouse Design Relational and Dimensional Techniques, Wiley Publishing, 2003.2. M. Tamer Özsu, Patrick Valduriez Principles of Distributed Database Systems 3rd ed. 2011 Edition
3. W. H. Inmon Building the Data Warehouse 4th Edition
4. Maarten van Steen, Andrew S. Tanenbaum Distributed Systems 3.01 Edition