13M111SIBP - Software Engineering of Large Databases

Course specification
Course title Software Engineering of Large Databases
Acronym 13M111SIBP
Study programme Electrical Engineering and Computing
Type of study master academic studies
Lecturer (for classes)
    Lecturer/Associate (for practice)
    Lecturer/Associate (for OTC)
    ESPB 6.0 Status elective
    Condition Data base management systems
    The goal Understanding the architectures of modern DBMS for large scale structured and non structured databases, different possibilities for their analytical processing and integration and evaluation the different commercial tools.
    The outcome Students will be able to use modern DB technologies, NoSQL, NotOnlySQL, LogicalDataWarehouse, InMemoryComputing, and BigData, which are the basis for development of IoT, Cloud, SmartMachines and BYOD, and: •Evaluate the different DBMS and their features •Complete implementation of selected case study from the Experience Repository; •Gain practical experiences on using industry-strength tools.
    Contents of lectures DB Taxonomy: DBMS models and architectures:NoSQL, NotOnlySQL, LogicalDataWarehouse, InMemoryComputing, BigData; DB integration: language-oriented (embedded SQL); driver-oriented (ODBC, JDBC) (architectures, driver types, application scenarios); component-based; SOA integration; Web Services; agent-based; IoT, Cloud, SmartMachines, BYOD. AMDD development methodology.
    Contents of exercises Identification of design challenges using AMDD development methodology. Evaluation of the different commercial tools: NoSQL (mongoDB, Cassandra, Hypertable,CouchDB) i BigData (Hadoop, ApacheSpark). Students, organized in teams, select an appropriate project proposal from the Experience Repository (ER), design, implement and document the development process.
    1. Modern Database Management (10th Edition) by Jeffrey A. Hoffer, V. Ramesh, and Heikki Topi (Hardcover - Jul 29, 2010) (Original title)
    2. Tiwari S, „Professional NoSQL“, John Wiley & Sons, Inc., SAD, 2011 (Original title)
    3. Sangeetha, S., & Sreeja, A. K. (2015). No Science No Humans, No New Technologies No changes" Big Data a Great Revolution. (Original title)
    4. NoSQL Databases by Christof Strauch (Original title)
    5. Bernard Marr, Data Strategy: How to Profit from a World of Big Data, Analytics and the Internet of Things Paperback – 2017 (Original title)
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    2 2 1
    Methods of teaching Instructional methods include classical lectures, class discussions, individual homeworks (practical projects) and email discussion list.
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures 0 Test paper 30
    Practical lessons 0 Oral examination 0
    Projects 70
    Colloquia 0
    Seminars 0