| Course title |
Software Engineering of Large Databases |
| Acronym |
13M111SIBP |
| Study programme |
Electrical Engineering and Computing |
| Module |
Applied Mathematics, Audio and Video Communications, Audio and Video Technologies, Biomedical and Environmental Engineering, Biomedical and Nuclear Engineering, Computer Engineering and Informatics, Electronics, Electronics and Digital Systems, Energy Efficiency, Information and communication technologies, Information and Communication Technologies, Microwave Engineering, Nanoelectronics and Photonics, Power Systems - Networks and Systems, Power Systems - Renewable Energy Sources, Power Systems - Substations and Power Equipment, Signals and Systems, Software Engineering, System Engineering and Radio Communications |
| 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. |
- Big Data: Concepts, Technology, and Architecture, Balamurugan Balusamy, Nandhini Abirami, Amir H. Gandomi, Wiley, 2021 (Original title)
- Tiwari S, „Professional NoSQL“, John Wiley & Sons, Inc., SAD, 2011 (Original title)
- Sangeetha, S., & Sreeja, A. K. (2015). No Science No Humans, No New Technologies No changes" Big Data a Great Revolution. (Original title)
- NoSQL Databases by Christof Strauch https://www.christof-strauch.de/nosqldbs.pdf (Original title)
- Bernard Marr, Data Strategy: How to Profit from a World of Big Data, Analytics and the Internet of Things Paperback – 2017 (Original title)
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