This course is an extension of Database Systems course. It covers advanced topics and divergences in DB field. Advanced topics would include business intelligence, data warehousing, OLAP, data mining, web databases, NOSQL databases, and cloud databases. This course will be studying how to develop robust transactional database applications using standard database connectivity ODBC and the role of persistence frameworks & application servers with a persistence service in DB application development. Personal and team projects on databases and database application components development will be key components of the course using the open-source object-relational DB systems.
Bachelor of Computer Science - 144 CRs
Wilfried Lemahieu, Seppe vanden Broucke, and Bart Baesens, Principles of Database Management, Cambridge University Press
| content serial | Description |
|---|
| 1 | Introduction |
| 2 | DB Design Methodology & Use of UML Diag. |
| 3 | Data warehousing and business intelligence |
| 4 | Data warehouse Modelling |
| 5 | Multidimensional modelling and OLAP |
| 6 | Introduction to Data Mining |
| 7 | 7th Week Exam |
| 8 | Data Mining Techniques 1 |
| 9 | Data Mining Techniques 2 |
| 10 | Web DB Basics & Cloud Databases |
| 11 | Approaches to Integrate Web and DBs |
| 12 | 12th Week Exam |
| 13 | NOSQL Databases |
| 14 | Big Data and Hadoop, and Map Reduce |
| 15 | Student Seminars |
| 16 | Final Exam |
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