Data Management for Data Analytics

After this course, students will be able to

• understand the basics of conceptual data modeling in the Entity Relationship model and UML, and translating a natural language specification of a conceptual model into a relational database schema;
• understand the relational database model;
• understand and create advanced SQL and Datalog queries for retrieving relevant data, potentially spanning multiple database tables and involving recursion and aggregation of data;
• will acquire the ability to design, based on a problem description in a variety of application domains, a database suited to solve this problem; and,
• will be able to quickly master and make practical use of contemporary frameworks and technologies for relational data management.

The focus of the course is on practical problem-solving in an application domain. Students will gain practical experience developing the ability to design effective databases based on a solid understanding of the underlying principles. By design, hands-on practical assignment(s) using contemporary frameworks and technologies are a central component of the course. The following topics will be covered:

• Data modeling: conceptual modeling in the ER model and UML; logical data modeling in the relational database model; optimization of logical models, basics of normalization.
• Querying databases: SQL basic queries, aggregation; Datalog basic queries, recursion.

You must meet the following requirements

• Registered for a degree programme other than
• HBO-TOP Applied Physics, Pre-Master, Fulltime
• Completed none of the course modules listed below
• Datamodelling and Databases (2ID50)

• “Database System Concepts”, Sixth Edition. Silberschatz, Korth and Sudarshan, 2011 (ISBN 978-0-07-352332-3). Weekly readings will be posted on Canvas.