4608151: C15 Data Management

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Semester:WS 18/19
Scheduled in semester:3
Semester Hours per Week / Contact Hours:52.0 L / 39.0 h
Self-directed study time:141.0 h

Module coordination/Lecturers


Master's degree programme in Information Systems (01.09.2015)


Short description
The course covers the important aspects of modern data management, from design and querying to transaction processing and from traditional to present-day data-driven applications. Students will learn how to handle various data formats, assess and eventually improve data quality, and handle data using SQL, NoSQL, and Hadoop technologies. The course will also look into the basics of mining (big) data sets.


  • Modern data management requirements
  • Database system architecture
  • Database design using the ER model
  • Relational databases (SQL)
  • Concurrency control techniques
  • NoSQL databases (e.g., MongoDB)
  • Apache Hadoop (HDFS, MapReduce)

Lecture Goals

  • Students will acquire and understand foundational concepts and methods of modern data management
  • Students will study the preparation of data in order to enable data-driven applications
  • Students will select and apply appropriate technologies for building data-driven applications


Lectures Method

  • The module integrates theoretical knowledge and practical skills in an interactive lecture.
  • Selected sessions will also require preparation of the participants through videos that will be provided in advance.
  • The e-learning platform Moodle will be used throughout the course for the dissemination of course material and discussions.

Admission Requirements

Recommended previous knowledge

  • Module “Process and Data Management”


  • Elmasri, R., & Navathe, S.B. (2016). Fundamentals of Database Systems, 7th edition. New York: Pearson Education.

Exam Modalities

Written exam (90min)