Lecture: Data Engineering - Details

General information

Course name	Lecture: Data Engineering
Course number	INF-0411
Semester	SS 2026
Current number of participants	41
Home institute	Data Management und Engineering
Courses type	Lecture in category Teaching
First date	Wednesday, 15.04.2026 10:00 - 11:30, Room: (N-2013)
Veranstaltung findet in Präsenz statt / hat Präsenz-Bestandteile	Yes
Hauptunterrichtssprache	deutsch

Lecturers

• Prof.Dr. Fabian Panse
• Dr. Jennifer Neumann

Tutor

• Jacob Thorwarth

Rooms and times

(N-2013)

Wednesday: 10:00 - 11:30, weekly (14x)

Thursday: 15:45 - 17:15, weekly (12x)

Fields of study

• Fakultät für Angewandte Informatik > Informatik

Module assignments

• Data Science Bachelorstudiengang Data Science, 5. Version valid from WS 2024/25 > E. KI & Data Engineering > INF-0411 - Data Engineering > Data Engineering (Vorlesung)
• Data Science Bachelorstudiengang Data Science, 8. Version valid from SS 2026 > E. KI & Data Engineering > INF-0411 - Data Engineering > Data Engineering (Vorlesung)
• Data Science Bachelorstudiengang Data Science, 7. Version valid from WS 2025/26 > E. KI & Data Engineering > INF-0411 - Data Engineering > Data Engineering (Vorlesung)
• Data Science Bachelorstudiengang Data Science, 6. Version valid from SS 2025 > E. KI & Data Engineering > INF-0411 - Data Engineering > Data Engineering (Vorlesung)

Comment/Description

In dieser Vorlesung werden grundlegende Themen des Data Engineerings vermittelt. Dies beinhaltet:
- Data Collection
- Data Profiling
- String Matching
- Schema Matching
- Entity Matching
- Data Warehousing
- Data Mining
- NoSQL Data Management
- Big Data and Data Stream Processing