Hasso-Plattner-InstitutSDG am HPI
Hasso-Plattner-InstitutSDG am HPI
  
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Information Integration (Wintersemester 2019/2020)

Lecturer: Prof. Dr. Felix Naumann (Information Systems) , Tim Repke (Information Systems)
Course Website: https://hpi.de/en/naumann/teaching/teaching/ws-1920/information-integration.html

General Information

  • Weekly Hours: 4
  • Credits: 6
  • Graded: yes
  • Enrolment Deadline: 01.10.-30.10.2019
  • Teaching Form: Lecture / Exercise
  • Enrolment Type: Compulsory Elective Module
  • Course Language: English
  • Maximum number of participants: 50

Programs & Modules

IT-Systems Engineering MA
Data Engineering MA
Digital Health MA
  • Health Systems and Sciences for Digital Health
  • Software Architectures for Digital Health
  • SCAD-Concepts and Methods
  • SCAD-Technologies and Tools
  • SCAD-Specialization
  • DICR-Concepts and Methods
  • DICR-Technologies and Tools
  • DICR-Specialization
  • APAD-Concepts and Methods
  • APAD-Technologies and Tools
  • APAD-Specialization
  • HDAS-Concepts and Methods
  • HDAS-Technologies and Methods
  • HDAS-Specialization

Description

Information integration is the merging of heterogeneous information from various data sources to a homogenous, clean dataset. This lecture introduces this ever-important topic. It will cover the basic technologies, such as distributed database architectures, techniques for virtual and materialized integration, and data cleansing technologies.

Requirements

Basic knowledge in the area of database management (DBS I).

Literature

- Ulf Leser and Felix Naumann: Informationsintegration, dpunkt Verlag, 2006.
  This book is available at the UP library, as a free download from dpunkt and also, e.g., from Amazon.de.

- Doan, Halevy, and Ives: Principles of data integration, Morgan Kaufmann, 2012.

- Özsu and Valduriez: Principles of distributed database systems, Springer, 2011.

- Stefan Conrad: Föderierte Datenbanksysteme, Springer, 1997.

Throughout the lecture we will refer to various scientific papers, that serve as in-depth references.

Learning

Lecture with exercises

Examination

An data integration project will be happening throughout the semester. Successfull completion of these project task is necessary to be admitted to the written exam, which will take place end of semester.

Dates

Please see website

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