Hasso-Plattner-Institut25 Jahre HPI
Hasso-Plattner-Institut25 Jahre HPI
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Informationsintegration (Sommersemester 2022)

Dozent: Prof. Dr. Felix Naumann (Information Systems) , Tobias Bleifuß (Information Systems)
Website zum Kurs: https://hpi.de/naumann/teaching/current-courses/ss-22/information-integration.html

Allgemeine Information

  • Semesterwochenstunden: 4
  • ECTS: 6
  • Benotet: Ja
  • Einschreibefrist: 01.04.2022 - 30.04.2022
  • Prüfungszeitpunkt §9 (4) BAMA-O: 01.08.2022
  • Lehrform: Vorlesung
  • Belegungsart: Wahlpflichtmodul
  • Lehrsprache: Deutsch

Studiengänge, Modulgruppen & Module

IT-Systems Engineering MA
Data Engineering MA
  • PREP: Data Preparation
    • HPI-PREP-K Konzepte und Methoden
  • PREP: Data Preparation
    • HPI-PREP-T Techniken und Werkzeuge
  • PREP: Data Preparation
    • HPI-PREP-S Spezialisierung
  • CODS: Complex Data Systems
    • HPI-CODS-K Konzepte und Methoden
  • CODS: Complex Data Systems
    • HPI-CODS-T Techniken und Werkzeuge
  • CODS: Complex Data Systems
    • HPI-CODS-S Spezialisierung
Digital Health MA
Cybersecurity MA

Beschreibung

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.

Voraussetzungen

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

Literatur

  • 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.

Lern- und Lehrformen

Lecture with exercises. The lecture can be held in English or German, depending on attendance.

Leistungserfassung

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

Termine

Please see website.

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