Informationsintegration (Sommersemester 2022)
Lecturer:
Prof. Dr. Felix Naumann
(Information Systems)
,
Tobias Bleifuß
(Information Systems)
Course Website:
https://hpi.de/en/naumann/teaching/current-courses/ss-22/information-integration.html
General Information
- Weekly Hours: 4
- Credits: 6
- Graded:
yes
- Enrolment Deadline: 01.04.2022 - 30.04.2022
- Examination time §9 (4) BAMA-O: 01.08.2022
- Teaching Form: Lecture
- Enrolment Type: Compulsory Elective Module
- Course Language: German
Programs, Module Groups & Modules
- IT-Systems Engineering
- IT-Systems Engineering
- OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-K Konzepte und Methoden
- OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-T Techniken und Werkzeuge
- 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
- APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-C Concepts and Methods
- APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-T Technologies and Tools
- APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-S Specialization
- SECA: Security Analytics
- HPI-SECA-K Konzepte und Methoden
- SECA: Security Analytics
- HPI-SECA-T Techniken und Werkzeuge
- SECA: Security Analytics
- HPI-SECA-S Spezialisierung
- CYAD: Cyber Attack and Defense
- HPI-CYAD-K Konzepte und Methoden
- CYAD: Cyber Attack and Defense
- HPI-CYAD-T Techniken und Werkzeuge
- CYAD: Cyber Attack and Defense
- HPI-CYAD-S Spezialisierung
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. The lecture can be held in English or German, depending on attendance.
Examination
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.
Dates
Please see website.
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