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, Module Groups & Modules
- OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-K Konzepte und Methoden
- OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-S Spezialisierung
- OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-T Techniken und Werkzeuge
- IT-Systems Engineering
- IT-Systems Engineering
- IT-Systems Engineering
- IT-Systems Engineering
- 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
- Digital Health
- HPI-DH-HS Health Systems and Sciences for Digital Health
- Digital Health
- HPI-DH-SW Software Architectures for Digital Health
- SCAD: Scalable Computing and Algorithms for Digital Health
- HPI-SCAD-C Concepts and Methods
- SCAD: Scalable Computing and Algorithms for Digital Health
- HPI-SCAD-T Technologies and Tools
- SCAD: Scalable Computing and Algorithms for Digital Health
- HPI-SCAD-S Specialization
- DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-C Concepts and Methods
- DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-T Technologies and Tools
- DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-S Specialization
- 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
- HDAS: Health Data Security
- HPI-HDAS-C Concepts and Methods
- HDAS: Health Data Security
- HPI-HDAS-T Technologies and Methods
- HDAS: Health Data Security
- HPI-HDAS-S 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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