Logo of Humboldt-Universität zu BerlinLogo of Humboldt-Universität zu Berlin
edoc-Server
Open-Access-Publikationsserver der Humboldt-Universität
de|en
Header image: facade of Humboldt-Universität zu Berlin
View Item 
  • edoc-Server Home
  • Artikel und Monographien
  • Zweitveröffentlichungen
  • View Item
  • edoc-Server Home
  • Artikel und Monographien
  • Zweitveröffentlichungen
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.
All of edoc-ServerCommunity & CollectionTitleAuthorSubjectThis CollectionTitleAuthorSubject
PublishLoginRegisterHelp
StatisticsView Usage Statistics
All of edoc-ServerCommunity & CollectionTitleAuthorSubjectThis CollectionTitleAuthorSubject
PublishLoginRegisterHelp
StatisticsView Usage Statistics
View Item 
  • edoc-Server Home
  • Artikel und Monographien
  • Zweitveröffentlichungen
  • View Item
  • edoc-Server Home
  • Artikel und Monographien
  • Zweitveröffentlichungen
  • View Item
2004-11-01Konferenzveröffentlichung DOI: 10.18452/9203
Information Quality
How Good are Off-the-Shelf DBMS?
Naumann, Felix
Roth, Mary
Mathematisch-Naturwissenschaftliche Fakultät II
Commercial database management systems (DBMS) have come a long way with respect to efficiency and more recently, with respect to quality and user friendliness. Not only do they provide an efficient means to store large amounts of data and intuitive query languages to access the data; popular DBMS also provide a whole suite of tools to assess, store, manage, clean, and retrieve data in a user-friendly way. Some of these feature address database experts, others are targeted at end-users with little or even no database knowledge. The recent developments in the field of autonomic computing drive the ease-of-use even further. In this report we study how well a typical DBMS meets the goal of providing a high-quality data storage and retrieval facility. To this end, we draw on an established set of information quality criteria and assess how well an exemplary DBMS fares. While quality criteria are usually defined for a set of data, we extend, wherever possible, the definitions to the systems that manage this data.
Files in this item
Thumbnail
22VXymJgEgT8g.pdf — Adobe PDF — 329.7 Kb
MD5: a331dac4915c9d6e7191467dd045251c
Cite
BibTeX
EndNote
RIS
InCopyright
Details
DINI-Zertifikat 2019OpenAIRE validatedORCID Consortium
Imprint Policy Contact Data Privacy Statement
A service of University Library and Computer and Media Service
© Humboldt-Universität zu Berlin
 
DOI
10.18452/9203
Permanent URL
https://doi.org/10.18452/9203
HTML
<a href="https://doi.org/10.18452/9203">https://doi.org/10.18452/9203</a>