dc.contributor.author |
Vassiliadis, P |
en |
dc.contributor.author |
Vagena, Z |
en |
dc.contributor.author |
Skiadopoulos, S |
en |
dc.contributor.author |
Karayannidis, N |
en |
dc.contributor.author |
Sellis, T |
en |
dc.date.accessioned |
2014-03-01T01:16:10Z |
|
dc.date.available |
2014-03-01T01:16:10Z |
|
dc.date.issued |
2001 |
en |
dc.identifier.issn |
0306-4379 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/13960 |
|
dc.subject |
Data quality |
en |
dc.subject |
Data warehousing |
en |
dc.subject |
Extraction-transformation-loading tools |
en |
dc.subject.classification |
Computer Science, Information Systems |
en |
dc.subject.other |
Computational complexity |
en |
dc.subject.other |
Computer aided analysis |
en |
dc.subject.other |
Data mining |
en |
dc.subject.other |
Data structures |
en |
dc.subject.other |
Data warehouses |
en |
dc.subject.other |
Management information systems |
en |
dc.subject.other |
Software prototyping |
en |
dc.subject.other |
Data quality |
en |
dc.subject.other |
Extraction-transformation-loading tools |
en |
dc.subject.other |
Quality management |
en |
dc.subject.other |
Software Package Arktos |
en |
dc.subject.other |
Information analysis |
en |
dc.title |
ARKTOS: Towards the modeling, design, control and execution of ETL processes |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1016/S0306-4379(01)00039-4 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1016/S0306-4379(01)00039-4 |
en |
heal.language |
English |
en |
heal.publicationDate |
2001 |
en |
heal.abstract |
Extraction-Transformation-loading (ETL) tools are pieces of software responsible for the extraction of data from several sources, their cleansing, customization and insertion into a data warehouse. Literature and personal experience have guided us to conclude that the problems concerning the ETL tools are primarily problems of complexity, usability and price. To deal with these problems we provide a uniform metamodel for ETL processes, covering the aspects of data warehouse architecture, activity modeling, contingency treatment and quality management. The ETL tool we have developed, namely ARKTOS, is capable of modeling and executing practical ETL scenarios by providing explicit primitives for the capturing of common tasks. ARKTOS provides three ways to describe an ETL scenario: a graphical point-and-click front end and two declarative languages: XADL (an XML variant), which is more verbose and easy to read and SADL (an SQL-like language) which has a quite compact syntax and is, thus, easier for authoring. (C) 2001 Elsevier Science Ltd. All rights reserved. |
en |
heal.publisher |
PERGAMON-ELSEVIER SCIENCE LTD |
en |
heal.journalName |
Information Systems |
en |
dc.identifier.doi |
10.1016/S0306-4379(01)00039-4 |
en |
dc.identifier.isi |
ISI:000172158400002 |
en |
dc.identifier.volume |
26 |
en |
dc.identifier.issue |
8 |
en |
dc.identifier.spage |
537 |
en |
dc.identifier.epage |
561 |
en |