ARKTOS: A Tool For Data Cleaning and Transformation in Data Warehouse Environments.

Panos Vassiliadis · Zografoula Vagena · Spiros Skiadopoulos · Nikos Karayannidis

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Data Quality and Management Advanced Database Systems and Queries Big Data and Business Intelligence

Abstract

Extraction-Transformation-Loading (ETL) and Data Cleaning tools are pieces of software responsible for the extraction of data from several sources, their cleaning, customization and insertion into a data warehouse. To deal with the complexity and efficiency of the transformation and cleaning tasks we have developed a tool, namely ARKTOS, capable of modeling and executing practical scenarios, by providing explicit primitives for the capturing of common tasks. ARKTOS provides three ways to describe such a scenario, including 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. 1

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1995A framework for analysis of data quality research 1995Toward quality data: An attribute-based approach 2000AJAX 2000Enterprise information portals 2005An extensible Framework for Data Cleaning 2000Gulliver in the land of data warehousing: practical experiences and observations of a researcher

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