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  1. Proceedings of the ACM twelfth international workshop on Data warehousing and OLAP (DOLAP '09)
  2. Automatic generation of ETL processes from conceptual models
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Discovering functional dependencies for multidimensional design
A taxonomy of ETL activities
pygrametl: a powerful programming framework for extract-transform-load programmers
Consistency-aware evaluation of OLAP queries in replicated data warehouses
Dimension table driven approach to referential partition relational data warehouses
Automatic generation of ETL processes from conceptual models
Cardinality estimation in ETL processes
Query recommendations for OLAP discovery driven analysis
A comprehensive approach to data warehouse testing
Defining ETL worfklows using BPMN and BPEL
Generating data quality rules and integration into ETL process
LMDQL: link-based and multidimensional query language
View usability and safety for the answering of top-k queries via materialized views

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Automatic generation of ETL processes from conceptual models

Content Provider ACM Digital Library
Author Trujillo, Juan Mazón, Jose-Norberto Muñoz, Lilia
Abstract Data warehouses (DW) integrate different data sources in order to give a multidimensional view of them to the decision-maker. To this aim, the ETL (Extraction, Transformation and Load) processes are responsible for extracting data from heterogeneous operational data sources, their transformation (conversion, cleaning, standardization, etc.), and its load in the DW. In recent years, several conceptual modeling approaches have been proposed for designing ETL processes. Although these approaches are very useful for documenting ETL processes and supporting the designer tasks, these proposals fail to give mechanisms to carry out an automatic code generation stage. Such a stage should be required to both avoid fails and save development time in the implementation of complex ETL process. Therefore, in this paper we define an approach for the automatic code generation of ETL processes. To this aim, we align the modeling of ETL processes in DW with MDA (Model Driven Architecture) by formally defining a set of QVT (Query, View, Transformation) transformations.
Starting Page 33
Ending Page 40
Page Count 8
File Format PDF
ISBN 9781605588018
DOI 10.1145/1651291.1651298
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-11-06
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Etl processes Data warehouses Mda Qvt
Content Type Text
Resource Type Article
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