GOAL-ONTOLOGY ETL PROCESSES SPECIFICATION

Ontology-Driven Conceptual Design of ETL Processes Using Graph Transformations

One of the main tasks during the early steps of a data warehouse project is the identification of the appropriate transformations and the specification of inter-schema mappings from the source to the target data stores. This is a challenging task, requiring firstly the semantic and secondly the structural reconciliation of the information provided by the available sources. This task is a part o...

Merging ETL Processes

Managing ETL Processes

ETL tools allow the definition of sometimes complex processes to extract, transform, and load heterogeneous data into a data warehouse or to perform other data migration tasks. In larger organizations many ETL processes of different data integration projects are accumulated. Such processes can encompass common sub-processes, shared data sources and targets, and same or similar operations. Howev...

Quality Measures for ETL Processes

ETL processes play an increasingly important role for the support of modern business operations. These business processes are centred around artifacts with high variability and diverse lifecycles, which correspond to key business entities. The apparent complexity of these activities has been examined through the prism of Business Process Management, mainly focusing on functional requirements an...

Modeling and managing ETL processes

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. The design, development and deployment of ETL processes, which is currently, performed in an ad-hoc, in house fashion, needs modeling, design and methodological foundations. Unfortunately, the resear...