Economic Commission for Africa Knowledge Repository (Economic Commission for Africa) · 2011
The prime objective of data integration is to achieve a coherent and well coordinated system of official statistics. A second objective is to optimize the use of limited resources while at the same time minimizing statistical discrepancies and improving the reliability of data through more consistency checks which are made possible by integration. Integration, as a concept, arises from the fact that organizations have what are called the vertical dimension and the horizontal dimension. The vertical dimension refers to the hierarchy of the various organizational units (divisions, branches, etc.) and how they relate to each other with respect to their functions and activities.
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Steven Barlow · 2000
The growing use of computer networks has lead to more complex and dispersed data sources. Where once a single database system provided the information needs of an organisation, today collections of several different types of systems are being used. In order to still provide consistent and effective use of the information contained in these varied sources, some sort of higher abstraction is needed. This abstraction is provided by data integration systems which can unify the logical data models of various sources and provide query processing across all of these sources simultaneously. We describe the attributes that a data integration system must have, and then present three example data integration projects.
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Claude Sammut, Geoffrey I. Webb · Encyclopedia of Machine Learning and Data Mining · 2017
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Encyclopedia of Geographic Information Science · 2008
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Paolo Papotti, Donatello Santoro · Encyclopedia of Big Data Technologies · 2018
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Dick Schefström · 1993
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Di Wu · 2024
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Nagarajan, Meenakshi · Journal of Bioresource Management · 2007
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Alkema, Dinand, Bijker, Wietske, Sharifi, Ali et al. · Data Archiving and Networked Services (DANS) · 2012
Processes on the planet Earth are complex phenomena that are taking place in space and in time, i.e. in four dimensions. In many of these processes, differences in one dimension (e.g. height above the geoid) can be disregarded, so that two spatial dimensions and the dimension time remain. Despite this simplification, the physical description of the phenomena remains a difficult task. To better understand the processes it often helps if the same geographic region is viewed repeatedly and, if possible, also from different directions and in different wavelength regions. Integration of data from a variety of sources can be a means to retrieving information about processes that would otherwise remain undetected.
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Paolo Papotti, Donatello Santoro · Encyclopedia of Big Data Technologies · 2022
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Peter Bajcsy · 2005
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D. Alkema, Wietske; id_orcid 0000-0002-4197-0295 Bijker, Ali Sharifi et al. · University of Twente Research Information · 2012
Processes on the planet Earth are complex phenomena that are taking place in space and in time, i.e. in four dimensions. In many of these processes, differences in one dimension (e.g. height above the geoid) can be disregarded, so that two spatial dimensions and the dimension time remain. Despite this simplification, the physical description of the phenomena remains a difficult task. To better understand the processes it often helps if the same geographic region is viewed repeatedly and, if possible, also from different directions and in different wavelength regions. Integration of data from a variety of sources can be a means to retrieving information about processes that would otherwise remain undetected.
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Giulia Catissi · OSF Preprints (OSF Preprints) · 2025
The ETL (Extract, Transform, Load) methodology, using the KNIME tool, will be employed to compile and integrate information from the aforementioned databases. This methodology enables the extraction of data from multiple sources, its transformation for adaptation and standardization according to the research scope, and the loading of these data into a centralized repository for subsequent analyses. The KNIME platform was chosen for its robustness and flexibility in data processing and manipulation, eliminating the need for a specialized expert for navigation. Additionally, it allows the integration of large volumes of data in a visual and automated manner. Through KNIME, the extraction, transformation, and loading stages can be executed systematically and at scale, ensuring the quality and consistency of the data used in the study's statistical and geospatial analyses. The use of KNIME and the ETL methodology facilitates the handling of climatic, environmental, and socioeconomic data from various sources, enabling a more integrated and comprehensive analysis of the associations between these factors and health outcomes in Alzheimer's Disease.
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Ismael Navas‐Delgado, José F. Aldana‐Montes · IGI Global eBooks · 2009
The growth of the Internet has simplified data access, which has involved an increment in the creation of new data sources. Despite this increment, in most cases, these large data repositories are accessed manually. This problem is aggravated by the heterogeneous nature and extreme volatility of the information on the Web. This heterogeneity includes three types: intentional (differences in the contents), semantic (differences in the interpretation), and schematic (data types, labeling, structures, etc.). Thus, the increase of the available information and the complexity of dealing with this amount of information have involved a considerable amount of research into the subject of heterogeneous data integration. The database community, one of the most important groups dealing with data heterogeneity and dispersion, has provided a wide range of solutions to this problem. However, this issue has also been addressed and solutions have been offered by the information retrieval and knowledge representation communities, making this area a connection point between the three communities.
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Nagarajan, Meenakshi · Journal of Bioresource Management · 2007
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Gerd Höfner · 1993
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D. Alkema, Wietske; id_orcid 0000-0002-4197-0295 Bijker, Ali Sharifi et al. · University of Twente Research Information · 2012
Processes on the planet Earth are complex phenomena that are taking place in space and in time, i.e. in four dimensions. In many of these processes, differences in one dimension (e.g. height above the geoid) can be disregarded, so that two spatial dimensions and the dimension time remain. Despite this simplification, the physical description of the phenomena remains a difficult task. To better understand the processes it often helps if the same geographic region is viewed repeatedly and, if possible, also from different directions and in different wavelength regions. Integration of data from a variety of sources can be a means to retrieving information about processes that would otherwise remain undetected.
Cited by 0Open access
Alkema, Dinand, Bijker, Wietske; id_orcid 0000-0002-4197-0295, Sharifi, Ali et al. · University of Twente Research Information · 2012
Processes on the planet Earth are complex phenomena that are taking place in space and in time, i.e. in four dimensions. In many of these processes, differences in one dimension (e.g. height above the geoid) can be disregarded, so that two spatial dimensions and the dimension time remain. Despite this simplification, the physical description of the phenomena remains a difficult task. To better understand the processes it often helps if the same geographic region is viewed repeatedly and, if possible, also from different directions and in different wavelength regions. Integration of data from a variety of sources can be a means to retrieving information about processes that would otherwise remain undetected.
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Jen Steen · Zenodo (CERN European Organization for Nuclear Research) · 2024
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Alkema, Dinand, Bijker, Wietske, Sharifi, Ali et al. · University of Twente Research Information · 2012
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