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Systematic review and comparison of modeling ETL processes in data warehouse
(08/23/2010)
Abstract:
In a Data Warehouse (DW), ETL processes (Extraction, Transformation, Load) are responsible for extracting, transforming and loading data from the data sources into the DW. A good design of these processes in the ...
Big Data and the challenges it poses to Abuse of Dominant PositionBig Data y los desafíos que plantea al Abuso de Posición de Dominio
(Revista de Actualidad Mercantil, 2020)
Data handling in data fusion: Methodologies and applications
(Elsevier, 2021-10)
The use of data fusion methodologies has increased at the same rhythm as the capability of modern analytical laboratories of measuring sample from multiple sources. Almost all data fusion strategies can be grouped into ...
ETL Process Modeling Conceptual for Data Warehouses: A Systematic Mapping Study
(06/16/2011)
BACKGROUND: A data warehouse (DW) is an integrated collection of subject-oriented data in the support of decision making. Importantly, the integration of data sources is achieved through the use of ETL (Extract, Transform, ...
From Data Islands to Sharing Data in the Cloud: the Evolution of Data Integration in Biological Data Repositories
(Universidade Federal de Santa Maria, 2016)
Tratamiento de datos personales y acceso a la información. Visiones a partir de la academiaAccess to information and processing of personal data. Visions from the academy
(Universidad Politécnica Salesiana (Ecuador), 2021)
Tratamiento de datos personales y acceso a la información. Visiones a partir de la academiaAccess to information and processing of personal data. Visions from the academy
(Universidad Politécnica Salesiana (Ecuador), 2021)
Between data capitalism and data citizenship
(SAGE Journals, 2019-03)
We discuss two points raised by the articles in this issue which are related to our previous work on media movements in Latin America (Segura & Waisbord 2016). First, we analyze the dimensions of data activism in the region. ...
Data Interoperability Between Elements of the Global Ocean Observing System
(Frontiers Media S.A., 2019-07)
The data management landscape associated with the Global Ocean Observing System is distributed, complex, and only loosely coordinated. Yet interoperability across this distributed landscape is essential to enable data to ...