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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 ...
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, ...
Legislative linked open data: A proposal of linked open data modelling for legislative informationModelo de dados abertos conectados para informaÇÃo legislativa
(2018-05-01)
This research aimed to create a linked open data (LOD) model using RDF (Resource Description Framework) for a legislative dataset from the House of Representatives. It has proceeded a literature review embracing the concepts ...
LEGISLATIVE LINKED OPEN DATA: a proposal of linked open data modelling for legislative information
(Univ Federal Campina Grande, 2018-05-01)
This research aimed to create a linked open data (LOD) model using RDF (Resource Description Framework) for a legislative dataset from the House of Representatives. It has proceeded a literature review embracing the concepts ...
Measures for ETL processes models in data warehouses
(11/06/2009)
processes take charge of extracting the data from data sources that would be contained in the data warehouse. Due to their relevance, the quality of these processes should be formally assessed since the early stages of ...
A family of experiments to validate measures for UML activity diagrams of ETL processes in data warehouses
(11/01/2010)
In data warehousing, Extract, Transform, and Load (ETL) processes are in charge of extracting the data from the data sources that will be contained in the data warehouse. Their design and maintenance is thus a cornerstone ...
A dynamic data-driven method for dealing with model structural error in soil moisture data assimilation
(Elsevier, 2019-10)
Attributing to the flexibility in considering various types of observation error and model error, data assimilation has been increasingly applied to dynamically improve soil moisture modeling in many hydrological practices. ...