Results 1 to 10 of about 23,631,400 (298)
Goal oriented requirements engineering in data warehouses: A comparative study
Ingeniería e Investigación, 2014 Data warehouses provide historical information about the organization that needs to be analyzed by the decision makers; therefore, it is essential to develop them in the context of a strategic business plan.
Ania Cravero Leal +4 more
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Data Science Driven Analysis of the Impact of COVID-19 [PDF]
Database Systems JournalIn the context of a pandemic that emerged with lightning speed, data science has become a cornerstone for governments decision-making processes. By analyzing numerous centralized databases, researchers have been able to identify trends, the spread of the
Serban Gabriel TIMOFTE +4 more
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SemanticQuark: A Python-Native Framework for Unified Semantic Analytics
IEEE AccessModern analytics environments suffer from persistent metric inconsistency: dashboards, notebooks, and reporting pipelines independently reconstruct business metric definitions, yielding conflicting results that erode trust in data-driven decisions ...
Vipin Kataria, Nitin Kumar
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LOD for Data Warehouses: Managing the Ecosystem Co-Evolution
Information, 2018 For more than 30 years, data warehouses (DWs) have attracted particular interest both in practice and in research. This success is explained by their ability to adapt to their evolving environment.
Selma Khouri, Ladjel Bellatreche
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The development and use of data warehousing in clinical settings: a scoping review
Frontiers in Digital HealthIntroductionThe emergence of data warehousing in clinical settings has greatly enhanced data analysis capabilities, facilitating the accurate and comprehensive extraction of valuable information.
Shiyang Lyu +5 more
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Jurnal Teknologi Informatika & KomputerThe rapid development of Artificial Intelligence (AI)-based systems has increased demand for integrated data architectures that support operational, analytical, and semantic data management.
Kodrat Mahatma +2 more
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Harvesting Information from a Library Data Warehouse
Information Technology and Libraries, 2017 Data warehousing technology has been defined by John Ladley as "a set of methods, techniques, and tools that are leveraged together and used to produce a vehicle that delivers data to end users on an integrated platform." (1) This concept h s been ...
Siew-Phek T. Su, Ashwin Needamangala
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Revista Ingenierías Universidad de Medellín, 2010 Hoy, gracias a los sistemas de posicionamiento global y dispositivos móviles equipados con sensores de rastreo, se puede recopilar una gran cantidad de datos sobre objetos móviles, es decir, datos espacio-temporales relacionados con el movimiento seguido
Francisco Moreno +2 more
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A novel approach for intelligent distribution of data warehouses
Egyptian Informatics Journal, 2016 With the continuous growth in the amount of data, data storage systems have come a long way from flat files systems to RDBMS, Data Warehousing (DW) and Distributed Data Warehousing systems. This paper proposes a new distributed data warehouse model.
Abhay Kumar Agarwal, Neelendra Badal
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A DYNAMIC INDEXING SCHEME FOR MULTIDIMENSIONAL DATA
Современные информационные технологии и IT-образование, 2018 We present a new dynamic index structure for multidimensional data. The considered index structure is based on an extended grid file concept. Strengths and weaknesses of the grid files were analyzed.
Manuk G. Manukyan, Grigor R. Gevorgyan
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