Results 31 to 40 of about 845,355 (357)
Implementation of an agile methodology for data warehouse at the BCP
Interfases, 2017 Nowadays, companies need to make faster decisions, with the support of information technology. Thepresent project, which was applied in the BCP approximately two years ago, consisted in the evaluation and implementation of an agile methodological ...
Tania Marino-Jiménez
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Data Warehouse Hybrid Modeling Methodology
Data Science Journal, 2020 The classic conceptual modeling around business processes followed by the ‘bus matrix’ methodology of designing the data cubes of data warehouses (Kimball & Ross 2013). For a serious system, such a quantity of management questions and dimensions, the bus
Viktor László Takács +4 more
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An Improved two-layer Model in the Logical Level Data Warehouse Designing [PDF]
مجله مدل سازی در مهندسی, 2018 Data warehouses are centralized repositories collected from various heterogeneous sources in a wide range of time (time-variant) for decision support systems.
Mahya Oroumiyeh, Negin Daneshpour
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Brief Report on the Advanced Use of Prolog for Data Warehouses
Applied Sciences, 2022 Data warehouses have demonstrated their applicability in numerous application fields such as agriculture, the environment and health. This paper proposes a general framework for defining a data warehouse and its aggregations using logic programming.
François Pinet
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A Conceptual Metadata Framework for Spatial Data Warehouse [PDF]
International Journal of Data Mining & Knowledge Management
Process (IJDKP) Vol.3, No.3, May 2013, 2013 Metadata represents the information about data to be stored in Data Warehouses.It is a mandatory element of Data Warehouse to build an efficient Data Warehouse.Metadata helps in data integration,lineage,data quality and populating transformed data into data warehouse.Spatial data warehouses are based on spatial data mostly collected from Geographical ...
arxiv +1 more source
, 2007 In the early stages of a data warehouse project, the designers/administrators have to come up with a decision concerning the design and deployment of the back-stage architecture. The possible options are (a) the usage of a commercial ETL tool, or (b) the development of an in-house ETL prototype. Both cases have advantages and disadvantages. However, in
Simitsis, Alkis +3 more
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Using Fuzzy Linguistic Representations to Provide Explanatory Semantics for Data Warehouses [PDF]
, 2003 A data warehouse integrates large amounts of extracted and summarized data from multiple sources for direct querying and analysis. While it provides decision makers with easy access to such historical and aggregate data, the real meaning of the data has ...
Dillon, Tharam S., Feng, Ling
core +3 more sources
Challenges in public healthcare research data warehouse integration and operationalisation.
International Journal of Population Data Science, 2022 Objectives Public health service organisations use multiple patient administration and electronic health record systems. We describe the implementation of a data warehouse automation tool within the National Centre for Healthy Ageing (NCHA) data ...
Tanya Ravipati +3 more
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Dimensional Data Design for Event Feedback Data Warehouse
JISA (Jurnal Informatika dan Sains), 2023 Data is an important asset and a fundamental requirement for building valuable information for organizations. Association of Information Systems Students of Unsika (Himsika) as a university organization provides many events to develop student’s academic ...
Ahmad Maulana Malik Fattah +2 more
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Spatial Data Warehouse Modelling [PDF]
, 2008 This chapter is concerned with multidimensional data models for spatial data warehouses. Over the last few years different approaches have been proposed in the literature for modelling multidimensional data with geometric extent. Nevertheless, the definition of a comprehensive and formal data model is still a major research issue.
M.L. Damiani, S. Spaccapietra
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