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Relevant bibliographies by topics / Virtual datastore

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Journal articles
Dissertations / Theses
Conference papers

Academic literature on the topic 'Virtual datastore'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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Journal articles on the topic "Virtual datastore"

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Siregar, Maulana Bobby Rakhman, and Rizal Fathoni Aji. "Design of GeoAi-Based Control Tower Dashboard Application Infrastructure at PT. XYZ." SISTEMASI 13, no. 1 (2024): 185. http://dx.doi.org/10.32520/stmsi.v13i1.3466.

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The increasing demand for technology and data necessitates the enhancement of infrastructure for the Control Tower Dashboard Geographic Information System (CTD GIS) application at PT XYZ. The current system operates within a Virtual Private Server (VPS) Cloud environment but faces challenges such as data loading delays and increasing demands for broader functionalities. To address these issues, a comprehensive future infrastructure recommendation is outlined, including upgrading ArcGIS Server, integrating with Portal for ArcGIS, implementing ArcGIS Datastore, utilizing NAS Storage, and incorpo

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El Morr, Christo, Pierre Maret, Fabrice Muhlenbach, et al. "A Virtual Community for Disability Advocacy: Development of a Searchable Artificial Intelligence–Supported Platform." JMIR Formative Research 5, no. 11 (2021): e33335. http://dx.doi.org/10.2196/33335.

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Background The lack of availability of disability data has been identified as a major challenge hindering continuous disability equity monitoring. It is important to develop a platform that enables searching for disability data to expose systemic discrimination and social exclusion, which increase vulnerability to inequitable social conditions. Objective Our project aims to create an accessible and multilingual pilot disability website that structures and integrates data about people with disabilities and provides data for national and international disability advocacy communities. The platfor

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Varanka, Dalia E. "A Prototype Geospatial Knowledge Graph for National Topographic Mapping." Abstracts of the ICA 2 (October 9, 2020): 1. http://dx.doi.org/10.5194/ica-abs-2-40-2020.

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Abstract. Knowledge graphs (KG) are a virtual layer connecting disparate databases into an interoperable framework. Though the application of KGs for enterprises are increasing, geospatial KG design is not common. This presentation describes U.S. Geological Survey (USGS) research to build KGs for integrating geospatial and non-spatial attribute semantics of topographic data. Those geographic information system databases are composed of various feature types and metadata attributes organized various themes and stored in different data formats, such as geodatabases, flat-file spreadsheets, and r

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Colafranceschi, Stefano, and Emanuele De Biase. "The Case for a Cost-Effective General-Purpose Computer Cluster for Small Colleges." International Journal of Emerging Technologies in Learning (iJET) 16, no. 04 (2021): 4. http://dx.doi.org/10.3991/ijet.v16i04.18837.

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The computational capabilities of commercial CPUs and GPUs reached a plateau but soft-ware applications are usually memory-intense tasks and they commonly need/utilize most recent hardware developments. Computer clusters are an expensive solution, although reliable and versatile, with a limited market share for small colleges. Small schools would typically rely on cloud-based systems because they are more afford-able (less expensive), manageable (no need to worry about the maintenance), and easier to implement (the burden is shifted into the datacenter). Here we provide arguments in favo

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Sheail, Philippa. "‘Real Challenges in a Virtual World’ or ‘Can I get full text from ERIC and what on earth is Dialog Datastar?’." Serials: The Journal for the Serials Community 23, no. 2 (2010): 103–8. http://dx.doi.org/10.1629/23103.

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Singamaneni, Kranthi Kumar, Ali Nauman, Sapna Juneja, et al. "An Efficient Hybrid QHCP-ABE Model to Improve Cloud Data Integrity and Confidentiality." Electronics 11, no. 21 (2022): 3510. http://dx.doi.org/10.3390/electronics11213510.

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Cloud computational service is one of the renowned services utilized by employees, employers, and organizations collaboratively. It is accountable for data management and processing through virtual machines and is independent of end users’ system configurations. The usage of cloud systems is very simple and easy to organize. They can easily be integrated into various storages of the cloud and incorporated into almost all available software tools such as Hadoop, Informatica, DataStage, and OBIEE for the purpose of Extraction-Transform-Load (ETL), data processing, data reporting, and other relat

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Dissertations / Theses on the topic "Virtual datastore"

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Kudrenko, S., and Y. Pushkin. "Model and scheme for organizing data warehouses." Thesis, National aviation university, 2021. https://er.nau.edu.ua/handle/NAU/50653.

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In traditional architecture, there are three general data warehouse models: virtual warehouse, data mart, and enterprise data warehouse: A virtual datastore is a collection of separate databases that can be shared so that a user can efficiently access all of the data as if it were stored in a single datastore;

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Conference papers on the topic "Virtual datastore"

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Colombo, Pietro, and Elena Ferrari. "Towards Virtual Private NoSQL datastores." In 2016 IEEE 32nd International Conference on Data Engineering (ICDE). IEEE, 2016. http://dx.doi.org/10.1109/icde.2016.7498240.

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