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A No-Code Interface for Data Extraction from Heterogeneous Data Sources

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Detalhes bibliográficos
Resumo:Skills Workflow is a company that sells a platform enabling companies to build custom micro-applications. These are calledworkspaces and are built using a set of widgets (charts, tables, calendars, kanbans, Gantts, among others). Additionally, SkillsWorkflow, provides a marketplace of pre-built micro-applications for various domains, like outsourcing, marketing, project management, and more. But, even with all the workspaces provided, customers usually need specific solutions that are not available in the marketplace. Ideally, customers lacking programming skills should have the capability to extract information into their own workspaces. Often, this information originates from heterogeneous data sources. This thesis presents a no-code interface that enables other users to supply the data utilized by customers in constructing their workspaces. This interface relies on a set of features (back-end) that can perform the extraction efficiently and with effectiveness - at high speed and in a scalable way. The solution comprises an interface with different boxes that can be dragged, dropped, and interconnected. Each box opens a specific component, which can be easily configured to extract, aggregate, filter, or store data. There is also the possibility of defining a recurring execution schedule. The interface is complemented by a set of services that compile and execute the tasks defined by the user.
Autores principais:Andersen, Martim Bixirão Ferreira
Assunto:No-code Low-code Data extraction Heterogeneous data sources
Ano:2023
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL
Descrição
Resumo:Skills Workflow is a company that sells a platform enabling companies to build custom micro-applications. These are calledworkspaces and are built using a set of widgets (charts, tables, calendars, kanbans, Gantts, among others). Additionally, SkillsWorkflow, provides a marketplace of pre-built micro-applications for various domains, like outsourcing, marketing, project management, and more. But, even with all the workspaces provided, customers usually need specific solutions that are not available in the marketplace. Ideally, customers lacking programming skills should have the capability to extract information into their own workspaces. Often, this information originates from heterogeneous data sources. This thesis presents a no-code interface that enables other users to supply the data utilized by customers in constructing their workspaces. This interface relies on a set of features (back-end) that can perform the extraction efficiently and with effectiveness - at high speed and in a scalable way. The solution comprises an interface with different boxes that can be dragged, dropped, and interconnected. Each box opens a specific component, which can be easily configured to extract, aggregate, filter, or store data. There is also the possibility of defining a recurring execution schedule. The interface is complemented by a set of services that compile and execute the tasks defined by the user.

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