Shellhive: Towards a Collaborative Visual Programming Language for UNIX Workflows

• Autor(a) principal: Omar Alejandro Castillo de Castro
• Data de Publicação: 2014
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: https://hdl.handle.net/10216/75534
• topic: Outras ciências da engenharia e tecnologias; Other engineering and technologies

Big data is a relatively new keyword in the software industry, every day, data is being generated in such a great amount that it becomes difficult to manage using traditional data management tools, motivating the adaptation of traditional programming to use paradigms and architectures that can process large amounts of data. The Unix based operative system provides programming tools that uses said paradigms that focused on the process of large amount of data for a long time. In this thesis, we propose a solution to leverage said unix tools, to empower programmers with little experience in programming with the ability to create big-data related tasks that it's easier to understand and to modify. The application itself allows the user to design workflows collaboratively in order for people who are comfortable in Unix environment to help each other and potentially learn from the more experient users.