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Orientador(es)
Resumo(s)
The main objective of this report is to outline the project carried out at Neyond, where the
main goal was developing an automated E.T.L. reporting process for an international bank,
one of the clients.
This project played a crucial role in solidifying the knowledge gained and implementing the
diverse techniques learned throughout the initial academic year. It also provided an
opportunity to merge academic training with practical professional experience. This report
provides an overview of the project’s goals, methodologies, tools, technologies used, and
the challenges encountered during its execution.
To accomplish this objective, this report describes the project and the main goals to achieve
the desired result, the tools and technologies used, as well as some of the challenges and
how they were surpassed.
Descrição
Project Work presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
Palavras-chave
Big Data Data Engineer Bank Service Provider Data Analysis Process Profitability Risk SDG 9 - Industry, innovation and infrastructure
