| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| DM_Ana Henriques_MEI_2023 | 1.59 MB | Adobe PDF |
Authors
Abstract(s)
O aumento constante da quantidade e diversidade de dados com que as organizações têm de lidar intensifica a importância e os desafios associados à gestão de dados. A transformação digital altera o comportamento dos utilizadores e impõe vários desafios às organizações que necessitam de recolher e utilizar dados mais diversificados para melhorar os serviços digitais, impulsionar a tomada de decisões e estimular a inovação. Com o aparecimento de novas abordagens para armazenar e explorar os dados, como Data Lake ou Data Lakehouse, os requisitos associados à construção e manutenção do catálogo de dados evoluíram e representam uma oportunidade para que as organizações possam desenvolver os seus processos de tomada de decisão. Assim, saber onde os dados estão armazenados e como podem ser utilizados melhora a capacidade de resposta às mudanças do negócio de forma a serem tomadas decisões mais sustentadas. Neste contexto, a utilização de catálogos de dados assume um papel cada vez mais relevante, já que são utilizados como uma ferramenta para encontrar, compreender e contextualizar os dados. Este trabalho explora a utilização de um catálogo de dados para apoiar a construção, validação e manutenção de dashboards no contexto de sistema de Business Intelligence
Abstract The importance and challenges associated with data management become more significant as a result of the continuous increase in the quantity and variety of data that organizations must manage. Digital transformation changes user behavior and presents several challenges to organizations that need to collect and use more diverse data to improve digital services, boost decision-making, and stimulate innovation. With the emergence of new approaches to storing and exploring data, such as Data Lake or Data Lakehouse, the requirements associated with building and maintaining the data catalogue have evolved and represent an opportunity for organizations to develop their decision-making processes. Therefore, knowing where data is stored and how it can be used improves the ability to respond to business changes so that more sustained decisions can be made. In this context, the use of data catalogues assumes an increasingly relevant role, as they are used as a tool to find, understand, and contextualize data. This work explores the use of a data catalogue to support the construction, validation, and maintenance of dashboards in the context of a Business Intelligence System.
Abstract The importance and challenges associated with data management become more significant as a result of the continuous increase in the quantity and variety of data that organizations must manage. Digital transformation changes user behavior and presents several challenges to organizations that need to collect and use more diverse data to improve digital services, boost decision-making, and stimulate innovation. With the emergence of new approaches to storing and exploring data, such as Data Lake or Data Lakehouse, the requirements associated with building and maintaining the data catalogue have evolved and represent an opportunity for organizations to develop their decision-making processes. Therefore, knowing where data is stored and how it can be used improves the ability to respond to business changes so that more sustained decisions can be made. In this context, the use of data catalogues assumes an increasingly relevant role, as they are used as a tool to find, understand, and contextualize data. This work explores the use of a data catalogue to support the construction, validation, and maintenance of dashboards in the context of a Business Intelligence System.
Description
Keywords
Catálogo de Dados Business Intelligence Dashboards Camada Semântica Sistemas Analíticos Data Lake