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Implementação de uma solução de Business Intelligence em Cloud - Processos de Extração e Transformação de dados
| Nome: | Descrição: | Tamanho: | Formato: | |
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| 1.21 MB | Adobe PDF |
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Resumo(s)
Num mundo em que as tecnologias estão em constante evolução e os mercados cada vez mais competitivos, as organizações necessitam de estar em constante alerta para compreender as tecnologias de ponta e as ferramentas que ajudarão a superar qualquer competição que surja. Plataformas de dados modernas que incorporam tecnologias de cloud apoiam as organizações a ficar à frente da concorrência, fornecendo soluções que as ajudam a capturar e utilizar dados inexplorados de forma otimizada e armazenamentos escaláveis, para se adaptem a quantidades de dados cada vez maiores. Além disso, adotar ferramentas de processamento e visualização de dados que ajudem a melhorar o processo de tomada de decisão. Com a quantidade de plataformas de cloud disponíveis no mercado, das mais pequenas até às grandes corporações, existe uma vasta oferta com muita flexibilidade para as organizações escolherem qual a melhor tecnologia de cloud que se alinha com os seus casos de uso e estratégia geral de produtos e serviços. Este relatório de estágio está focado no desenvolvimento de uma solução de Business Intelligence em cloud para um cliente que opera no setor da saúde. Para tal, será utilizada a plataforma Microsoft Azure e o Databricks para o desenvolvimento dos processos de extração e transformação de dados.
In a world where technologies are constantly evolving and markets are increasingly competitive, organizations need to be constantly alert to understand cutting-edge technologies and tools that will help them overcome any competition that arises. Modern data platforms that incorporate cloud technologies support organizations in staying ahead of the competition by providing solutions that help them capture and utilize untapped data in an optimized way, and scalable storage to adapt to increasing amounts of data. Additionally, adopting data processing and visualization tools helps improve the decision-making process. With the number of cloud platforms available in the market, from small to large corporations, there is a vast range of flexibility for organizations to choose the best cloud technology that aligns with their use cases and overall product and service strategy. This internship report focuses on the development of a cloud-based Business Intelligence solution for a client operating in the healthcare sector. To this end, the Microsoft Azure platform and Databricks will be used for the development of data extraction and transformation processes.
In a world where technologies are constantly evolving and markets are increasingly competitive, organizations need to be constantly alert to understand cutting-edge technologies and tools that will help them overcome any competition that arises. Modern data platforms that incorporate cloud technologies support organizations in staying ahead of the competition by providing solutions that help them capture and utilize untapped data in an optimized way, and scalable storage to adapt to increasing amounts of data. Additionally, adopting data processing and visualization tools helps improve the decision-making process. With the number of cloud platforms available in the market, from small to large corporations, there is a vast range of flexibility for organizations to choose the best cloud technology that aligns with their use cases and overall product and service strategy. This internship report focuses on the development of a cloud-based Business Intelligence solution for a client operating in the healthcare sector. To this end, the Microsoft Azure platform and Databricks will be used for the development of data extraction and transformation processes.
Descrição
Internship Report presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
Palavras-chave
Big Data Business Intelligence Computação em Nuvem ETL Cloud Computing