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Utilizando o Apache Kudu como Workload Analítico
Um dos grandes desafios quando desenvolvemos um sistema de Workload Analítico em Tempo Real é trabalhar com dados que mudam de forma rápida em um intervalo de tempo muito baixo. A proposta dessa (...)
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Apache Cassandra no Desenvolvimento de Sistemas de Alto Desempenho
Quando seus negócios crescem, seus sistemas chave não suportam mais o volume de informação inserido, não respondem mais requisições dos seus clientes, quem chamar? Como resolver? Conheça o Apache(...)
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The Panama Papers, Graphs and Data Science: Unravelling the Shady World of Offshore Finance One Data Structure at a Time
The Panama Papers – the world's largest leak of offshore data – exposed 2.6 terabytes in 11,5 million files spanning 40 years of records on more than 210k companies. In this talk we'll explore th(...)
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Billions and billions: using large-scale graph databases to detect financial fraud in real time
We'll discuss some use cases where financial services have used graph technology and the insights you get from connecting the facts in order to solve some billion-scale problems. To demonstrate t(...)
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Realtime Data Activation - Analytics, Intelligence & Decision Making
How can you make your data really work for you, deliver value in meaningful ways to your users and dodge the countless pitfalls awaiting the unwary data explorer? You'll learn about how you can s(...)
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Big Data como Serviço: da captura à visualização de dados com alto desempenho
A Neoway fornece serviços de análise de dados e Big Data por assinatura, trabalhando com mais de 10 terabytes de dados indexados de centenas de fontes, em duas verticais: prospecção de clientes e(...)
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Learning from Data and Background knowledge
It is often possible to combine observed data with background knowledge, expressed as a set of rules or as a terminology. There has been significant work on the combination of data-centered metho(...)
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Discovering hidden treasures in yout data with graph analytics
Companies data are most from DB and mined using traditional data mining approach. However, model relational data as a graph can reveal useful insights and discovery relation among data that is ig(...)
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Getting value from data science in the Telco business: the journey of Vivo Data Labs
In this presentation, we will go through the main challenges faced by the data scientists team since its creation and how we could leverage disruptive changes in our business process, technology(...)
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Sistemas de recomendação na OLX: encontrando relevância em milhões de anúncios
Nesta palestra será apresentada a experiência da OLX com sistemas de recomendação. Veja como foi criada uma solução que seleciona conteúdo relevante a partir de uma base de 12.5 milhões de anúnci(...)
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Deep Learning for sentiment analysis
Convolutional Neural Networks (CNNs) are already proven to be the state of art technique for image classification projects. However, some recent research found that it can be also used for some t(...)
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How Apache Beam will change Big Data
What is Apache Beam in a perspective of a committer deeply involved with the data science community. Check also the most interesting features and how it might change small and big data processing.