Nowadays, to work with big data and to configure environments for all applications is very difficult, but using Jupyter Notebooks combined with JupyterHub our data scientists can analyze company products metrics, recommendation systems results, AB test results and build their own machine learning models. All of studies are made with support of login (oAuth2), Spark jobs monitoring and the ability to work with Python, R, PySpark or SparkR without installation and configuration issues within a common data science platform. This platform is safe and empower data scientists and managers on their research and data driven business choices. Running on 2 machines, each with 32 CPU cores and 125GB of memory, our data science platform is supported by Jupyterhub and has been used for hundreds of data scientists to filter billions of metric events a day. We will show how Jupyter is changing the culture of Globo.com – the largest media group of Latin America and second largest television group of the world – allowing data scientists to research our users and creating a great impact on our business.
Bachelor’s in Biological Science – Biophysics (Bioinformatic) from UFRJ (2011) and master’s at Artificial Intelligence from PPGI – UFRJ (2014). Has experience in Computer Science, acting on WEB Development, P2P Network, Collaborative Systems, Recommendation Systems, Open Source, BI (Business Inteligence) and loves Big Data.
Analytical, performance focused engineer with over 12 years experience in enterprise systems development and architectural design using JEE technology. Specialized in Big Data platform analytics using Hadoop and associated ecosystem tools. Exceptional technology skills combined with ability to drive user-centric solutions, define strategy and lead data management.
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