Accelerating data-driven culture at the largest media group in Latin America with Jupyter
JupyterHub is an important tool for research and data-driven decisions at Globo.com. Diogo Munaro Vieira and Felipe Ferreira explain how data scientists at Globo.comthe largest media group in Latin America and second largest television group in the worlduse Jupyter notebooks for data analysis and machine learning, making decisions that impact 50 million users per month.
| Talk Title | Accelerating data-driven culture at the largest media group in Latin America with Jupyter |
| Speakers | Diogo Munaro Vieira (Globo.com), Felipe Ferreira (Globo.com) |
| Conference | JupyterCon in New York 2017 |
| Conf Tag | |
| Location | New York, New York |
| Date | August 23-25, 2017 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
JupyterHub is an important tool for research and data-driven decisions at Globo.com. Diogo Munaro Vieira and Felipe Ferreira explain how data scientists at Globo.com—the largest media group in Latin America and second largest television group in the world—use Jupyter notebooks for data analysis and machine learning, making decisions that impact 50 million users per month. By using Jupyter notebooks combined with JupyterHub, Globo.com’s data scientists can analyze company products metrics, recommendation systems results, and A/B test results and build their own machine learning models. All of the studies support OAuth 2, Spark jobs monitoring, Python, R, PySpark, and SparkR without installation and configuration issues. Globo.com’s data science platform empowers data scientists and managers. Running on two machines, each with 32 CPU cores and 125 GB of memory, the platform is supported by JupyterHub and is used to filter billions of metric events a day.
