Jupyter in the Enterprise#
Businesses, especially those that started their ‘digital transformation’ journey, are producing ever-increasing volumes of data. Enterprise data science aims to unearth the hidden value of those digital assets, which are typically siloed, uncategorized, and inaccessible to humans.
Jupyter and JupyterHub can play a major role in related initiatives, especially in companies with an established open-source culture. The intent of this page is to provide you with ideas how Jupyter technology can fit into your organization’s processes and system landscapes, by providing real-world examples and showcases.
PayPal Notebooks: Data science and machine learning at scale, powered by Jupyter (JupyterCon 2018 · video)
We’re actively working on this section of the documentation to improve it for you. If you’ve got a suggestion for a resource that would be helpful, please create an issue or a pull request!