distributed data science

OpenTeams Partner Spotlight E01: Coiled

In this webinar, we’ll dive into the challenges of distributed computation for organizations: parallel libraries, such as Dask, are only useful if you both have access to parallel hardware, and the DevOps expertise to use it. This excludes many important communities.

An eye in focus with the rest of the image out of focus.

Distributed Data Science for IT Professionals

Scaling Data Science is a Team Sport An increasing number of organizations need to scale data science to larger datasets and larger models. However, deploying distributed data science frameworks in secure enterprise environments can be surprisingly challenging because we need to simultaneously satisfy multiple sets of stakeholders within the organization: data scientists, IT, and management. …

Distributed Data Science for IT Professionals Read More »

A diagram showing how your cluster is not a laptop.

Distributed Computing for Data Scientists

An increasing number of organizations need to scale data science to larger datasets and larger models. However, deploying distributed data science frameworks in secure enterprise environments can be surprisingly challenging because we need to simultaneously satisfy multiple sets of stakeholders within the organization: data scientists, IT, and management.

Sign up for updates