Does Open Source Scale?

Open source approaches to data science and analytics is no longer an option, but a necessity. The development of open source tools, such as R and Spark, is enabling companies to walk away from the traditional software licensing models and embrace innovation through the use of APIs, SaaS and DaaS. While the benefits of open source has been touted for years, transitioning to an open source approach presents a challenge for corporations. Success requires finding a balance between the required operations and the benefits of acceleration. In this talk, I will discuss the challenges faced by data science teams, the gaps that are often created during the transition to open source and how to avoid pitfalls that stands in the way of every complex organization.