How to Play with and Integrate DevOps Technologies in an R Data Science Workflow
Over the last year I’ve become obsessed with trying to encourage the data science community to explore and exploit DevOps and cloud computing technology. This isn’t often an easy undertaking. Most people (data scientists or not) are skeptical of deviating from the tools and workflows they’ve come to rely on. This talk will feature case studies in developing data science products and workflows in the cloud, and how working with these tools can open up a world of new possibilities within the intersection of DevOps and Data Analytics.KEYS Topics to discuss:- How DataOps can address the growing scope of data science tasking- Where to start when you start exploring cloud services- How to work through functionality/engineering challenges in a cloud environment- Case studies in data science product engineering and deployment