Reproducible Data Science Workflows Using Docker

Description

Want to eliminate the hassle of inconsistent programming environments and achieve reproducible data science? Attend our presentation on how Docker can help you achieve that and more! Learn the basics of Docker, including creating and running containers, working with images, automating image building using Dockerfile, and managing containers on your local machine and in production. See real-world examples of how other data scientists use Docker to streamline their workflow and address common challenges like reproducibility and dependency management. This session is interactive and hands-on, so come ready to learn and apply the techniques yourself!

Speakers and Panelists

Sanjay Pant | Future of Data and AI Speaker

Sanjay Pant

Senior Data Engineer at Data Science Dojo

Sanjay is a data engineer at Data Science Dojo with experience in cloud infrastructure engineering. He contributes to the design and implementation of scalable cloud solutions for enterprise customers across industries, including proof-of-concept and production-level projects.

We are coming back!

Join us for the second season of the Future of Data and AI conference in the summer of 2023, after our successful first conference with 10,000+ registered attendees. Fill out the form to participate.

Future of Data & AI