Best Practices: Implementing DataOps with a Data Science Platform

With the growing number of data-driven organizations new approaches are needed to drive innovation in scaling and implementing data science. We will discuss how data and data science platforms take advantage of what we are calling DataOps. We will share background on this approach and how it supports putting data science models into production. We will provide best practices and a roadmap on how to implement these techniques to become a leader in machine learning and data science.

Join us for a complimentary webinar with experts from & MapR to:

  • Learn about the benefits of applying a DataOps approach to your data science workflow
  • Review best practices for how IT teams can support their data science teams
  • Hear how customers of MapR and have reaped the benefits of this new approach.


Crystal Valentine
VP of Technology Strategy
MapR Technologies

William Merchan