Skip to main content
Engineering blog

On March 9th, we hosted a live webinar—Apache Spark MLlib 2.x: How to Productionize your Machine Learning Models—to address the following questions:

  1. How do you deploy machine learning models to a production environment?
  2. How do you embed what you've learned into customer facing data applications?
  3. What are the best practices from Databricks on how customers productionize machine learning models?

To address the above concerns, we did a deep dive with actual customer case studies and showed live tutorials of a few example architectures and code in Python, Scala, Java and SQL.

If you missed the webinar, you can view it on-demand here, and the slides and notebook are accessible as attachments to the webinar.

Toward the end, we did a Q&A, and below are all the questions with links to forums with their answers. (Follow the links below to view the answers.)

If you'd like free access to Databricks, you can access the free trial here.