Enterprise data science teams need access to business data and the tools and computing resources required for end-to-end machine learning workflows, while IT and the business need to maintain data governance and control infrastructure costs. Cloudera Machine Learning brings the agility and economics of cloud to self-service machine learning workflows with governed business data and tools that data science teams need, anywhere.
During this demo, you’ll learn how:
- Administrators can deploy ML workspaces for teams with secure access to data and tools for end-to-end data science workflows
- Users get on-demand access to auto-scaling, auto-suspending compute resources and their preferred editors, tools and libraries, all within administrative guardrails for security and cost
- Teams can collaborate to accelerate projects from data engineering and exploration to model training and experiment tracking, to deploying and managing models via interactive apps in production
