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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

Speakers


Director of Product Management

David Bao

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