Platform Component: <b>Enterprise Infrastructure Foundation</b>

Platform Component: Enterprise Infrastructure Foundation

Enable Self-Service DevOps While Maintaining Enterprise Security and Control

Domino empowers data science teams with DevOps superpowers to orchestrate elastic scaling of workloads across all major cloud platforms and on-premises hardware. Forward-looking IT leaders can realize their vision of creating a modern enterprise data science infrastructure to support the agility that model-driven businesses require.

Unlock Powerful Infrastructure for Data Science Teams

Consolidate Data Science Stacks into One Platform to Reduce Management Surface Area and Cost of Ownership

Deploy Domino on Any Cloud Provider or on Your Own On-Premise Hardware

Simplify Administration and Execute Workloads More Efficiently with a Kubernetes-Native Compute Grid

Ensure Secure and Auditable Data Science Operations with Permissioning, SSO, Credential Propagation, and More

Consolidate Data Science Stacks into One Platform to Reduce Management Surface Area and Cost of Ownership
Deploy Domino on Any Cloud Provider or on Your Own On-Premise Hardware
Simplify Administration and Execute Workloads More Efficiently with a Kubernetes-Native Compute Grid
Ensure Secure and Auditable Data Science Operations with Permissioning, SSO, Credential Propagation, and More

Provide Self-Service Access to Compute Resources with Governance and Security

Elastically Scale Compute Resources, Including CPU, GPU, and Spark Clusters, On-Demand

New On-Demand Spark Clusters let Data Scientists Choose the Size of Cluster They Need for Experimentation

Automatically Distribute All Packages and Dependencies – No More DevOps Headaches and Wasted Time

IT Staff Can Rest Easy Knowing That Resources Will Spin Down When Finished to Reduce Spend

Elastically Scale Compute Resources, Including CPU, GPU, and Spark Clusters, On-Demand
New On-Demand Spark Clusters let Data Scientists Choose the Size of Cluster They Need for Experimentation
Automatically Distribute All Packages and Dependencies – No More DevOps Headaches and Wasted Time
IT Staff Can Rest Easy Knowing That Resources Will Spin Down When Finished to Reduce Spend

Simplify Data Discovery and Package Management

Data Sources are Cataloged So They Can Be Easily Found and Immediately Used

New Data Science Packages and Tools Can Be Added Quickly.

Managing Incompatible Versions Across Projects is a Thing of the Past with Integrated Version Control

Data Sources are Cataloged So They Can Be Easily Found and Immediately Used
New Data Science Packages and Tools Can Be Added Quickly.
Managing Incompatible Versions Across Projects is a Thing of the Past with Integrated Version Control
National Oilwell Varco

Domino on Kubernetes gives our data science team the flexibility we need while offering peace of mind to our partners in IT. We can now run Domino across diverse infrastructure, including both on-premises and cloud-based environments, while also plugging into existing monitoring, logging, and enterprise security tools that our IT team knows and trusts. It’s a big step forward on the path to make Data Science a first-class citizen that’s aligned with Enterprise IT.

Joshua Cluff

Joshua Cluff

Data Science Operations Manager

National Oilwell Varco

Related Data Science Resources

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Data Science in the Cloud

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Announcement - Domino is Fully Kubernetes-Native

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The Cost of Doing Data Science on Laptops

Make Your Business Model-Driven

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