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HPE Machine Learning Data Management is a data science platform that provides data-driven pipelines with version control and autoscaling. It is container-native, allowing developers to use the languages and libraries that are best suited to their needs, and runs across all major cloud providers and on-premises installations.

The platform is built on Kubernetes and integrates with standard tools for CI/CD, logging, authentication, and data APIs, making it scalable and incredibly flexible. HPE Machine Learning Data Management’s data-driven pipelines allow you to automatically trigger data processing based on changes in your data, and the platform’s autoscaling capabilities ensure that resource utilization is optimized, maximizing developer efficiency.

Key Features

Learn about the key features and benefits of our powerful data processing platform.

Target Audience

Discover if our platform is the right solution for your large-scale data processing and …

Basic Concepts

Discover how our platform provides a secure, scalable, and version-controlled solution for …

Intro to Data Versioning

Learn how to interact with versioned data, including creating and managing data …

Intro to Console

Learn how to perform various actions in the Console UI.

Intro to Pipelines

Learn about the Pipeline System and how to define pipelines in YAML for data …

Developer Workflow

Learn how to manage and process data in your CI workflow.

Diagrams

View diagrams to learn about architecture and workflows.

High-Level …

Glossary