Key Features and Benefits #

The following are the key features of HPE ML Data Management that make it a powerful data processing platform.

Data-driven Pipelines #

• Automatically trigger pipelines based on changes in the data.
• Orchestrate batch or real-time data pipelines.
• Only process dependent changes in the data.
• Reproducibility and data lineage across all pipelines.

Version Control #

• Track every change to your data automatically.
• Works with any file type.
• Supports collaboration through a git-like structure of commits.

Autoscaling and Deduplication #

• Autoscale jobs based on resource demand.
• Automatically parallelize large data sets.
• Automatically deduplicate data across repositories.

Flexibility and Infrastructure Agnosticism #

• Use existing cloud or on-premises infrastructure.
• Process any data type, size, or scale in batch or real-time pipelines.
• Container-native architecture allows for developer autonomy.
• Integrates with existing tools and services, including CI/CD, logging, authentication, and data APIs.