Get Started
Describes how to get started with HPE Ezmeral Unified Analytics Software.
- Tutorials
  Provides a set of tutorials that you can use to experience HPE Ezmeral Unified Analytics Software and the included applications, such as tutorials for data science and data analytics workflows with notebooks and applications like Spark, MLflow, Feast, Airflow, and EzPresto.
- Resources
  Provides links to additional resources such as product licensing information, on-demand training, videos, blogs, and HPE Ezmeral Unified Analytics Software community.
- Third-Party Licenses
Administration
Provides information about managing applications and clusters in HPE Ezmeral Unified Analytics Software.
Security
Describes security in HPE Ezmeral Unified Analytics Software.
Observability
Describes observability in HPE Ezmeral Unified Analytics Software.
Data Engineering
Data engineers can design and build pipelines that transform and transport data into usable formats for data consumers.
Data Analytics
Provides a brief overview of data analytics in HPE Ezmeral Unified Analytics Software.
Data Science
Provides a brief overview of data science in HPE Ezmeral Unified Analytics Software.
Notebooks
Provides a brief overview of Notebooks in HPE Ezmeral Unified Analytics Software.
Glossary
Definitions for commonly used terms in HPE Ezmeral Unified Analytics environments.

Third-Party Licenses

To download a spreadsheet listing the third-party components in HPE Ezmeral Unified Analytics Software in Microsoft Excel format (.xlsx), click Third-Party Licenses.

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HPE Ezmeral Unified Analytics Software 1.5 Documentation
Abstract	HPE Ezmeral Unified Analytics Software is a usage-based Software-as-a-Service (SaaS) model that operationalizes hybrid and multi-cloud modern analytical workloads through a simple user interface, easily installed and deployed in minutes. HPE Ezmeral Unified Analytics Software separates compute and storage for flexible, cost-efficient scalability to securely access data stored in multiple data platforms, enabling you to run traditional and advanced analytics workloads with open-source tools.
Published	June 2025
Edition	1.5.0
Topic last updated	2024-11-25