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HPE Ezmeral File and Object Store 3-year 24x7 E-LTU
- Ezmeral File and Object Store 3-year 24x7 E-LTU
| SKU | S0M34AAE |
|---|---|
| Manufacturer | HPE |
| Availability | In Stock |
| Technical details | |
|---|---|
| Software version | HPE Ezmeral Data Fabric version 7.1 and HPE Ezmeral Ecosystem Pack 9.0.x. |
| Other features | |
|---|---|
| Software version | HPE Ezmeral Data Fabric version 7.1 and HPE Ezmeral Ecosystem Pack 9.0.x. |
Built for hybrid deployments
HPE Data Fabric Software can federate object and file data stores across on-premises, cloud, and edge environments and provide access through the global namespace, enabling connectivity and compute wherever the data resides.
A single user interface simplifies data management, security, and administration across multiple locations.
Built-in mirroring synchronizes data across locations to support availability, disaster recovery, and multi-site access.
Automated object movement enables real-time data movement across distributed S3-compatible environments to support data placement across locations.
Automated tiering with integrated lifecycle management and inline erasure coding helps reduce storage costs and improve efficiency.
Integrated global namespace
The built-in global namespace provides a single, consistent point of access, allowing users and applications to see and access enterprise data across distributed environments.
Unlocks the ability to optimize a customer's data landscape, reducing duplication and data movement and optimizing compute resources based on data affinity.
Accelerates insights by providing access to data across multiple enterprise systems without requiring data to be consolidated in a single location.
Extends data access across distributed environments while maintaining a consistent namespace across locations.
Integrates open table formats such as Apache Iceberg and external storage systems, enabling hybrid and multi-cloud data access.
Expanded metadata management capabilities
HPE Data Fabric Software captures and exposes metadata across the data landscape, providing greater visibility and context for data management, governance, and analytics.
Metadata federation enables visibility and governance across distributed data sources and environments.
Lakehouse metadata provides additional context for governance and cross-engine catalog visibility, improving lineage tracking, auditability, and policy enforcement.
Apache Polaris provides catalog capabilities across distributed environments, supporting metadata discovery, governance, and interoperability.
Makes metadata available to AI applications through MCP, supporting compliance, auditing, data discovery, and lineage use cases.
AI-powered data fabric
Combines AI with global data access and metadata to support AI-driven workflows and analytics across distributed enterprise data.
Model Context Protocol (MCP) provides a consistent interface for AI applications and agents to securely interact with data, metadata, and workflows.
Enables users and AI agents to create, execute, and monitor data workflows using natural language through Apache Airflow and MCP.
Integrated governance and compliance capabilities help ensure AI applications and workflows operate with appropriate data access, policies, and controls.
Extends zero trust principles to AI-driven workflows, enabling fine-grained, per-user governance and secure data access.
What is new supporting point:
Enhanced insights service delivers advanced Spark-powered visualizations and analytics for improved data-driven decision-making.
Reduces data silos with a unified data lakehouse and centrally manages and governs data while accessing it directly where it resides.
Streams monitoring enables real-time telemetry tracking for enhanced monitoring and operational efficiency across stream topics.
Access to structured, unstructured, and modern (Apache Iceberg™) data as well as external sources such as NFS, S3 is made possible through a directory structure known as a global namespace.
Installer UI enhancements introduces support for predefined and custom EEP service templates in Seed Installer and DFUI workflows, simplifying service selection and configuration during fabric setup.
Helm charts for Spark offers a dedicated Helm chart for streamlined containerized Spark deployment and improved workload efficiency.
| Technical details | |
|---|---|
| Software version | HPE Ezmeral Data Fabric version 7.1 and HPE Ezmeral Ecosystem Pack 9.0.x. |
| Other features | |
|---|---|
| Software version | HPE Ezmeral Data Fabric version 7.1 and HPE Ezmeral Ecosystem Pack 9.0.x. |