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HPE Ezmeral File and Object Store 3-year 24x7 E-LTU
In Stock
9999 available
- Ezmeral File and Object Store 3-year 24x7 E-LTU
SKU #: S0M34AAE
UNSPSC #: 81111818
| 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. |
AI Powered Data Fabric
New in this release HPE Data Fabric Software continues to advance its global namespace capabilities, bringing AI to a range of operational, governance, compliance, metadata management and application-based data use cases.
Adopting Model Context Protocol (MCP), the emerging standard for model-to-data interaction, offers a secure solution and future compatibility with the diverse and rapidly evolving set of AI tools.
Security is paramount. The solution is "zero trust" by design, and then it is enforced at multiple layers with no implicit trust between services, users, or components.
Integrated Global Namespace
The built-in global namespace provides a single point of data access, allowing users and applications to see all available data, and a consistent access point that allows users and applications to see and access all of their enterprise data assets.
Unlocks the ability to optimize a customer's data landscape, reducing duplication, data movement and optimizing compute resources based on data affinity.
Accelerates insights by combining data from multiple enterprise systems into a single consistent global namespace.
Expanded Metadata Management Capabilities
This release expands the global namespace’s metadata capture to Lakehouse metadata. Now lakehouse metadata is collected and exposed through the AI interface, allowing both business and audit/governance questions of lakehouse metadata and reducing time to insights.
A lakehouse dimension catalog provides further metadata insight for governance and cross-engine catalog visibility, improving lineage tracking, auditability, and policy enforcement across the lakehouse ecosystem.
Built for Hybrid Deployments
HPE Data Fabric Software can both federate object and file data stores in the cloud and be deployed in the cloud and integrated into the global namespace, providing efficient connectivity and compute wherever the data resides.
Built-in mirroring synchronizes data across locations, latency, and performance issues.
Single user interface sets up and configures data management, security, and sovereignty across multiple locations.
How can businesses thrive in the rapidly changing data and AI landscape while dealing with fragmented data across multiple formats and systems? HPE Data Fabric Software tackles this challenge head-on by unifying siloed data into a secure, centralized data lakehouse. HPE Data Fabric Software streamlines access, management, and governance across diverse data formats and locations, eliminating silos and driving faster AI-powered innovation. By processing data where it resides, this solution minimizes latency and complexity, empowering organizations to maximize the value of their data.
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.
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. |