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HPE Data Fabric Software
HPE announces the next major release of the HPE Data Fabric Software, bringing AI to the complexities of optimizing and managing a global data plane. With this release of the HPE Data Fabric Software it is now easy to use AI for solving complex, multifaceted use cases in areas such as compliance, governance, security analysis, metadata management and monitoring across your enterprise's data assets.
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HPE Data Fabric File SSD/HDD E‑LTU
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Maximize your HPE Data Fabric Software
What's New
- AI-powered fabric: HPE Data Fabric Software now enables secure integration with AI models to support governance, compliance, and auditing use cases natively within the global namespace.
- Enhanced metadata intelligence with Apache Polaris providing unified metadata for governance, cross-engine catalog visibility, lineage tracking, auditability and enforcement across the lakehouse.
- External sources with GNS: Global namespace enables access and visibility to external sources such as NFS, S3, Apache Iceberg, and HPE Alletra Storage MP X10000.
- Streaming: Improved support for streaming data supporting high-velocity data processing and streaming analytics, enabling faster event-driven insights in the real time world.
- Data Movement Foundation, introduces event-driven object replication and data movement across hybrid S3 environments, enabling automated, scalable, and policy-ready data pipelines
- Storage Efficiency (IEC), Inline Erasure Coding enables near real-time data protection and reduces storage overhead, eliminating delayed offload cycles.
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.
Extends zero trust principles to AI-driven workflows by propagating user identity through MCP into Polaris, enabling fine-grained, per-user governance and secure data access.
Combines AI with unified metadata and global namespace to enable intelligent data discovery, policy enforcement, and automated insights across enterprise data.
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.
Extends global namespace with Polaris catalog federation, enabling cross-cluster data access and unified metadata visibility.
Integrates open table formats like Apache Iceberg and external storage systems, enabling seamless hybrid and multi-cloud data access.
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.
Enables cross-cluster metadata federation, allowing distributed Polaris catalogs to interoperate and provide unified governance.
Powers AI-driven metadata insights, accelerating compliance, auditing, and data lineage analysis across the enterprise.
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.
Event‑driven object replication seamlessly moves data across cloud, edge, and on‑prem environments.
Automated tiering with integrated lifecycle management and inline erasure coding cuts costs and maximizes efficiency.
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