Hewlett Packard Enterprise Fuels Data-Driven Digital Transformation with New Products and Partnerships for HPE Ezmeral Software - Seite 2

The HPE Ezmeral Data Fabric is ideal as the global file system foundation for large scale custom applications, a data lake for analytics applications, and software-defined storage for large scale container environments. It is now available as a software-defined, scale-out data store to help solve challenges for data-intensive applications from edge to cloud. Additionally, as organizations look to modernize their enterprise workloads, the HPE Ezmeral ecosystem brings the top open-source projects and ISVs together for access to the data and tools enterprises prefer, all in one control plane for the entire data science team.

The HPE Ezmeral software portfolio is a purpose-built, hybrid cloud platform for data science and analytics workloads for enterprises to build and accelerate their modern data analytics initiatives at scale. It is composed of a complete orchestrated Kubernetes container platform along with a built-in persistent storage layer and ML Ops for data science workflows. The HPE Ezmeral portfolio plays an essential role in the HPE edge-to-cloud platform-as-a-service strategy. Combined with HPE GreenLake cloud services, which provide an agile, lower cost, and consistent cloud experience everywhere, customers can use the HPE Ezmeral software portfolio to rapidly transform and modernize all their applications and data, and streamline analytic workloads, all in an as-a-service model. The HPE Ezmeral Container Platform and HPE Ezmeral ML Ops are available as cloud services through HPE GreenLake now, and HPE plans to offer the HPE Ezmeral Data Fabric as a HPE GreenLake service in the future.

The HPE Ezmeral Data Fabric operates as the persistent store facility, and is now available separately as a software-defined, scale-out data store optimized for data analytics capabilities. It can span multiple edge sites, multiple clouds, and hybrid environments, and is managed through one instance accessible via a global namespace. Enterprises can create a unified data repository for data scientists, developers, and IT to access and use, and with control of how it is used and shared, creating the foundation for digital transformation that reaches new data sources and scales with the business as it grows.