Increase data science productivity with HPE Ezmeral Software

[JoannStarke]

HPE Ezmeral Software delivers a complete data analytics platform with transparent economics so your organization can confidently innovate with data everywhere.

Analytics, artificial intelligence (AI), and machine learning (ML) technologies are transforming the way enterprises operate, keep ahead of the competition, and identify new market opportunities. Initially, analytics is used to unlock insights trapped inside hybrid data sources but now data science innovators are looking to go deeper by layering on AI/ML workloads. And they are finding the road ahead bumpy.

There are a couple of reasons for the bumpy road including:

• Multi-layer approval procedures that slow down access to hybrid and multicloud data sources
• AI/ML requires fast delivery of data pipelines to a broad set of personas
• Each persona prefers specific open-source tools creating complex hand-offs and refactoring of model code slowing down their release to production 

  HPE Ezmeral Software provides a complete data and analytics platform with predictable and transparent economics allowing organizations to confidently leverage their data to innovate everywhere. As shown in the following figure, HPE Ezmeral Software is composed of two solutions: 

  

  HPE Ezmeral Data Fabric spans across hybrid and multicloud locations to federate different data types into a foundational data layer, known as a hybrid data plane. A global namespace allows authorized users and apps to seamlessly access this data from any location to reduce the multi-layered approval process slowing down data pipelines.

  The latest release of HPE Ezmeral Data Fabric, expands the data plane by importing data from NFS devices, such as NetApp, and Apache Iceberg support enables S3 data lake/warehouse users to have access to their organization’s on-premises data. 

  Go deeper to learn how data fabric technology accelerates value in hybrid environments

  A unified analytics platform consists of a standardized set of enterprise-ready tools that work across a broad set of data types and formats, living in a variety of locations, to serve a variety of data users. [1]

  HPE Ezmeral Unified Analytics is an end-to-end solution designed to enable customers to build, develop, iterate, deploy into production then monitor models faster to achieve business outcomes. The self-service experience enables ML engineers, data engineers, and data scientists to access a managed ecosystem of open source tools and connectors to structured and unstructured data sources allowing the solution to cater to different AI/ML skillsets and use cases. This delivers an uncomplicated way to access different data sources and open source software.

  The latest release of HPE Ezmeral Unified Analytics, includes GPU support enhancing overall performance of AI/ML workloads, required by larger AI/ML models facilitating quicker data-driven decisions. NVIDIA A100 Tensor Core GPUs are supported for this release. Billing is consumption-based and is highly competitive with other solutions on the market.

  Read the industry analyst report on unifying analytics across hybrid cloud environments

  Organizations are frustrated with the ongoing challenges of data science and analytic platforms. Exchange the complexity to deploy at a high cost with HPE Ezmeral Software. This unified analytics platform increases collaboration, productivity, and removes dependence on proprietary solutions so your data science teams can focus on developing and deploying AI/ML workloads.

  HPE Learn On-demand is the perfect place to start if you want to learn more about data fabric technology, the value of unified analytics, or open source tools.

  
  Joann Starke
  Hewlett Packard Enterprise

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  [1] Unifying Analytics Across a Hybrid Cloud Environment, S&P Global (formerly 451), May 2023