HPE Ezmeral Software accelerates and simplifies analytics and AI/ML initiatives

• 17 May 2023
• TM Team
• 0 Comments

Hewlett Packard Enterprise introduced the next step in the HPE Ezmeral Software platform, designed to help organizations leverage data globally and deploy analytics at scale through a predictable, software-as-a-service (SaaS) solution for hybrid multi-cloud environments. HPE Ezmeral Software extends the edge-to-cloud data and analytics capabilities of HPE GreenLake and provides the data and analytics foundation for machine learning (ML) and artificial intelligence (AI) projects. The simplified platform now features an all-new user interface, expanded selection of the most popular data sources and open-source tools, interoperability across the platform and its tools, and a consistent cloud operating experience.

Despite growing demand to create new revenue streams and efficiencies from data, only 24 percent of enterprise data created in 2022 was leveraged for analytics or fed into AI/ML workloads. This is due to several challenges that organizations of all types and sizes face today. First, data is more siloed across multiple clouds and different data formats and sources. Second, enterprises grapple with analytics tools and workloads that struggle to meet performance, cost and compliance requirements. Finally, public cloud-based solutions bring limited data controls, unpredictable costs and risk of vendor and data lock-in, while do-it-yourself, open-source tools are not built for enterprise IT and security requirements.

HPE Ezmeral Software provides a complete data and analytics platform with predictable and transparent economics, enabling organizations to confidently innovate with data everywhere. The enhanced HPE Ezmeral Data Fabric Software provides the foundation with a single, federated view of data across hybrid and multi-cloud deployments, so organizations can easily access, analyze, and govern data globally. The new HPE Ezmeral Unified Analytics Software builds on this foundation and empowers developers and data analytics professionals with self-service access to fully managed and curated open-source tools for the complete lifecycle of analytics and AI/ML workloads. Together, the data fabric and analytics solutions from HPE enable organizations to harness data across their enterprise for analytics and AI/ML projects that improve decision-making and unlock new revenue streams.
 

• HPE Ezmeral Data Fabric Software provides seamless access across multiple data sources and formats, including files, objects, tables and streams, as well as across hybrid cloud deployments. The software is available for the first time as a SaaS offering and with a new intuitive user interface. Customers now have precise controls and automated policy management for optimizing workload placement according to performance, data locality, sovereignty, costs and compliance.
  
  
  
• HPE Ezmeral Unified Analytics Software is a comprehensive new offering for data engineering, data science and data analytics delivered as a SaaS and self-service experience. Customers can build data pipelines, develop, deploy and monitor models and visualize data with evergreen tools including Apache Airflow, Apache Spark, Apache Superset, Feast, Kubeflow, MLFlow, Presto SQL and Ray. New connectors and data sources include Snowflake, MySQL, DeltaLake, Teradata and Oracle. With the open and extensible software, teams can easily add applications, locations, and sources as needs evolve.