HPE Ezmeral Software accelerates and simplifies analytics and AI/ML initiatives
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.
Leave A Comment