Hewlett Packard Enterprise (HPE) has simplified data organization, management, and analytics for organizations advancing their artificial intelligence (AI) and machine learning (ML) workflows by overhauling its Ezmeral software portfolio. HPE Ezmeral has grown in recent years through a series of acquisitions, including BlueData software, MapR, Ampool, and most recently, the leadership and engineering team behind Arrikto. HPE Ezmeral has also been supporting multiple other open-source efforts that are critical to modern data and AI operations, including Apache Spark, Apache Airflow, Apache Superset, MLflow, Feast, and Ray.
Simplifying the Portfolio
HPE Ezmeral announced that it is now organizing and updating its portfolio with two primary streams. The new HPE Ezmeral Data Fabric software suite will consolidate the company’s data management technologies. HPE Ezmeral Unified Analytics Software is the new offering that will bring together all the tools and technologies needed for organizations to manage data analytics as well as AI/ML workloads. “We want to focus on providing foundation capabilities that help our customers develop and deploy applications in a hybrid multicloud world,” said Mohan Rajagopalan, VP and GM at HPE Ezmeral Software.
Importance of Data
Data is critical to success for modern enterprises. Data helps to drive decision-making with analytics and business intelligence. Data is also the foundation for AI/ML. “Almost every customer says that data is the future — and whoever owns more data has better insights,” said Rajagopalan. “The technology to generate insight is going to keep evolving over time.” HPE Ezmeral complements the HPE Greenlake portfolio. Ezmeral is purely focused on the software layers of the stack, whereas Greenlake takes more of an infrastructure view.
With the HPE Ezmeral Data Fabric Software, the goal is to provide a suite of capabilities to help enterprises organize, manage and connect data. The basic idea is to enable a federated data layer, where different sources can be connected in an approach that allows organizations to benefit from all their data. Functionally, what Data Fabric is enabling is a hybrid data lakehouse, where data can be stored on-premises, at the edge, or in the cloud, and is available for data analysis.
With the HPE Ezmeral Unified Analytics Software suite, HPE has taken the best-of-breed open-source technologies, such as Superset, Kubeflow, Airflow, Feast, and Ray, and packaged them with enterprise-grade guardrails under this umbrella called Unified Analytics. “Our thesis here is that enterprises are sitting on treasure troves of data,” said Rajagopalan. Enterprises could potentially use the data for building out AI models.
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