According to the company, HPE Esmeral Software extends the data and analytics capabilities of HPE GreenLake from edge to cloud, providing the data and analytics foundation for ML and AI projects. Simplified by the addition of an all-new user interface, the new platform offers a wide choice of the most popular data sources and open source tools. It also improves interoperability across platforms and tools, and provides a consistent cloud operating experience.
In addition, HPE Esmeral Software provides a data and analytics platform based on predictable and transparent costs. This helps companies confidently innovate using data everywhere. The new HPE Ezmeral Data Fabric Software provides a foundation for viewing data across hybrid and multi-cloud deployment environments in one view. This makes it easier for businesses to access, analyze and manage data from around the world.
As part of this effort, the new HPE Ezmeral Unified Analytics Software provides developers and data analytics professionals access to select, fully managed, open source tools that span the full life cycle of analytics and AI/ML workloads. make it accessible In other words, HPE’s Data Fabric and Analytics solutions both help companies leverage data across analytics and AI/ML projects to make better decisions and create new revenue streams, the company said.
HPE Ezmeral Data Fabric Software covers multiple data sources and formats, such as files, objects, tables, and streams, as well as hybrid cloud deployments, and accesses data seamlessly. allow you to do The software is being offered as a SaaS for the first time, and a new intuitive user interface is also available. Customers can now take advantage of more precise management capabilities and automated policy management to optimize workload distribution based on performance, data locality, data sovereignty, cost and compliance.
HPE Ezmeral Unified Analytics Software is a new service for data engineering, data science and data analytics and is a self-service product delivered as a SaaS. Customers can also build data pipelines to develop, deploy, and monitor models or visualize data using a variety of tools, including Apache Airflow, Apache Spark, Apache Superset, Fist, Kuberflow, MLflow, Presto SQL, and Ray. there is.
New connectors and data sources are also available, including Snowflake, MySQL, Delta Lake, Teradata and Oracle. With this open and comprehensive software, IT departments can easily add and use applications, location sources and more as needed.
While other products incur significant costs when moving data to the cloud for data analysis, HPE Esmeral software is designed as a hybrid format that can be deployed in edge, co-location, on-premise and public cloud environments. By minimizing data migration costs through location-agnostic deployment, customers can conduct data analysis wherever data and computing power is available.
Mohan Rajagopalan, general manager and vice president of HPE Esmeral Software, said, “Despite the buzz around AI and generative AI applications that are transforming business, most companies have difficulty integrating these capabilities into their internal workflows. “Our solutions help businesses address the challenges they face today, leveraging the tools they already have, so they can focus their resources on AI, analytics and digital modernization more easily. ” he said.
Source: ITWorld Korea by www.itworld.co.kr.
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