What is HPE Ezmeral Data Fabric?
Hello! I’m Ryan Harring, an HPE EAM here in the great state of Tennessee. HPE Ezmeral Data Fabric (formerly MapR Data Platform) is a software-defined data store and file system platform with a proven track record across a wide variety of large-scale production systems. It delivers trusted data to any data-driven organization by supporting multiple data types, application programming interfaces (APIs), and ingest mechanisms that augments data with AI/ML workflows.
If you are unfamiliar, HPE Ezmeral Container Platform is a unified container platform built on opensource Kubernetes and designed for both cloud-native applications and non-cloud-native applications. These applications can run on any infrastructure be it on-premises bare metal or in multiple public clouds like Amazon Web Services (AWS), Microsoft Azure ™ and Google Cloud.
Forward-leaning companies win market share because they leverage data more effectively than their competitors. Unlock the potential of your data assets with HPE Ezmeral Data Fabric (formerly MapR Data Platform) to deliver a unified data platform to ingest, store, manage, process, apply, and analyze all data types from any data source, and a variety of different ingestion mechanisms. Empower your data science, analytics, and business teams by simplifying data management on a globally distributed scale. All with enterprise-grade reliability, security, and performance.
Data fabric is a design concept that enables reusable and augmented data integration services and data pipelines to deliver integrated data. It can combine data management, integration, and core services that are orchestrated across multiple deployments and technologies. Companies benefit with democratized data access through self-service that orchestrates data delivery across multiple use cases.
In the overarching architecture the system can ingest data from any store, filesystem, or database and then apply AI and ML tools to analyze and mine insights required for maximum business value. It abstracts away different geographical, physical, and logical locations with a semantic layer that uses multiple access methods and protocols. This means data science and engineering teams can continue using familiar tools to support existing productivity levels.
Read more about this topic through the link included and be sure to contact your HPE representative for more details.
Make it a great day and we look forward to partnering with you and your business!
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