Simplify real-time data access
With a modern, unified, scalable, and adaptable model for managing data from edge to cloud
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- Transform Data ManagementTo save all the data created, captured, copied, and consumed just in 2020, you’d need to fill a 1 TB drive every day for 161 million years. And data is forecast to continue growing 26% each year through 2024. 1
At the same time, Gartner estimates that poor data quality costs businesses between $9.7 and $14.2 million annually. 2 That’s because bad data leads to bad insights.
It’s clear that good data management is critical in the digital era. Unfortunately, many enterprises struggle with a mix of complex, specialized services that can’t scale and that sap IT resources, slow time to insight, and offer questionable data reliability.
Take a fresh approach to the data deluge
HPE Ezmeral Data Fabric addresses these challenges with a modern, unified solution that scales with large data volumes and easily adapts to new use cases and technologies. This open platform provides a single solution that simplifies real‑time data access from edge to cloud.
- HPE Ezmeral Data Fabric
Ingest and unify data from edge to cloud.
HPE Ezmeral Data Fabric is a software‑defined, open platform that allows legacy and modern analytics and artificial intelligence (AI) apps to safely access the same data sets, no matter where they are located.
The key component is a data fabric that delivers a unified layer that can ingest data from any hardware, application, tool, and multiple ingest mechanisms and then automate key processes to increase organizational agility while allowing users to engage with the data preparation process through self‑service.
Key benefits of HPE Ezmeral Data Fabric
Provides a comprehensive view across all data types and any location
Enables ingesting, orchestrating, and transforming data across multiple sources into real‑time integrated dashboards, advanced analytics, and actionable insights
Democratizes data access while maintaining enterprise‑wide compliance, data security, and protection with policy‑based workflows
- Streamline Architecture and Workflows
Unify data and simplify data management.
Situation: Management complexity
In most enterprises there are a variety of systems—such as local files, NFS farms, and HDFS—used to store data. When these systems were added, they may have made sense, but in today’s world, they simply increase management complexity and manual IT effort by requiring manual copying of data before it can be shared across systems. Worse, each system has a different security model, creating gaps where data can be lost or exploited by malicious attacks.
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- 1 IDC, IDC’s Global DataSphere Forecast Shows Continued Steady Growthin the Creation and Consumption of Data, May 2020.
- 2 Entrepreneur, Why Bad Data Could Cost Entrepreneurs Millions, April 2019.
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