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Integrates files, objects, NoSQL databases and streaming data into a unified layer that fosters enterprise-wide data observability and life-cycle management across traditional and cloud-native apps without refactoring data or applications.
Integrates files, objects, NoSQL databases and multiple types of streaming data from existing Big Data and cloud-native architectures into a single logical data store.
Integrates multiple data types from data lakes, warehouses, cloud, edge and core. Broad API support enables legacy analytics and apps to run alongside new data and can all be accessed from a single management pane.
Optimises all object sizes for both performance and storage efficiency. Multi-protocol access increases availability to a wider set of traditional and container-based applications.
Performant NoSQL database supports real-time and operational analytics. Integrates with Apache Drill for distributed SQL queries on large data sets. Runs in the same cluster as Apache Spark for processing live, interactive data.
Global namespace unifies data silos across the enterprise for use by any user, application or workload. Enables multiple global deployments to run as a single, logical cluster no matter where the data is located.
Global policies create and govern isolation and privacy for specific clusters, tenants and groups, allowing multiple jobs with different requirements to run in a single cluster. Allows data and analytic teams to share infrastructure without interference.
Benefits of HPE Ezmeral Data Fabric
Powers data-driven enterprises
- Data consumed by existing and modern apps and tools
- Consistent data functionality and services simplifies management, access and control
- Designed for high-performance analytic and operational workloads
Overcomes technical debt
- Ingests, controls and manages data from data centres, lakes, warehouses, cloud and edge environments
- Get more value from legacy big data estates
- Modernise without refactoring, slowly retire or build on top
Simplify data management & processing
- Certified ecosystem components that work together in one or more clusters
- Built-in security simplifies authentication, authorisation, auditing and encryption. FIPS 140-2 Level 1 compliant on Red Hat Enterprise Linux.
- Applies real-time masks on designated fields to hide sensitive or PII data in query results
- 57%
lower cost for data analytics
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less time per query, 20x more queries
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higher productivity for analytics teams
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Use Cases for HPE Ezmeral Data Fabric
Analyse data at the edge
- In-place analysis enables model training or deep learning
- Supports real-time actions
Seamless Scale
- Designed to transparently scale to large capacities
- Unified platform scales all data types in unison to simplify administration
Single logical data store
- Accelerate time to insights with a single trusted data source
- Secure data sharing across traditional and modern data analytics apps and tools
Platform level management
- Global policies consistently secure, protect and manage volumes, objects, tables and streams
- Data and applications scale without increasing IT human resources
HPE Ezmeral Data Fabric Videos
HPE Ezmeral Data Fabric product details
A unified data layer that increases data accuracy and control across edge to cloud. Works well with existing systems by ingesting data from current infrastructure. Accelerate insights by layering on analytic tools and frameworks.
New Work SE accelerates data insights for a better work life
Professional networking service company deploys HPE Ezmeral Data Fabric, allowing them to sustain business growth with data-driven offerings to jobseekers and employers.
Challenge
Traditional solutions such as network file system (NFS) stores and relational databases were not addressing the company’s requirements for flexibility, performance and cost-effectiveness.
Solution
HPE Ezmeral Data Fabric was the only solution that fully delivered to New Work’s expectations for a stable, massively scalable and easy-to-use environment to analyse large amounts of raw data.
“Admin and maintenance would usually take 20 to 30% of our team’s time. HPE Ezmeral Data Fabric reduces this to less than 10%.”
Result
HPE Ezmeral Data Fabric makes quick data exploration and analysis a straightforward exercise. A key benefit is the ability to run multiple use cases on a single cluster instead of relying on separate clusters for each use case.
Resources
LEARN HPE EZMERAL DATA FABRIC ON-DEMAND
The HPE Ezmeral Data Fabric (v6) Admin Series courses for system administrators, IT professionals, data architects and data engineers. You'll gain skills from configuring clusters to how to set up global configuration parameters and configure client access for a data fabric. And learn how to use Access Control Expressions (ACEs) to control access to cluster data and get foundational knowledge as well as hands-on technical experience with a variety of data fabric topics.
Connect & join the conversation
Data Fabric Frequently Asked Questions
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What is data fabric?
Data fabric is a storage system that stores and supplies access to data enabling companies to accelerate data insights. More on what is data fabric?
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Why is it called data fabric?
It is called data fabric because, like a hypothetical piece of fabric, it provides a layer that joins multiple data points, data types, data processes, data access and data analytics methods across locations. More on data fabric definition.
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How is data fabric used?
Data fabric can be used to determine customer satisfaction efficiently access large volumes of IoT data and leverage real-time and advanced analytics for fraud detection. More on data fabric use cases.