MODERN DATA PLATFORM ENABLES DATA OPS
Integration of files, objects, streams, and databases modernizes data infrastructure and breaks down silos. Directly access data data using existing tools, multiple protocols and languages for data analytics and machine learning.
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Modern object store optimized for performance and storage efficiency from edge to cloud. Integrates files, streams, databases, and objects into a single data infrastructure to simplify data management.
Modern object store optimized for performance and storage efficiency from edge to cloud. Integrates files, streams, databases, and objects into a single data infrastructure to simplify data management.
Applications or teams can directly access objects or files regardless of where they are located
Unify data globally whether at the edge, in data warehouse on-premises, cloud data lake, or other cloud platform. Unique data fabric enables global access to data and keeps data sets synchronized regardless of location.
Unified platform level automation and orchestration automates global security, access control, snapshot/mirroring and replication policies.
Object store that is optimized for both storage efficiency and performance. Very large objects are stored for rapid ingestion and retrieval. Small objects optimized for storage efficiency.
Benefits of HPE Ezmeral Data Fabric
Universal data access
- Global namespace enables direct access to data no matter its locality
- Simplify data management by accessing clusters with native S3, NFS, HDFS or POSIX
- Broad API support provides direct data access for legacy apps, modern analytics, and AI apps
Enables Data Ops agility
- Unified data analytics infrastructure supports batch and real-time data analytics
- Data store transparently scales to 1000’s of nodes, trillions of objects and exabytes of data
- Automated policy-driven mirrors, snapshots, and replication of data wrapped in security ensure right data to right people
Accelerate innovation
- Intelligent data placement optimizes for performance and costs
- Store and analyze data at the edge reducing the need to manually move data before analysis
- Consistent data security and data sovereignty across cloud and on-premises containers
- 57
lower cost for data analytics 1
- 52
less time per query, 20X more queries 2
- 30
higher productivity for analytics teams 3
Use Cases for HPE Ezmeral Data Fabric
Analyze 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
Modern data infrastructure
- Accelerate time to insights with 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
Single autonomous infrastructure spans edge to cloud. Global namespace enables multiple teams and applications to share data sets located on the same system. Low-latency database enables operationalizing data analytics.
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.