MAPR Data Platform Technologies | HPE

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DISTRIBUTED, CLOUD-SCALE DATASTORE WITH HPE EZMERAL DATA FABRIC Extend data fabric to create a cloud-scale datastore HPE Ezmeral Data Fabric is an exabyte-scale, global datastore for diverse data types of files and containers. HPE Ezmeral Data Fabric spans multiple edge, on-premises, and cloud environments and uniquely provides in-place analytics for operationalizing insights in real-time.

Benefits • Global access to a broad range of data types • Wide choice of infrastructure from flash to disks to cloud • Automatic multi-temperature distribution topologies • Exabyte scale-out design supporting up to trillions of files or objects • Self-healing operating model that assumes hardware failures are common • Robust management console provides ease of use for administrators

Access methods

• Unified management for globally distributed data • Multi-tenant security and access control model • Data protection and point-in-time recovery with unlimited instant snapshots

File folders

Container data

Custom file apps

Hadoop & Spark apps

Web apps

NFS

HDFS

POSIX basic

POSIX platinum

REST

Global namespace Multi-tenancy Data topologies

Compression quotas Cloud-scale resiliency

Unified security Trillions of files Filesystem

Snapshots Replication Auto-balance

Auto-rebuild Multisite mirroring Intelligent data distribution

Disk

Flash

Provision Configure Monitor Alert Visualize Measure Analyze

• Persistent datastore for container applications and analytics • Disaster recovery with mirroring to remote sites

Commodity server

Virtual machine

Edge

FIGURE 1. HPE Ezmeral Data Fabric overview

CLOUD-SCALE DATASTORE

Scale out

Data growth and variety of workloads are out-pacing the abilities of historical architectures. Changes in application data access requirements, the underlying hardware, software, data types, use cases, and cloud all which impact what is needed to be the storage and data management platform of the future. HPE Ezmeral Data Fabric is an exabyte-scale, global datastore built from the ground up to the demanding requirements.

Cloud

ONE GLOBAL NAMESPACE FOR ALL DATA Global namespace Edge

On-premises

Cloud

Silos help eliminate

The global namespace from HPE Ezmeral Data Fabric provides a consolidated view into files that are in separate clusters across multiple edge, on-premises, and cloud environments enabling development of new location-independent applications that can move across clouds smoothly.


Product brief

File folders

Container data

NFS

Custom file apps

POSIX

Hadoop & Spark apps

REST

Buckets & Objects

S3

Web apps

HDFS

HPE Ezmeral Data Fabric Cloud-scale datastore

High availability

Real time

Security & governance

Multi-tenancy

Disaster recovery

Global namespace

On-premises, Multicloud, Edge

FIGURE 2. Cloud-scale data fabric for files and containers

MULTI-TEMPERATURE DATA MANAGEMENT

Hot Warm Cold

Data aware HPE Ezmeral Data Fabric

Commodity

Public cloud

Deploy, execute

Hadoop & Spark Apps

HPE Ezmeral Data Fabric

NVMe

GPUs

Chat

Email

Call

Get updates

CLOUD-GRADE RESILIENT GLOBAL DATA FABRIC HPE Ezmeral Data Fabric is built with practically no architectural limitations to achieve scale. It can scale to thousands of hosts and clients across multiple racks. Clusters can connect to each other securely and create a global data fabric across geographically disperse locations including on-premises, at the edge, and multiple clouds. Both metadata and data are distributed and replicated, so no failure, hardware or software, will result in a loss of data or loss of access to data. Instant snapshots are atomic and consistent, preserving the data at a given point in time. Global mirroring orchestrated offers a robust and efficient way to keep the data well protected.

INTEGRATED ANALYTICS TO OPERATIONALIZE ANY DATA HPE Ezmeral Data Fabric combines analytics and operations into a single platform, enabling intelligent application development. It is an infrastructure-agnostic platform for intelligent applications allowing enterprises to immediately perform analytics with no data movement from both legacy sources and new unstructured data sources. Its native support for open APIs (HDFS, POSIX, and NFS) helps ensure availability of files, images, videos, objects, tables, and streams on one platform.

BUILT FOR THE WORLD OF GPUS AND NVME 3D XPoint

Architectures Make the right purchase decision. Contact our presales specialists.

HPE Ezmeral Data Fabric provides a single platform for multi-tier, multi-temperature, and multicloud data management. HPE Ezmeral Data Fabric enables placing a specified volume’s data in specific nodes or racks in a cluster. Volume topologies can be changed at any time with a simple command regardless of the size or location of the volume. The HPE Ezmeral Data Fabric topology movement helps ensure data is moved from one topology to another (example from hot SSD‑based nodes to warm HDD-based nodes) seamlessly and reliably without impact to any running applications. This enables automated data movement across various temperatures reliably.

HPE Ezmeral Data Fabric cloud-scale datastore is built for the new demanding applications and I/O patterns that are going to be commonplace with modern processing architectures such as GPU; and modern media architectures such as NVMe and 3D XPoint. HPE Ezmeral Data Fabric is built from the ground up to utilize the extremely fast media types and provide the I/O needed for applications such as real-time IoT operations, next-generation intelligent applications, augmented reality/virtual reality-driven research and applications, as well as deep analytics.

LEARN MORE AT hpe.com/info/data-fabric

© Copyright 2020 Hewlett Packard Enterprise Development LP. The information contained herein is subject to change without notice. The only warranties for Hewlett Packard Enterprise products and services are set forth in the express warranty statements accompanying such products and services. Nothing herein should be construed as constituting an additional warranty. Hewlett Packard Enterprise shall not be liable for technical or editorial errors or omissions contained herein. a50001585ENW, June 2020, Rev. 1


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