Solving Big Data Challenges with Multi-Cloud Data Services for Dell EMC PowerScale
This Technical Review documents ESG's audit of testing performed with Dell EMC PowerScale for Multi-Cloud, a part of the Multi-Cloud Data Services for Dell EMC PowerScale, enabled by Faction, a multi-cloud data services provider. Testing was designed to demonstrate how the solution maximizes performance and scalability of cloud-based workloads requiring the use of large data sets. We focused on genomics processing as our use case to illustrate how the solution can maximize workload performance and availability while controlling overall cloud-related costs.
Learn more about Dell Technologies solutions powered by Intel®.
Read More
By submitting this form you agree to Dell Technologies contacting you with marketing-related emails or by telephone. You may unsubscribe at any time. Dell Technologies web sites and communications are subject to their Privacy Notice.
By requesting this resource you agree to our terms of use. All data is protected by our Privacy Notice. If you have any further questions please email dataprotection@techpublishhub.com
Related Categories: Analytics, Applications, Artificial Intelligence, Big Data, Cloud, Cloud Platforms, Cloud Storage, Connectivity, Data Analytics, Data Center, Data Centers, Data management, Data Storage, Disaster Recovery, ERP, Hardware, Machine Learning, Network, Server, Service Providers, Software, Storage, Storage Systems
More resources from Dell Technologies
Forrester: The Balanced Security Imperative
Balanced security requires firms to transition from treating privacy and data security as compliance requirements to one that champions privacy and...
The Impact of Accelerating Storage and Data P...
ESG recently surveyed 2,000 IT decision makers to understand whether, and to what degree, organizations' comprehensive technology transformations a...
Block by Block: Building for an App-Centric F...
Dell Technologies and AMD
The future is being written inside applications. This is where consumer demands are met, internal efficiencies are ...
