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Data Growth and Environmental Sustainability

Pure Storage

This is largely due to growing mobile and cloud-computing traffic, as well as expanding development and adoption of technologies, including IoT and AI. Unstructured data is growing at an exponential rate, propelling the need for more storage capacity. Adopting quality-driven manufacturing processes.

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The 20 Best Cloud Disaster Recovery Solutions to Consider for 2022

Solutions Review

Druva cloud platform is built on AWS and offered as a Service , provid ing accessible, scalable , and autonomous enterprise data resiliency. Druva customers can reduce costs by eliminating the need for hardware, capacity planning, and software management. Expedient is a part of a network of 11 data centers across the country.

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The 20 Best Disaster Recovery as a Service Providers for 2022

Solutions Review

Druva cloud platform is built on AWS and offered as a Service , provid ing accessible, scalable , and autonomous enterprise data resiliency. Druva customers can reduce costs by eliminating the need for hardware, capacity planning, and software management. Expedient is a part of a network of 11 data centers across the country.

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How Azure Table Storage Stacks up to Other Microsoft Database Solutions

Pure Storage

How Azure Table Storage Stacks up to Other Microsoft Database Solutions by Pure Storage Blog Azure Table storage is a key component of Microsoft’s cloud computing platform that offers businesses unparalleled scalability, flexibility, and cost-efficiency in managing vast amounts of data. What Is Azure File Share?

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How Inflation Impacts Business Technology… and What to Do About It

NexusTek

Managed service providers and value-added resellers (VARs) typically have such leverage with technology manufacturers, allowing them to secure better rates for customers than they can on their own. Consider Cloud Computing. A thorough cost assessment can often reveal tens of thousands of dollars of overspending, if not more.

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On-demand Scalability and Data Security for EDA Tools

Pure Storage

Electronic design automation (EDA) and manufacturing processes require numerous high performance computing (HPC) workloads that consist of simulations, physical design, and verification to tape out workflows. The chip design workloads vary from high metadata IO operations (IOPs) to high bandwidth in a high file count environment.