EGUIDE:
This expert resource serves as your full guide to object storage implementation, with cloud workload, sync-and-share, API-accessible storage, and more use cases examined. Download now to gain full access, learning how object storage maintains the unstructured data deluge, and view an object vs. file vs. block storage bake off.
EGUIDE:
In this e-guide, learn the difference between hyperconverged and converged infrastructure, four common data problems that can be solved with hyperconvergence as well as how to avoid vendor lock-in.
CASE STUDY:
Air France short-haul and regional brand Hop jumps to Pure Storage after coming up against Dell EMC, NetApp and HPE, which all tried to sell it solutions ill-suited to its needs.
EGUIDE:
Whether physical servers or VMs, there are a number of places where data is held up. Accordingly, there are different ways to address each type of bottleneck—but each fix has side effects. Learn how to mitigate the virtual server bottlenecks your enterprise faces, and tune up your data storage with an all-flash system.
EBOOK:
In this buyer's checklist, learn how hyper-converged systems differ from traditional storage systems and find insights into some of their unique features, as well as guidance for evaluating, purchasing and deploying these systems.
EGUIDE:
This exclusive eGuide addresses how to meet some of the challenges brought on by VDI such as: meeting user expectations for performance, having the ability to reduce operational expenses, meeting capacity demands as well as delivering consistent and predictable performance throughout.
VIDEO:
Watch this brief video to discover a storage strategy that can solve these that helps solve your most difficult storage issues. Tune in to learn how you can implement that strategy in your business.
WEBCAST:
Evaluator Group Senior Strategist Randy Kearns and VP of Marketing at WekaIO Barbara Murphy dig into this question in this custom webcast; they also examine a high-performance storage system that provides the parallel data access, architecture for multiple data types, and flexible scalability that ML and DL workloads require.
