TECHNICAL ARTICLE:
View this post to learn about the four types of data abstractions that Windows Azure Storage (WAS) offers for applications developers: blobs, tables, queues, and drives. Then learn about how they are partitioned, the URIs for each, and their scalability targets.
WHITE PAPER:
This useful comparative guide will help you understand the current entry-level enterprise unified storage landscape. Read on to compare the benefits of different offerings, and find a solution that meets your current and future storage requirements.
EGUIDE:
This SearchStorage.com E-Guide dives deep emerging storage trends in 2012, including SSD, capacity optimization tools and unified storage. Read on to see what these technologies can do for your storage environment.
WHITE PAPER:
This white paper explains the benefits of a solution that combines the unique capabilities of flash storage and software-defined storage. By combining the easy management of software-definied storage with the scalable performance of flash, organizations can easily meet their growing storage requirements.
DATA SHEET:
This resource explores the various software options available on one leading vendor's solid state storage system that can increase storage efficiency, reduce administration time, offer advanced internal virtualization capabilities and much more.
CASE STUDY:
This brief white paper highlights the process that this healthcare organisation took toward more scalable storage, and the solution that brought benefits, including admin time for storage cut in half, critical data protection during a disaster, and much more.
EBRIEF:
In this expert briefing, veteran IT industry consultant Chris Evans drills into the specific challenges that storage managers face when implementing virtual desktop infrastructures, and provides practical tips to help guarantee a VDI project that meets expectations and delivers on its projected ROI.
WHITE PAPER:
Access this white paper to get an exclusive look at one vendor's storage system design that achieves performance and scale through common and narrow low-level interfaces to MicroArrays.