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Current Filter: Storage>>>>>> Big data - no big deal? Editorial Type: Opinion Date: 09-2014 Views: 2993 | |||
| Geoffrey Noer, VP, Product Management at Panasas offers a guide to high-performance NAS in an increasingly data-centric world Businesses are coming under growing pressure to utilise their data to give them a competitive edge. It is no surprise that more companies are looking to derive additional value from their data, be it research, financial modelling or designing. To store the sheer volume of data is just one headache, but the need to process it into something meaningful is another. Today, the high performance computing (HPC) specialists are driving the technologies that enable the handling of immense data volumes. They rely on their IT infrastructure as the core to their business. Failure to efficiently and cost-effectively address the challenges of data processing inhibits innovation and discovery - and ultimately for some companies, bottom-line financial results. So how do these specialists manage their high volume and high speed?
BIG DATA, BIG PRESSURES True scale out network attached storage (NAS) offers a seamless step to increasing capacity, as projects and demand grows. This scalability ensures protecting the company's initial storage investment if it can easily scale-out with no performance or management penalties. However, storing data is one thing - managing it is another.
PERFORMANCE, QUICK AS A FLASH
• Tier 1: Fast RAM Scale-out hybrid architectures with flash and hard drives are emerging to tackle a much wider set of workload requirements by addressing small file and large file workloads within a single integrated architecture. Handing mixed workloads with a wide variety of file sizes is critical to achieve high real-world performance. The proof point for this is that almost all technical workloads have a substantial component of small files., so having a hybrid platform makes economic and performance related sense. A proper architecture for storage components is only the foundation as large volumes of unstructured data must be quickly processed to accelerate workflows. To achieve maximum performance a scale-out storage architecture should incorporate as many performance elements as possible - while avoiding legacy NAS head approaches that serialise data access and limit linear scalability. The most effective scale-out NAS architectures will include some or all of the following:
• Parallel data transfer
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