In this slidecast, Nicos Vekiarides from TwinStrata presents: TwinStrata CloudArray 4.5 with DRaaS. The new offering is an on-demand disaster recovery as a service (DRaaS) for VMware users.

Whether your goals are to increase storage capacity, improve off-site data protection, implement disaster recovery or all three of the above, TwinStrata CloudArray is the most comprehensive storage solution available today,” said Nicos Vekiarides, CEO of TwinStrata. “TwinStrata has made great strides in delivering enterprise-class functionality at a fraction of the cost typically required of storage solutions. What’s exciting is CloudArray 4.5 enables organizations to enjoy a full business continuity plan without the need for backup software or a dedicated disaster site– a once unthinkable proposition.”

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In this slidecast, Ken Claffey from Xyratex describes the company’s new ClusterStor 1500 storage system. Designed for scale-out HPC storage solutions, the ClusterStor 1500 delivers HPC performance and efficiency with help from the Lustre file system.

Departments within larger organizations or medium-sized enterprises today, especially in the commercial, academic and government sectors, represent an underserved market. They need high-performance and scalable storage solutions that are cost-efficient, easy to deploy and manage and reliable even under heavy workloads,” said Ken Claffey, senior vice president of the ClusterStor business at Xyratex. “Growth in this market segment is being driven by the increasing adoption of simulation applications in a wide range of industries from car and aircraft design to chemical interactions and financial modeling. Traditional enterprise storage systems are simply not designed to meet the performance needs of these applications, so we engineered and built the affordable and modular ClusterStor 1500 to bring the performance power of Lustre to this underserved and growing market in the way that only ClusterStor can.”

With the ability to scale performance from 1.25GB/s to 110GB/s and raw capacity from 42TB to 7.3PB, ClusterStor 1500 is purpose-built to satisfy data intensive department level compute cluster needs, ClusterStor 1500 is designed to provide best in class scale-out storage for middle tier high performance computing environments. The ClusterStor 1500 solution features scale-out storage building blocks, the Lustre parallel filesystem and a comprehensive management platform that eliminates the guesswork usually associated with building and optimizing your own HPC storage solution.

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In this slidecast, Justin Erickson from Cloudera presents a technical overview of Cloudera Impala, an SQL-on-Hadoop solution that enables users to do real-time queries of data stored in Hadoop clusters.

To avoid latency, Impala circumvents MapReduce to directly access the data through a specialized distributed query engine that is very similar to those found in commercial parallel RDBMSs. The result is order-of-magnitude faster performance than Hive, depending on the type of query and configuration.

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In this slidecast, Chris Matty from Versium describes the company’s Real-Life Data Intelligence Platform.

In consumer marketing, LifeData allows ever-narrower segmentation of customers and therefore much more precisely tailored products or services. Greater real life insights about people and businesses enable optimized communication strategies. Sophisticated analytics can predict behavior and greatly improve decision-making. LifeData can make existing applications more intelligent and enable entirely new ones. Versium’s powerful data intelligence platform enables all of this and more.”

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In this slidecast, Guy Fraker presents: get2know – Big Data for the Shared Economy.

With shared rides, cars, bikes, and even rooms, the issue of trust is huge. The folks at get2know have a developed a “Trust Engine” that uses Big Data to help you decide who you trust to share your stuff. Amazing!

As we build out to scale, we’ll provide a playground for alliance partners to reward consumers who utilize shared services in postive ways. We will deliver a searchable aggregated view of shared economy providers WITH utilization incentives. By doing both in a single view, using single sign-on, we provide an economic reason to be scored. We believe that by partnering with the Collaborative Consumption community, a market is created where no user asks, “ok- I got my score- now what?” get2kno is about creating a market, not building a platform.”

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In this slidecast, the Radio Free HPC team interviews Fritz Ferstl, CTO of Univa. Topics include Big Data, HPC, and the continuing convergence of both.

While what we think of as traditional HPC may differ greatly from Big Data analytics, that seems to be changing. With a long history in high performance computing and customers in both worlds, Ferstl shares his unique perspective on where the two worlds overlap and where the potential is greatest for synergy in the future.

This has to be our best show yet, so be sure to check it out.

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The post Radio Free HPC Fireside Chat – HPC Embraces Big Data appeared first on Inside-BigData.

Gorda recently wrote a post about the rapid growth of the Lustre community, so we started our discussion there and learned a good deal more about the popular file system.

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Big vendors are talking about FGPAs not only for appliances but for general-purpose systems as performance assists. Are we headed back to the future? The guys discuss the ins and outs of FGPAs and why, in some cases, they could be a huge win for the organizations that implement them. But is the architecture flexible enough? For enterprise and Big Data, perhaps it is. If you need to perform the same algorithms over and over again, FGPAs could be a perfect fit. As with all things tech, there are a few cautionary notes to be sounded. Amassing more and more appliances can lead down a tricky road. Will their use in workload-optimized systems lead to vendor lock-in? Can you really teach an old FGPA new tricks? And can they be weaponized?

Most importantly: how are servers like cattle? Tune in to find out…

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While it’s a powerful platform for analyzing large, static data sets, Hadoop has always been limited by its inability to perform analytics on live data,” said Bill Bain, ScaleOut Software CEO. “There is an increasing drumbeat for real-time analytics using Hadoop, and we’re excited to take an important step towards meeting that need with this release.”

ScaleOut hServer will be available in both a free community edition and in several commercial editions. The community edition enables up to a four-server combined Hadoop/hServer grid for analyzing memory-based data sets of up to 256GB. Read the Full Story or check out our podcast interview with Bill Bain.

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Note: The Big Data discussion begins at about the 7:45 minute mark.

By analyzing masses of information collected online, Netflix, Amazon, Google and others can figure out what you want and how much you’ll pay. But what’s called “Big Data” has many other uses as well — and there are risks, including invasions of privacy. Will Big Data stifle creativity and opportunity for innovation?

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