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Coho Data Delivering Converged Platform Based on Intel Technology and Big Data Analytics With Docker

At UBS AG

Coho Data Inc. is delivering a converged platform based on Intel Corp. technology to bring big data analytics directly to primary storage.

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Developed in partnership with UBS AG, this architecture unifies the traditionally separate enterprise storage and business intelligence (BI) environments, creating a dynamic, technology-agnostic foundation for big data operations and real-time analytics.

UBS AG strengthens its competitive stance by leveraging business intelligence derived from increasingly sophisticated analytics. The company’s IT group sought to maintain the functional benefits of a mature enterprise storage system, while incorporating BI tools into the system to perform analytics tasks efficiently on the enterprise data in situ. Through convergence of the traditionally separate enterprise storage and BI environments, the new architecture established a stronger, more resilient foundation for enterprise-scale, big data operations and real-time analytics.

Big data has massive potential, but today’s reality is that there are technical and operational barriers that introduce cost and complexity long before an organization even begins to work with their data,” said Andrew Warfield, co-founder and CTO, Coho Data. “Our container converged solution means that enterprises spend less time distracted with big data infrastructure, and enables them to focus the on real goal of extracting value from their data.

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Storage architecture for big data convergence
Until now, the hardware proiles of enterprise storage systems and big data servers have been very different: storage controllers were too compute constrained to bring compute closer to data, while big data implementations offered neither the features nor performance to provide general purpose storage. By combining Xeon processors, NVMe-based Intel SSDs and 40Gb software defined switching, this architecture presents a storage environment with ample compute to address big data processing in situ.

The Coho Data systems can expose the real potential of high-performance non-volatile memory technologies in balanced combination with Intel Xeon processors,” said Bev Crair, VP and GM, storage group, Intel. “By moving computation directly into the storage platform, Coho Data’s approach to enterprise IT architecture solves a real problem for the financial services industry.

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Ease of use speeds time to value
The container-integrated solution provides UBS is the ability for multiple tenants to quickly provision and deploy isolated big data environments directly within company’s enterprise storage system. New big data clusters may be instantiated in a matter of minutes, and are able to process data in a protocol and distribution-agnostic manner. Removing the friction associated with hardware procurement, data access and software configuration means an enormous improvement in time to value.

75% reduction in TCO
Coho’s architecture presents customers with the potential to realize a 75% reduction in the TCO for big data infrastructure. These savings are a result of improved density: there is no need to purchase separate physical infrastructure for big data servers or to cover the operational costs of power and cooling for an additional silo of datacenter hardware. In addition, storage integration removes obstacles associated with data movement, while containers simplify the configuration and deployment.

Software-Defined Storage Enables Agility and Faster Analytics

 

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