Big Data Analytics is becoming an integral part of the enterprise IT ecosystem. In order to realize its full potential it must be integrated with traditional data management systems and analytics technologies (and in the near future with Internet of Everything). Today, Cisco and SAS is announcing joint solutions that deliver faster, more accurate insights and solve most complex business problems. Built up on our vision of shared infrastructure and unified management across enterprise applications, these solutions are designed to deliver high-performance compute, network, and storage access and cost effectively scale as your business demands. We are offering you the choice of three configurations to meet your business needs:
- Scale-out solution based on UCS Common Platform Architecture for Big Data powered by Cisco UCS C240 M3 Servers in which SAS Analytics coexists on the same cluster with Hadoop. This solution combines in-memory analytics capabilities of SAS Visual Analytics and cost effective storage and scaling of Hadoop – significantly lowering the TCO
- In-Memory real-time analytics solution powered by Cisco UCS B460 M4 Blade Server and C460 M4 Rack Server featuring Intel Xeon E7 V2 processor family that supports up to 60 processors cores and 6TB of memory enabling fast in-memory analytics, delivering up to 80 percent more performance and up to 80 percent lower total cost of ownership (TCO) than alternative RISC architectures1
- Traditional shared-storage based solution with Cisco UCS B200 M3 Blade Servers and Cisco UCS Invicta Series Solid State Systems or enterprise-class storage from Cisco partners where compute and storage components can scale independently.
For additional information please see the solution brief.
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