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Partner Voices: Removing Risk, Lowering Cost – The MCPc & Cisco Partnership

December 11, 2013 at 7:28 am PST

As part of our ongoing Partner Voices blog series, we had the opportunity to hear from MCPc. During the past 11 years, MCPc has bet long on Cisco, using networking, switching, telepresence, and digital media tools within its own business and in the outstanding help for the business of its clients.

For example, since the beginning of 2013, MCPc has used Cisco Telepresence internally for more than 4,320 hours of cumulative communication. That is more than 180 full days of time. Most MCPc associates have Jabber on their mobile devices, and their local media is paying attention to the ways in which MCPc has implemented Cisco throughout the company. But MCPc does more than just make its own travel schedule easier for employees – it has enabled clients to take advantage of Cisco’s full breadth of offerings. Read More »

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Big Data in Security – Part III: Graph Analytics

TRACFollowing part two of our Big Data in Security series on University of California, Berkeley’s AMPLab stack, I caught up with talented data scientists Michael Howe and Preetham Raghunanda to discuss their exciting graph analytics work.

Where did graph databases originate and what problems are they trying to solve?

Michael: Disparate data types have a lot of connections between them and not just the types of connections that have been well represented in relational databases. The actual graph database technology is fairly nascent, really becoming prominent in the last decade. It’s been driven by the cheaper costs of storage and computational capacity and especially the rise of Big Data.

There have been a number of players driving development in this market, specifically research communities and businesses like Google, Facebook, and Twitter. These organizations are looking at large volumes of data with lots of inter-related attributes from multiple sources. They need to be able to view their data in a much cleaner fashion so that the people analyzing it don’t need to have in-depth knowledge of the storage technology or every particular aspect of the data. There are a number of open source and proprietary graph database solutions to address these growing needs and the field continues to grow.

Graph Read More »

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Accelerating the Performance of Graphics-Intensive VDI

The VDI landscape is increasingly evolving to embrace virtual desktops that look, perform, and respond like their physical predecessors.  Whether it’s application responsiveness with low latency across the network, or high-performance storage with expansive IOPS capacity that mirrors  the native experience on one’s desktop/laptop, implementers and users expect their virtual desktops to behave akin to physical.

These technological achievements have led to increasingly successful virtual desktop deployments for knowledge workers and task workers, but not so much so for users of 3D graphics applications traditionally running on high-end dedicated graphics workstations.  Across many industries and verticals like Manufacturing/Design, Higher Ed, and Healthcare, you’ll find end users needing access to immersive 3D graphics applications.

Cisco, Citrix and NVIDIA are pleased to be at the forefront of extending the applicability of VDI for graphics-intensive use cases, enabled by our jointly validated solution architectures based on Cisco Unified Computing, NVIDIA GRID™ vGPU™ and Citrix XenDesktop.  This joint solution offers affordable, scalable performance for graphics-intensive VDI use cases, built on an optimized computing infrastructure from Cisco.  Cisco Unified Computing System (UCS) is the foundation of Cisco Desktop Virtualization Solutions. Cisco UCS provides an end-to-end, service-and-application optimized platform for mobile, virtual workspaces.  The embedded NVIDIA GRID solution enables GPU sharing without sacrificing application compatibility or the user experience. Citrix XenDesktop and XenApp deliver desktops and applications as on demand services that tap into the benefits of GPU resources.  With our combined desktop virtualization solution, we’re expanding the utility, reach and performance of VDI.

Learn more about Cisco, Citrix and NVIDIA joint solutions for immersive 3D graphics in virtualized environments by checking out this helpful Solution Overview

For more information on NVIDIA GRID™:

NVIDIA GRID™ vGPU™ – www.nvidia.com/vgpu
NVIDIA GRID™ main website – www.nvidia.com/vdi
NVIDIA GRID™ K1 & K2 boards -http://www.nvidia.com/object/grid-boards.html

For more information on Cisco Desktop Virtualization Solutions with Citrix:  www.cisco.com/go/citrix

 

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Amcom, Gen-i and Westcon honoured at Cisco ANZ Marketing Awards

As part of the annual Australian and New Zealand Cisco marketing forum, yesterday we hosted the  2013 Marketing Awards which recognise our partners who are developing and executing the most innovative and exciting marketing cross-promotions with Cisco.

This year there were three categories: Enterprise & Public Sector, Commercial and Distributor with the partners and respective campaigns being judged against the following criteria:

  • Effective utilisation of resources for initiatives
  • Creativity and innovation
  • Measurable business impact
  • Alignment of campaign to Cisco’s own marketing

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A Room with a View (of Crucial Big Data Insights)

What’s the problem with Big Data? You guessed right — it’s BIG.

Big Data empowers organizations to discern patterns that were once invisible, leading to breakthrough ideas and transformed business performance. But there is simply so much of it, and from such myriad sources — customers, competitors, mobile, social, web, transactional, operational, internal, external, structured, and unstructured — that, for many organizations, Big Data is overwhelming. The torrents of data will only increase as the Internet of Everything spreads its ever-expanding wave of connectivity, from 10 billion connected things today to 50 billion in 2020.

So, how can organizations learn to use all of that data?

The key lies not in simply having access to enormous data streams. Information must be filtered for crucial, actionable insights, and presented to the right people in a visualized, comprehensible form. Only then will Big Data transform business strategies and decisions. In effect, Big Data must be made small.

However, as McKinsey & Co. reported, many organizations don’t have enough data scientists, much less ones who understand the business well enough to draw conclusions. The trick is to get the scientists together with the experts who understand the business levers driving the organization. Put them in a room with the right tools, and watch the synergy fly.

But what sort of a room?

big_data_room_10_new

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