One of the hottest topics in the data center lately is around big data and the actual dollar value that businesses are deriving from making sense from tons of unstructured data. Virtually every field is turning to gathering big data, with mobile sensor networks, cameras everywhere, and information archives. New techniques are being developed that can mine vast stores of data to inform decision making in ways that were previously unimagined. The fact that we can derive more knowledge by recognizing correlations can inform and enrich numerous aspects of every day life.
Cisco is partnering with leading software providers to offer a comprehensive infrastructure and management solution, based on Cisco Unified Computing System (UCS), to support our customers’ big data initiatives. Taking advantage of Cisco UCS’s Fabric based infrastructure, Cisco can apply significant advantage to big data workloads.
There are actually many advantages to hosting big data applications on Cisco UCS infrastructure. With UCS, Cisco offers a balance of performance, management and scale that sets UCS apart from other industry solutions. Although we’ll be discussing the benefits in more detail at Cisco Live next week, here is a sneak peak of what you can expect:
Reason #1 to deploy Cisco UCS for your big data analytics: Form factor independence and administrative parity.
Cisco UCS provides a single point of management for the overall infrastructure—whether it’s blade architecture on the enterprise application side or rack architecture on the big data side, including troubleshooting, monitoring, and alerting capabilities. Customers can proactively monitor the system and keep operational costs down.
In other words, Cisco UCS Rack Servers can be managed the same way as UCS Blade servers with full workload mobility across both blades and racks. This simplifies the management construct and eliminates the need for additional management silos in the data center. This form factor independence is made possible by Cisco Unified Fabric with single wire management and Cisco Unified Management that includes UCS Manager with Service Profiles.
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Tags: Big Data, blade server, Blade Servers, Cisco UCS, Cisco Unified Computing System, Cisco Unified Data Center, Cisco Unified Fabric, Cisco Unified Management, rack server, UCS Manager, UCS service profiles
Recent results clearly reinforce the growing understanding that Cisco has unleashed a more highly evolved and effective solution into the computing ecosystem. While the principles outlined by Charles Darwin in Origin of the Species can stir controversy, I find them to be an accurate model for technology evolution and quite useful for describing how we’ve arrived at this latest watershed in the x86 server market.
Our first observation would be the extremely rapid rate of customer adoption for Cisco’s Unified Computing System (UCS). Darwin would tell us that there must be significant advantage in “fitness to purpose” inherent to UCS that have driven this velocity. This is certainly true. Looking back at where we’ve been and how we’re positioned to go forward, here are key factors I see at play that create these advantages for UCS adopters:
- Primitive incumbents in the server industry attempted converged infrastructure by choosing to combine compute and storage first. Cisco chose to converge compute and fabric first. This is a critical threshold event because it turns out that most optimizations for virtualization and cloud are fabric-oriented. With our Virtual Interface Cards we made server NICs and HBAs part of the fabric, not part of the server, a significant mutation in computing design. Further, Cisco abstracted every single identity and configuration element for servers, network access and storage into a programmable software model -- inventing fabric computing with stateless servers. Simple. Flexible. Resilient. Advantage: UCS
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Tags: Big Data, Cisco UCS, cloud, Convergence infrastructure, Darwin, data center, Gartner, nexus, tco, x86
On June 20th, Cisco and MapR will join with Forrester Research Big Data analyst Mike Gualtieri to discuss “productionizing” Hadoop. But what does it mean?
Mike has developed a list of 7 architectural best practices that will help your enterprise quickly, and easily develop or move your Hadoop environment into standard data center processes. Following his guidelines, your can get your Hadoop environment up and running in no time, saving time by being proactive on the headaches and pitfalls that are unique to Big Data environments.
Joining Mike will be MapR CMO, Jack Norris discussing their best practices and how they line up with the Big 7 from Forrester.
Finally, Cisco IT will showcase a MapR production environment and how they have streamlined the complex Big Data workloads, automatically moving data into and running analytics out of their Hadoop environment.
Keeping the Hadoop production environment up and running smoothly is the name of the game here and in the face of resource constraints, Cisco IT has standardized on Cisco Tidal Enterprise Scheduler—with its seamless integrations into MapR, Hive, and Sqoop—giving your enterprise the ability to “productionize” complex workloads from any data source.
Join us as we walk you through the 7 architectural best practices for Big Data, MapR and Cisco Tidal Enterprise Scheduler.
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Tags: Big Data, cisco live, forrester, Hadoop, MapR, Tidal Enterprise Scheduler, unified management, workload automation
Over a decade ago, I started thinking about what life would be like with connected cars. Erratic drivers, speeding tickets and unfavorable weather could be avoided while driving. I read an article recently that takes a more in-depth look at the future of connected driving titled, Big Data: When Cars Can Talk by Jeff Bertolucci of InformationWeek. It begs the question: how can connected roads, cars and drivers make for a safer traveling experience?
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Tags: Big Data, car, cars, Cisco, connected car, data in motion, Information and Communications Technology, Internet of Everything, internet of things, IoE, IoT, network infrastructure, Smart + Connected Communities, smart connected vehicles
Wi-Fi networks seem to now be everywhere. Once primarily confined to the home or office, we now expect Wi-Fi access in coffee shops, hotels, airports, stores and even in sport stadiums. Not only are these Wi-Fi networks providing valuable Internet access to appreciative mobile users, they are collecting massive amounts of useful information. Innovative businesses and operators are now learning how to unlock this valuable information to turn Wi-Fi networks into key enablers of business value. We have identified eight technical characteristics of Wi-Fi networks that can help to deliver real value to the bottom-line:
1. Recognizes All Wi-Fi Enabled Devices
Recent research by Cisco IBSG shows that consumers have an average of 2.6 mobile devices, most of which are now Wi-Fi enabled. These devices are constantly signaling of their existence to Wi-Fi networks. As a result, Wi-Fi access points are constantly collecting information on these devices and the movements of their owners without users having to authenticate on the network. This means that venues are collecting information on a large number of people at an – effectively anyone who enters with a Wi-Fi activated mobile device in his pocket. However, this does not raise personal privacy issues because only the MAC address of the device is collected and the information is aggregated across all users.
2. Hyper-Sensitive Location Read More »
Tags: Big Data, Cisco, data analytics, IBSG, mobile, mobile data, mobile devices, mobile networks, monetization, Service Provider, wi-fi