With enough hype to rival even the most popular of Superbowl’s, Big Data experts will converge on New York City in just a couple weeks! But big data has good reason for all the hype as businesses continue to find new ways to leverage the insights derived from vast data pools that are continuing to grow at an exponential rate. A big reason for this is the ability to leverage Hadoop with the Hadoop Distributed File System and MapReduce functionality to analyze the data very quickly and provide incredibly fast queries that, although not even possible previously, can now be accomplished in minutes or less. We’ve only just begun to scratch the surface in terms of the financial returns made around Hadoop and the infrastructure to support Hadoop deployments but one thing we do know, it’s going to be big and it will continue to get bigger!
So how does Cisco fit into this picture?
Cisco is partnering with leading software providers to offer a comprehensive infrastructure and management solution to support customer big data initiatives including Hadoop, NoSQL and Massive Parallel Processing (MPP) analytics. Leveraging the advantages of fabric computing, the Cisco UCS Common Platform Architecture (CPA) delivers exceptional performance, capacity, management simplicity, and scale to help customers derive value more quickly and with less management overhead for the most challenging big data deployments.
Cisco UCS Common Platform Architecture for big data enables rapid deployment, predictable performance, and massive scale without the need for complex layers of switching infrastructure. In addition, the architecture offers unique data and management integration with enterprise applications hosted on Cisco UCS. This allows big data and enterprise applications to co-exist within a single management domain that simplifies data movement between applications and eliminates the need for unique technology silos in the data center. You can also check out my previous blog, Top Three Reasons Why Cisco UCS is a Better Platform for Big Data, to get an idea of what we’ll be sharing at the show.
Have you considered Cisco UCS for your Big Data projects? I’d like to invite you to come and hear more in a couple weeks at Strata Hadoop World in New York City. We’ll have a number of demos and experts on hand to answer all of your questions.
In addition, Cisco and Cloudera are teaming up to offer you a chance to win some exciting prizes by joining our demo crawl program. Stop by either the Cisco booth (#3) or the Cloudera booth (#403) to learn more.
Stop by and say hello and let me know if you have any comments or questions, or via twitter at @CicconeScott.
Tags: Big Data, blade server, Blade Servers, Cisco UCS, Cisco Unified Computing System, Cisco Unified Data Center, Cisco Unified Fabric, Cisco Unified Management, Cloudera, Hadoop, Hortonworks, Intel, MapR, rack server, UCS Manager, UCS service profiles
Big Data has become mainstream as businesses realize its benefits, including improved operation efficiency, better customer experience, and more accurate predictions. However, companies are often challenged by the complexities of traditional server solutions.
In this webinar, learn how to unlock the value of Big Data with the Cisco Unified Computing System (Cisco UCS). Cisco UCS delivers the performance, capacity, management simplicity, and scale that businesses need to increase agility, speed time to value, and deliver a competitive advantage to increase revenue.
Our one-hour technical presentations will demonstrate how to build elements of the Cisco Unified Data Center platform. We will show you how to design your infrastructure and management for traditional and virtualized environments. You’ll also learn about available services to help deliver it.
To attend, please click the “ATTEND” link below:
Hope you can join us and let me know if you have any comments or questions, or via twitter at @CicconeScott.
Tags: Big Data, blade server, Blade Servers, Cisco UCS, Cisco Unified Computing System, Cisco Unified Data Center, Cisco Unified Fabric, Cisco Unified Management, Hadoop, rack server, UCS Manager, UCS service profiles
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
This guest blog post is brought to us from Microsoft author: David Hobbs-Mallyon, Senior Marketing Manager for Business Platform Solutions, Microsoft Corporation
Many IT Executives today are under increased pressure to deliver business results and provide competitive advantage to their organization by helping to drive innovation.
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Tags: Cisco UCS, EMC, Fast Track 3.0, Microsoft SQL Server, Microsoft SQL Server R2 Fast Track Data Warehouse 3.0, netapp, SQL Server 2008R2, UCS service profiles
Few days back I blogged about how FlexPod for VMware is a great solution that can accelerate your cloud journey and help move beyond 30% virtualized datacenter (Test & Dev workloads, infrastructure servers, web servers etc.) to virtualizing enterprise applications (e.g. Microsoft, Oracle, SAP etc.), and finally -- implement a fully automated IT as a Service solution.
In lot of customer environments, Microsoft applications (e.g. Exchange, Sharepoint, and SQL Server) support a good portion of mission critical business operations. These Microsoft applications have traditionally been hosted on siloed, underutilized IT infrastructure and operational processes that were built based on the requirements of individual applications and processes. The end result is increased total cost of ownership and inability to help business be more agile, introduce new services, and achieve operational efficiency.
Here are some of the key operational benefits to virtualizing Microsoft Apps on FlexPod for VMware:
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Tags: Cisco ACE, Cisco WAAS, CiscoUCS, cloud, deduplication, efficiency, ESMT, Exchange, FlexPod, netapp, nexus, Secure Multi-tenancy, Sharepoint, SQL Server, UCS service profiles, VAAI, virtualization, VMware SRM, VMware vSphere, VSC