A little over a year ago, we began shipping Cisco Application Centric Infrastructure (ACI).
Yesterday, Chuck Robbins tweeted that we hit our 1000th customer – Danske Bank, the largest financial institution in Denmark.
Our fast momentum and success with the Nexus 9000 (N9K) and ACI is largely due to our continued focus on customer needs – both now and well into the future. And our broad ecosystem of industry leaders has been and is committed to deliver integrated solutions for our mutual customers.
Just a little over three years ago, the team behind the N9K and ACI – Insieme Networks – began by listening to a variety of customers on what their business requirements were at the time and into the foreseeable future. What we learned is that modern enterprises were looking for an application-centric approach using open standards to deliver today’s business services.
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Tags: #CiscoACI, #ciscodatacenter, ACI, Application Centric Networking, Cisco, Cisco SDN, data center, innovation, nfv software defined network
Two weeks ago, in my previous blog, I invited you to consider ways in which you could initiate a “Save to Invest” program for your data center. That is, how can you save money from your current data center spend, in order to re-invest it into currently un- or -under-funded areas of your data center. Thanks to those of you reading who made some comments on Part 1 – good points were raised!
Last time, I discussed my first 3 tips, as follows:
(1) Identify, Turn Off and Remove Idle Servers
(2) Identify Un-used Enterprise Software Applications: Reduce Your Software Costs
(3) Get Rid of Dead Weight – Execute a Server Refresh
Save Some Money for Your Data Center!
Let’s now discuss two additional savings, which in fact can in many cases result in even larger financial savings:
(4) Optimize your Software Licensing, and
(5) Avoid un-budgeted spend – Critical if you have an Unlimited License Agreement (ULA)
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Tags: application, application portfolio, application rationalization, architecture, asset utilization, Cisco UCS, cost saving, data center, data center modernization, data_center, license management, refresh, simplification, software asset management
Analytics will continue to take center stage as the volume of data generated by embedded systems increases and vast pools of structured and unstructured data within and outside the enterprise are analyzed. — Gartner
Big Data will continue to be important, but it’s critical to first understand how businesses can quickly gather relevant insights from their big data. The value is in unlocking key takeaways from the data because these insights can be used for agile decision-making and faster time-to-market approaches. Discovering better business insights quickly requires the combination of software and hardware that is optimized for speed, scale, and flexibility. And that is exactly what you get when you combine Platfora and Cisco UCS.
When Platfora runs on Cisco UCS, business analysts can find these patterns in minutes or hours rather than months. For example, our joint customer was able to identify exactly what factors impacted their customer experience using the Platfora solution which was deployed in 1/10th the time and cost of traditional approaches.
Platfora enables users to analyze petabytes of data at scale and leverages the latest cutting-edge technologies such as Spark and YARN (MapReduce 2.0). The Platfora end-to-end platform replaces the need for ETL, Data Warehousing, and BI tools. And the combination of Platfora and UCS ensures that there are no performance, scalability, or TCO tradeoffs as we add new data discovery joint use cases. This joint solution is truly designed for enterprise-scale analytics.
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Tags: BigData, CiscoUCS, data center, ETL, Platfora, Spark, Strata Hadoop, tco, YARN
According to scientists, the age of smartphones has left humans with such a short attention span that even a goldfish can hold a thought for longer. On an average, human attention span has fallen from 12 seconds in year 2000 to 8 seconds in today’s smart-world.
What does this mean for Splunk Enterprise ? Read More »
Tags: analytics, Big Data, Cisco UCS, data center, Integrated infrastructure, Splunk, Splunk Enterprise, Splunkconf, UCS, ucsbigdata
Guest Blog by Ron Graham
Ron Graham had served as a Data Center Architect and Systems Engineer for some of the largest IT companies in the U.S. including Cisco Systems, NetApp, Sun Microsystems, and Oracle. He is currently working for Cisco Systems as a Big Data Analytics Engineer.
What is Data Virtualization? Our definition is: Agile data integration software that makes it easy to access all your data no matter where it’s managed, and query it across the network as if it were in a single place. I like to say it differently – the real value lies in its ability to provide business users with a single high-level view of data that is spread across their infrastructure.
Data Virtualization is essentially middleware software that leverages a high-performance query engine and can utilize advanced computer architectures such as Cisco UCS. It’s a virtual data integration layer that can deliver data from multiple sources that are loosely coupled or have little or no knowledge of the other components. Of course this is done in a logically organized manner as show by the diagram below.
This is all nice but where is the beef, or the sex appeal? The sexy part is in the front-end business intelligence platforms and data visualization tools that can access and analyze data such as Tableau. Tableau can simply access data through the Cisco Data Virtualization with an ODBC driver. From here, business users can query data on demand from a single point of access (i.e. a common data model) without having to understand the different schemas or SQL dialects of the original data sources.
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Tags: Big Data, Cisco, Cisco UCS, data center, Hadoop, Strata Hadoop, Tableau