Cisco UCS

September 28, 2015

DATA CENTER

Thinking Bigger! Cisco + IBM – Collaboration of giants brings industry-leading solution for big data analytics

2 min read

In December 2014, we announced VersaStack, an integrated infrastructure reference solution for enterprise applications that combines technologies from Cisco and IBM. Further extending this partnership, today we are announcing support for IBM BigInsights for Apache Hadoop on our Cisco UCS Integrated infrastructure for Big Data – an industry-leading platform widely adapted for enterprise big data application deployments. The joint […]

September 23, 2015

DATA CENTER

Part 2: Why not Initiate a “Save to Invest” Program for your Data Center?

3 min read

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 […]

September 22, 2015

DATA CENTER

Enhancing the Splunk experience with Cisco UCS

2 min read

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 ?

September 19, 2015

DATA CENTER

The Value Cisco Brings to Tableau

2 min read

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 […]

September 15, 2015

DATA CENTER

Tales of a Fourth-Grade Something: Big Data with Cisco & Splunk at .conf & Strata

4 min read

Someone at a meeting recently told me how cool it was that big data was finally moving out of the early adopter phase. He’s lucky I wasn’t drinking a beverage at the time, or he might have ended up wearing it. I’m accused of being sort of a unicorn when it comes to the Big Data […]

September 9, 2015

DATA CENTER

Why not Initiate a “Save to Invest” Program for your Data Center? (Part 1)

3 min read

 As a Scot, I have a natural predisposition – almost a gene – for money saving initiatives!  As I’ve been researching new initiatives in my work for Cisco Services over the past few months, I’ve become aware of – for the first time I am ashamed to say in some cases – some huge sinks […]

September 1, 2015

DATA CENTER

Cisco, SAP and the Big-Data Revolution

1 min read

Cisco, SAP and the Big-Data Revolution   SAP just announced the release of SAP HANA Vora. SAP HANA Vora is an in-memory query engine that plugs into the Apache Spark execution framework to provide enriched interactive analytics on Hadoop. Cisco, provider of UCS Integrated Infrastructure for Big Data, is working with SAP to achieve the […]

August 27, 2015

PERSPECTIVES

#CiscoChampion Radio S2|Ep 33: does this rack server make my data look big?

1 min read

#CiscoChampion Radio is a podcast series by Cisco Champions as technologists. Today we’re talking about UCS and Big Data with Cisco Technical Solutions Architect Sean McKeown. Get the Podcast Listen to this episode Download this episode (right-click on the episode’s download button) View this episode in iTunes Cisco SME Sean McKeown, Cisco Technical Solutions Architect […]

August 11, 2015

DATA CENTER

Latest additions to the Cisco UCS M-Series Modular Server Portfolio

1 min read

Cisco UCS M-Series Modular Servers deliver exceptional value for online content delivery like gaming, web serving, transcoding, and HPC. Built around Cisco’s virtual interface card (VIC) technology and the policy-based management of UCS Manager, this new design brings the award-winning architecture and management of Cisco Unified Computing to the world of parallelized workloads.