#CiscoChampion Radio is a podcast series by Cisco Champions as technologists. Today we’ll be talking about the Cisco UCS E-Series with Cisco Technical Marketing Engineers Kishan Ramaswamy and Tony Banuelos.
Listen to the Podcast.
Learn about the Cisco Champions Program HERE.
See a list of all #CiscoChampion Radio podcasts HERE.
Kishan Ramaswamy, Cisco Technical Marketing Engineer
Tony Banuelos, Technical Marketing Engineer
Cisco Champion Guest Hosts
Michael Aossey, @aossey, Solutions Architect
Chris Nickl, @ck_nic, Cloud Infrastructure Architect
Jonathan Davis, @subnetwork, Network Planning Analyst Read More »
Tags: #CiscoChampionRadio, E-series, UCS
You know the code, “what happens in Vegas, stays in Vegas”. I’m breaking it. I’ll be joining my Cisco colleagues for COLLABORATE 15 in Las Vegas, but will be sharing all the good stuff we have planned. Even worse, I’ll be taking pictures.
Before you judge, take note of what I’ll be sharing (you would too).
Cisco UCS has earned 37 world records running Oracle database and workloads. Want blazing performance for Oracle E-Business Suite and PeopleSoft without breaking the bank? Cisco UCS delivers. Seriously, this kind of news can’t stay in Vegas.
I’m also looking forward to the preconference bootcamp on Oracle Virtualization and Licensing on April 12th. Dave Welch, CTO and Chief Evangelist with House of Brick Technologies will be joined by Cisco’s John McAbel for a 4 hour deep-dive to help you plan your Oracle deployments and lower licensing costs. Here’s a secret registration tip, send an email to email@example.com to add the bootcamp to your schedule.
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Tags: data center, Oracle, UCS, Women in Technology
No longer just the domain of gamesters and young-at-heart, the graphics industry is now providing stunning performance to all sorts of industries such as manufacturing, finance, healthcare and design. Perhaps none more so though than the Oil and Gas Industry, as companies explore in harder-to-get-at places and dangers to workers are greater than ever. The GPU Technology Conference in San Jose this week showed how far we’ve come in accelerating energy discoveries with less time spent travelling to far off dangerous environments.
So what’s it all about? Well, for starters four partners – Cisco, NetApp, NVIDIA and Citrix have got together to change the way users of high performance graphics applications can be used in remote and local environments. Normally geophysicists and geoscientists using, say, Schlumberger or Halliburton seismic analysis software use powerful (but expensive) workstations or have to work close to large central datacenters to get the kind of performance they need to get their applications running fast enough and their graphics visualizations looking smooth and not jittery.
That’s where the four partners come in. Putting it simply Cisco and NetApp provide a best-in-class virtualized data center with ‘Flexpod’, then NVIDIA provide high-performance GPUs (Graphics Processor Units) that slot into the Flexpod (remember it’s based on Cisco UCS so have heaps of flexibility), and then remote users can access their graphics applications on inexpensive devices (even tablets!) using VDI (Virtual desktop infrastructure) software from Citrix. This is on show in various places in the Exhibit hall, including Cisco’s booth # 219.
What does it all mean? Well, for starters, really fast loading of the datasets – no waiting around in the break room for ages! Also – remote access to the analysis of the data – so the data never leaves the datacenter so better security. Add to that the possibility that scientists can now work together using Cisco and other collaboration tools, and productivity just got a shot-in-the-arm. The demo stowed the applications running remotely – performance was indistinguishable from running locally on expensive and cumbersome workstations or on local datacenters!
Folks at the booth were impressed. “Wow – that’s graphics visualization and analysis on steroids'” said one visitor. “We could really use that where I work” said another (yes, we’ll be following that one up!).
Other highlights today were Cisco presenting the benefits of UCS to a sizable audience, and Dassault Systems, an accomplished Cisco UCS user, talking about how they use NVIDIA GRID and CISCO UCS for Graphics Virtualization. Laurent Seror, Founder and CEO, Outscale, presents. Tomorrow we’ll hear from the Ford Motor Company with a presentation entitled ‘So you want to Deploy High Resolution Graphics Desktop Virtualization’. Chip Charnley, Technical Expert, Client Technologies, Ford Motor Company will review both the process of doing, and the results of the Proof of Concept for implementing XenApp and XenDesktop that was conducted jointly by Ford Motor Company, Citrix and Cisco. Read More »
Tags: citrix, Dassault, Energy, FlexPod, Ford, Graphics visualization, GRID, netapp, NVIDIA, UCS, vdi, xendesktop
Big data and analytics are changing the competitive playing field. Winners will find ways to turn unprecedented growth and complexity of big data, cloud, IoT devices and more into competitive advantage.
The Value of Big Data Integration
Big data itself can provide significant insight, impact and advantage. These outcomes can be multiplied when big data is combined with existing enterprise data or even other big data. These insights can lead to enriched customer engagement, faster new product innovation, higher returns on capital and more. The possibilities are endless. And your competition has the same objectives.
As a result, integrating big data intelligently is a challenge on nearly everyone’s short list. Three patterns of integration have formed around big data integration.
Cisco Data Virtualization is proving a key enabler, delivering many of the capabilities required. With Cisco UCS and key partners including Appfluent, Cloudera, Hortonworks, Informatica and MapR providing additional value add.
Integration Pattern 1 – Hadoop to Hadoop Integration
The Cisco Hadoop-to-Hadoop Data Integration solution provides a more agile and faster way to access and query multiple Hadoop clusters. This solution enables even “bigger” big data analytics for greater insights and business impacts.
Integration Pattern 2 – Hadoop to Enterprise Integration
The Cisco Hadoop-to-Enterprise Data Integration solution provides a more agile and faster way to bring together traditional enterprise data with the new world of big data. Accessing and querying both Hadoop and enterprise data enriches the analytic opportunities and results in better business decisions.
Integration Pattern 3 – Data Warehouse Optimization Integration
With data warehouse data doubling every two years, data warehouse costs are skyrocketing. To reduce these ever-growing warehouse management costs Cisco and Informatica recently announced a joint Data Warehouse Optimization solution.
This offering combines the hardware, software and services required to successfully offload processing and storage from data warehouses to Hadoop. Not only does it significantly reduce costs, the solution also help organizations integrate and analyze more data and types of data, and thus drive greater business impacts.
At Strata + Hadoop World last week, I discussed this new solution with Jim McHugh, VP of UCS & Data Center Solutions Marketing at Cisco.
To learn more about these solutions and how Cisco’s rich portfolio of big data and analytics solutions can help you unlock the value of your big data, check out these two on-demand seminars:
Unlock Your Competitive Edge with Cisco Big Data and Analytics Solutions
Analytics Solutions for Driving Better Business Outcomes
Join the Conversation
Follow us @CiscoDataVirt.
Learn More from My Colleagues
Check out the blogs of Mala Anand, Mike Flannagan and Nicola Villa to learn more.
Tags: Big Data, data and analytics, data integration, data virtualization, data warehouse optimization, Hadoop, UCS
In the Internet of Everything Era (IoE), analytics will occur throughout the network—from the edge, to the core, in the cloud, and everywhere in between. Cisco is uniquely positioned to deliver intelligent networking infrastructure that acts as a flexible data plumbing footprint and control plane, giving our customers the flexibility to send analytics to the data source for IoT use cases that require real-time insights—as well as data to the analytics for use cases that require historical data.
The most powerful analytics solutions apply the combined power of an innovative infrastructure and analytics software solutions that are uniquely designed to optimize one another. Cisco’s analytics-ready infrastructure has been proven to provide a high-performance, flexible, and efficient foundation for leading data management, data integration, and analytics software.
- Cisco UCS Integrated Infrastructure for Big Data is an industry-leading platform widely adopted in the industry that helps organizations deploy and scale Big Data applications faster to drive the revenue side of the business while significantly reducing risk and TCO.
- Cisco UCS Integrated Infrastructure for Big Data is the first and only platform to post certified results for the new TPC Express Benchmark HS (TPCx-HS), which was developed to provide enterprises with a vendor-neutral way to evaluate the performance and price-to-performance of big data implementations. Cisco UCS Integrated Infrastructure for Big Data demonstrated outstanding performance and scalability at 1TB, 3TB, and 10TB scale factors.
- Cisco UCS Mini, ideal for processing analytics at the edge and branch offices, has earned industry recognition for innovation in furthering the development of the data center industry with the InfoTECH Spotlight Data Center Excellence Award for 2014.
- And, Cisco Application Centric Infrastructure (ACI) and the Nexus 9000 also took home an InfoTECH excellence award adding additional proof of the strength of Cisco’s analytics-ready infrastructure. As analytics workloads increase in number, the network plays a critical role in ensuring that workloads are completed and insights are delivered on time, securely, and cost-effectively. Cisco ACI lets customers dynamically optimize cluster performance in the network, redeploy resources automatically for new workloads to improve utilization and lower TCO, and ensure isolation of users and data as resource deployments change.
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Tags: ACI, analytics, Big Data, UCS