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Big Data is better than a sharp stick in the eye

Big Data is better than a sharp stick in the eye. I can say this with great authority, since I missed the first half of Strata+Hadoop World 2015 in San Jose because of the latter. But eye injuries have never kept me offline for long, and I was able to follow online with what I didn’t see in person. But I was very happy to make it in to the show on Friday, and even got a seat at about row 6 in the main hall for the keynotes. Read More »

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Flipping the 70-30 IT OPEX Model On Its Head

In today’s always on and connected, Internet of Things environments, IT is taking center stage to optimize business operations.

Many IT organizations allocate 70% or more of their budgets to simply keeping their operations up and running. It’s been like this for a long time, and there are many good arguments for this approach. After all, when IT stops working, business grinds to a halt.  The penalty for failing to keeping things moving is often swift and unpleasant.

ScottClarkDCBlogMarch2015quoteAt the same time, most CIOs will admit that they are increasingly being pulled in several directions at once.  In addition to keeping the uptime ball in the air, as a CIO you must juggle an accelerating onslaught of new demands.  Like the push towards video, mobile, data analytics, and cloud.  Plus the exponential increase in Internet traffic that means your networks never seem to be fast enough.  And no IT executive wants to see their organization on the evening news in connection with the latest data security breach.

As a CIO, you should be asking your IT vendors how they can help reverse the 70-30 ratio in your shop without downgrading its performance.  How do you transition to spending less on day-to-day operations?  And, what’s the best way to direct a bigger share of IT resources toward addressing the expanding needs of the internal lines of business with more innovative solutions? Read More »

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How you integrate Network Services matters

Guest post from Lori Mac Vittie (@lmacvittie) from F5 Networks 

How you provision all the network things matters

Polymorphism is a concept central to object-oriented programming. The notion of polymorphism is used to extend the capabilities of a basic object, like a mammal, to specific implementations, like cats or dogs or honey badgers, even though they don’t care about such technical distinctions. A good example of this is cats and dogs, which are both of the type “mammal” but that “speak” in a different voice.

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Three Big Data Integration Plays to Drive More Value from Big Data

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.

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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.

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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.

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At Strata + Hadoop World last week, I discussed this new solution with Jim McHugh, VP of UCS & Data Center Solutions Marketing at Cisco.

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Learn More

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

 

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Learn More from My Colleagues

Check out the blogs of Mala AnandMike Flannagan and Nicola Villa to learn more.

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No Latency Load Balancer in Data Centers

Cisco Intelligent Traffic Director (ITD) is a zero latency multi-terabit layer 4 load-balancer available on 5k/6k/7k/9k. It has support for traffic steering and clustering solution on the Nexus  series of switches.

ITD allows customers to deploy servers and appliances from any vendor with no network or topology changes. With a few simple configuration steps on a Cisco Nexus  switches, customers can create an appliance or server cluster and deploy multiple devices to scale service capacity with ease. The servers or appliances do not have to be directly connected to the Cisco Nexus switch. ITD takes load balancing decision in a single clock cycle of the switching hardware, Hence avoiding latency altogether.

ITD supports IP-stickiness, resiliency, NAT (EFT), VIP, health monitoring, sophisticated failure handling policies, N+M redundancy, IPv4, IPv6, VRF, weighted load-balancing, bi-directional flow-coherency, and IPSLA probes including DNS. There is no service module or external appliance needed.

ITD provides order of magnitude CAPEX and OPEX savings for the customers. ITD is available on Nexus 7000/7700 series in NX-OS 6.2(8) or later. It is available for demo/EFT on Nexus 5k/6k/9k.  ITD is much superior than legacy solutions like PBR, WCCP, ECMP, port-channel, layer-4 load-balancer appliances.

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Note:- ITD is not a replacement for  L7 load balancers

 

 

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