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Why I Love Big Data Partner Series 2: Reduced Downtime, Happier Customers and Improved TCO with SAP, Hortonworks and Cisco

Following the Hortonworks Blog, we are lucky to have James Gold from SAP as next blogger in the Why I love Big Data guest partner series. James explains how customers experience is greatly improved via predictive maintenance in a connected factory.

JG Corporate Pic

James Gold, Director, Global Technology Partner Marketing, SAP SE
Jim is an enterprise software veteran who’s held a number of senior marketing and business development positions at large, mid-size and startup technology companies.  In his current position as Director of Global Technology Partner Marketing for SAP, he’s responsible for co-marketing, business development and co-innovation of key SAP strategic alliances, including Cisco Systems, Inc.  Previously, he held product marketing positions in support of SAP HANA Cloud Platform and SAP virtualization technologies. 
Prior to SAP, Jim worked in a variety of senior roles in partner and product marketing, business development and channel enablement.  He began his software career at IBM, and has worked at Intuit, LivePerson and Lithium Technologies, among others.Jim graduated cum laude from the University of Vermont, and has done graduate work in business and political science.


If you’ve spent much of your career in customer facing roles as I have, you know it from experience: whatever your business, there’s simply no substitute for a true customer advocate. It’s been said more than once that “the most important person selling what you’re offering is…your customer.” And with no shortage of vehicles to share product and service experiences, we all know that your customer’s opinion — positive or negative — can impact business like never before.

So what does this have to do with Big Data, Analytics, and Internet of Everything (IoE) – along with SAP, Hortonworks and Cisco? I hope you’ll stop by World of Solutions (1733) Connected Factory at Cisco Live to find out for yourself! You’ll see a powerful example of a Predictive Maintenance application that combines real-time and historical data about asset performance and repair to proactively prevent disruptions, increase manufacturing yield, reduce costs – and ultimately improve customer service.


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Why I Love Big Data Partner Series 1: Leverage Big Data at Scale, with Cisco and Hortonworks

As the first in the series of “Why I love Big Data blogs” with our Big Data and Analytics partners, I am pleased to have Cecile share how Hortonworks is working with Cisco to bring business solutions to our joint customers.


Guest Blogger: Cecile Poyet, Alliance Marketing Manager at Hortonworks

UntitledOne of the most exciting, yet challenging opportunities companies face today is related to data. Every year, they have to deal with about 40% more data than the year before. How does your organization take advantage and make sense of this exponentially growing resource?

Hortonworks and Cisco have been partnering to help you build massively scalable big data solutions that expand with your needs and provide you with an industry-leading platform for Hadoop-based applications.

Fully tested and certified, the Cisco UCS solution for HDP is based on UCS Integrated Infrastructure for Big Data, a highly scalable and efficient architecture designed to meet the demands of rapidly growing big data environments with cohesive data integration and powerful management-automation capabilities. With Cisco UCS Integrated Infrastructure for Big Data, we have helped enterprises smoothly integrate Hadoop with their computing, networking, and storage resources to run Hadoop clusters.

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Empower Your Application Teams

Application teams are the backbone of the revenue generating capabilities of all companies.  These creative people spend their off-hours working with the latest tools to keep their skills sharp.  Increasingly, these teams are going into the public cloud to develop their applications.  Why?  Developers need resources in days.  Procurement and IT quote resource delivery in weeks.

As the pace of business increases, developers need tools that help them accelerate the design and deployment of applications.  They want resources quickly, on-demand. Watch this video to learn how Cisco meets the need for on-demand resources.

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Cisco and Big Data and Analytics Partners unveil vertical solutions at Cisco Live

Why do I love Big Data so much? It’s because there are endless possibilities to deliver on the Internet of Everything (IoE) opportunity that will create new capabilities, richer experiences, and unprecedented economic opportunities for businesses, countries, and individuals. Analytics is an enormous part of that value creation and is estimated to drive $7.3T of the $19T IoE opportunity over the next 10 years.

Big Data and Analytics take the data created by people, processes, and things – that’s held within the Data Center and at the Edge – and convert it to insights that deliver the truly transformational business outcomes for which we all strive. I’m not talking about ‘iterative’ changes here. I’m talking about game-changing breakthroughs that change the way businesses compete, healthcare teams treat their patients, and cities and governments meet the needs of their constituents.

Cisco has incredible Connected Analytics offerings that address the needs of data streaming at the edge. These offerings are complemented by solutions based on Cisco UCS Integrated Infrastructure and broad ecosystem of Big Data & Analytics Partners.

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How Cisco ACI Stands out from other Network Virtualization Solutions – Part 2

[Note: This is part 2 in a three part series of blogs discussing how Cisco ACI stands alone in the market. Part 1 | Part 3]

In part 1 we talked about how Cisco ACI simplifies diagnosis and enables DevOps Model compared to competing network virtualization solutions.

In this blog we’ll explore two additional critical scenarios that affect network IT teams. We’ll look at it from ACI perspective and compare that to other network virtualization solutions.

1) ACI Provides Proactive SLA Assurance

IT organizations are pressed to track and provide SLA especially for productivity and critical business applications. The challenge is typically around how to actively monitor SLA for specific app and how fast to go about improving SLA in case it drops below certain level?

In this scenario, IT wants the ability to monitor health score for a customer facing app and to be able to correlate performance degradation across the network to locate the problem. With ACI, you get real-time healthscore dashboard as well as built-in intelligence in the fabric to load balance application traffic as congestion occurs to meet SLA requirements. Also, the integration of L4-7 devices with APIC allows fault correlation across loadbalancers and firewalls to locate the problem.

In comparison to competing network virtualization solutions, they are unable to natively demonstrate real-time view of traffic/ application pattern, or automatically load balance traffic in case of congestion or link failure as well as limited integration with underlay to locate cause of problem.

See Joe Onisick explaining this here

2) ACI Designed For High Application Performance

In the new era of applications that require the highest performance from networks, we’ve seen leaf spine architectures becoming more common to optimize traffic patterns and minimize number of hops that packets traverse the network. So it is important the architecture is able to support both physical and virtual applications without complicated configurations or additional Layer 3 gateways that may impact performance.

In this scenario, users are experiencing application performance problem related to data residing on bare-metal DB server. Let’s look at how ACI architecture will handle this? First, the ACI fabric is automatically discovered and configured thus minimizing amount of time required to bring up switches and configure them. Second, every leaf switch which can be top-of-rack is a Layer 3 gateway for both physical and virtual workloads. Third, all are managed from a central location, APIC. Lastly, every packet is two hops away maximum from its destination within the data center and delivery of small packets won’t suffer in the presence of large packets.

This is unlike what customers may find in competing network virtualization solutions that require additional Layer 3 gateways. The result is likely to have impact on application performance, increased latency, and additional cost.

See Joe Onisick detailing this here

Tags: ACIapplication networking servicesdata centerproductsSDNtechnologyvirtualization