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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.

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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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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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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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Unlock The Value of Big Data with Cisco Unified Computing System

Big Data is not just about gathering tons of data, the digital exhaust from the internet, social media, and customer records.  The real value is in being able to analyze the data to gain a desired business outcome.  

Screen Shot 2014-09-21 at 8.18.12 PMThose of us who follow the Big Data market closely never lack for something new to talk about. There is always a story about how a business is using Big Data in a different way or about some new breakthrough that has been achieved in the expansive big data ecosystem. The good news for all of us is, we have clearly only scratched the surface of the Big Data opportunity!

With the increasing momentum of the Internet of Everything (IoE) market transition, there will be 50 billion devices connected to the Internet by 2020—just five years from now. As billions of new people, processes, and things become connected, each connection will become a source of potentially powerful data to businesses and the public sector.  Organizations who can unlock the intelligence in this data can create new sources of competitive advantage, not just from more data but from better access to better data.

What we haven’t heard about – yet—are examples of enterprises that are applying the power of this data pervasively in their organizations:  giving them a competitive edge in marketing, supply chain, manufacturing, human resources, customer support, and many more departments. The enterprise that can apply the power of Big Data throughout their organization can create multiple and simultaneous sources of ongoing innovation—each one a constantly renewable or perpetual competitive edge. Looking forward, the companies that can accomplish this will be the ones setting the pace for the competition to follow.

Cisco has been working on making this vision of pervasive use of Big Data within enterprises a reality. We’d like to share this vision with you in an upcoming blog series and executive Webcast entitled, ‘Unlock Your Competitive Edge with Cisco Big Data Solutions’, that will air on October 21st at 9:00 AM PT.

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I have the honor of kicking off the multi-part blog series today. Each blog will focus on a specific Cisco solution our customers can utilize to unlock the power of their big data – enterprise-wide– to deliver a competitive edge to our customers.  I’m going to start the discussion by highlighting the infrastructure implications for Big Data in the internet of Everything (IoE) era and focus on Cisco Unified Computing System initially.

Enterprises who want to make strategic use of data throughout their organizations will need to take advantage of the power of all types of data. As IoE increasingly takes root, organizations will be able to access data from virtually anywhere in their value chain. No longer restricted to small sets of structured, historical data, they’ll have more comprehensive and even real-time data including video surveillance information,  social media output, and sensor data that allow them to monitor behavior, performance, and preferences. These are just a few examples, but they underscore the fact that not all data is created equally. Real-time data coming in from a sensor may only be valuable for minutes, or even seconds – so it is critical to be able to act on that intelligence as quickly as possible. From an infrastructure standpoint, that means enterprises must be able to connect the computing resource as closely as possible to the many sources and users of data. At the same time, historical data will also continue to be critical to Big Data analytics.

Cisco UCS Common Platform Architecture for Big Data from Cisco Data Center

Cisco encourages our customers to take a long-term view—and select a Big Data infrastructure that is distributed, and designed for high scalability, management automation, outstanding performance, low TCO, and the comprehensive, security approach needed for the IoE era. And that infrastructure must be open—because there is tremendous innovation going on in this industry, and enterprises will want to be able to take full advantage of it.

Cisco UCS for Big DataOne of the foundational elements of our Big Data infrastructure is the Cisco Unified Computing System (UCS).  UCS integrated infrastructure uniquely combines server, network and storage access and has recently claimed the #1, x86 blade server market share position in the Americas. It’s this same innovation that propelled us to the leading blade market share position that we are directly applying to Big Data workloads.  With its highly efficient infrastructure, UCS lets enterprises manage up to 10,000 UCS servers as if they were a single pool of resources, so they can support the largest data clusters.

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Because enterprises will ultimately need to be able to capture intelligence from both data at rest in the data center and data at the edge of the network, Cisco’s broad portfolio of UCS systems gives our customers the flexibility to process data where it makes the most sense. For instance, our UCS 240 rack system has been extremely popular for Hadoop-based Big Data deployments at the data center core. And Cisco’s recently introduced UCS Mini is designed to process data at the edge of the network.

Because the entire UCS portfolio utilizes the same unified architecture, enterprises can choose the right compute configuration for the workload, with the advantage of being able to use the same powerful management and orchestration tools to speed deployment, maximize availability, and significantly lower your operating expenses.  Being able to leverage UCS Manager and Service Profiles, Unified Fabric and SingleConnect Technology, our Virtual interface card technology, and industry leading performance really set Cisco apart from our competition.

So, please consider this just an introduction to the first component of Cisco’s “bigger”, big data story. To hear more, please make plans to attend our upcoming webcast entitled,  ‘Unlock Your Competitive Edge With Cisco Big Data Solutions’ on October 21st.  

Register Now

Every Tuesday and Thursday from now until October 21st, we’ll post another blog in the series to provide you with additional details of Cisco’s full line of products, solutions and services.

View additional blogs in the series:

     9/25:    Unlock Big Data with Breakthroughs in Management Automation

     9/30:    Turbocharging New Hadoop Workloads with Application Centric Infrastructure

     10/2:    Enable Automated Big Data Workloads with Cisco Tidal Enterprise Scheduler

     10/7:    To Succeed with Big Data, Enterprises Must Drop an IT-Centric Mindset: Securing IoT Networks Requires New Thinking

     10/9:    Aligning Solutions to meet our Customers’ Data Challenges

    10/14:   Analytics for an IoE World

Please let me know if you have any comments or questions, or via Twitter at @CicconeScott.

 

 

 

 

 

 

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