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Why I Love Big Data Partner Series 4: Distributed Big Data Cluster with Cisco UCS and MapR–Store Locally, Query Everywhere

Next in our series of Why I Love Big Data is Bruce from MapR.  Together, Cisco and MapR are working on a very cool solution for keeping data local, but accessing very quickly.  Also, come by the Connected Banking stand in the Cisco Live World of Solutions and DevNet area to see a demo of the distributed system. You will see how Cisco and MapR can provide solutions for security and data theft prevention to prevent theft of customer’s personal data and financial information.

BruceTwo4x4Bruce Penn, Principal Solution Architect, MapR Technologies
Bruce is a Principal Solution Architect with MapR Technologies.  He has over 22 years of Information Technology experience that includes Data Warehousing, Business Intelligence, Enterprise Architecture, Systems Design, Project Management and Application Programming.  Prior to MapR, Bruce spent 8.5 years at Oracle and was instrumental in helping grow the Oracle Exadata Database Machine business through extensive collaboration with several large enterprise customers.  Bruce was the first Solution Architect to join MapR’s Sales Engineering team and has been solely focused on the MapR Distribution for Hadoop and associated Apache Hadoop ecosystem technologies ever since. Bruce holds a Bachelor’s Degree in Electrical Engineering from Michigan State University.


Cisco and MapR have long been partners in the big data market, and with enterprises embracing the Internet of Everything (IoE) and moving towards a truly distributed data center environment, the combination of UCS and MapR provide unique capabilities to simplify this architecture.

Cisco UCS servers provide a powerful foundation for running distributed big data/Hadoop MapR clusters with unparalleled performance, availability, and manageability at the hardware level. The MapR Distribution including Apache Hadoop provides similar robustness at the software level, creating a rock-solid distributed platform for many flavors of IoE applications.

With the advent of IoE applications, data often originates at the “edge” of a system’s network, meaning that devices such as routers and switches in one data center will generate log data locally, while devices in other data centers will do the same creating silos of log data. In order for applications built around this log data to react in real time, they need to access that data as quickly as possible, and often those applications will want to aggregate the data across data centers in order to make decisions quickly, while keeping the data local to the originating data center. It may be important to keep the data local for legal and regulatory reasons, as well as for efficient local queries. With Cisco UCS Servers, MapR Data Placement Control, and Apache Drill, this becomes a simple task.

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Join Us for Datacenter Innovation Talk at Cisco Live

Digital transformation hinges on the performance of the datacenter.

Cisco would like to share how digital transformation is turning traditional business models on their heads, enabling new innovative customer experiences. This is creating new business dynamics where speed is vital for organizations to stay competitive.

Want to learn more? Make sure not to miss “The Cisco Data Center: Powering Fast IT at Every Scale” session on Tuesday June 9, from 1:00pm to 2:00pm.  At this session, Cisco experts discuss our vision for the Data Center and Fast IT, as we go into details on the new technology innovations that enable the policy-architected Data Center.

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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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