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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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Achieving a 3D View of Your Shoppers

If every click made by a shopper on an online store can be considered valuable information, surely every step taken by a shopper in a physical store is also a similar wealth of data. While clearly this is valuable input that many stores would like to have, the means to collect and process it is not available everywhere. This fact has resulted in a significant gap in the information available in an online as opposed to a physical store.

Can the power of Internet of Everything and real-time analytics bridge this gap? Can it help capture the shopper behaviors using sensors in the store? Can real-time analytics at the edge transform this data into shopper insights?

Yes indeed. While we see the need for granular and enhanced analytics, we clearly see that many physical store retailers are yet to start their journey in capturing such shopper insights. Let’s take a 3D view of your shoppers.

3D-shopper-view-Rajesh-blog

You need to gather:

Door Traffic: This is the total traffic coming into your store. This metric is very valuable for understanding loyalty, conversion, staffing needs, and much more use cases as highlighted in the Cisco white paper on Retail Analytics. By filtering new and repeat visitors, we can understand your shopper’s loyalty – but when we bring together this data with point of sale data, it helps us to understand conversion. When we correlate this with marketing campaigns, it helps you get a sense of your store’s and campaign’s effectiveness.

Dwell Time: This is the time that your shoppers are spending in the store and in different areas of the store. It highlights the engagement of shoppers with your products and displays. For example, this metric can be used to understand products that are getting more attention from your shoppers, or can be used to determine more advanced metrics, such as balk rates and predicted wait times.

Demographics: This is the breakdown of segments among your shoppers. The granularity of this data can vary and can provide insights for customer segmentation and the ever changing dynamics of your shoppers, helping you to match shopper preferences and targeted promotions.

While there are no questions about the value of these data to the retailers, achieving it is currently a challenge due to the combination of technologies and sensors required to capture them precisely, effectively, and economically.

The Cisco Connected Analytics for Retail solution focuses on making this journey easier for retailers to capture the data and derive insights. Leveraging Wi-Fi, video, social, PoS, and other sensor data, and bringing together the power of real-time edge analytics, the solution provides retailers a 3D view of their shoppers.

If you are attending Cisco Live 2015 at San Diego, come by to check out the Connected Analytics for Retail solution demo in the World of Solutions pavilion. I look forward to seeing you there!

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Summary: #DigitalTransformation Fueling the Need for Workforce Transformation

In case you missed it, here a summary of Karen Walker’s latest blog on the IoE Blog site that reaches out to all those in the Oil and Gas Industry:

“…we recently published a new report that shows a global oil and gas (O&G) industry awash with disruption, and primed for digital transformation. Low oil prices have upended the sector, spurring an urgent rethinking of strategy by oil and gas executives—and accelerating the adoption of IoE.”

kwalkerKaren Walker, Senior Vice President of Marketing at Cisco and interim CMO, highlights some of the key findings from the report:

“To become agile enough to compete in the IoE Era, the oil and gas workforce must possess a mix of technical skills, industry knowledge, and business acumen. With talent shortages due to massive numbers of professionals retiring over the next few years—and a lack of necessary digital skills among those who remain— O&G firms need to make bold moves to transform their workforce strategy:

  • Extend the reach of existing expertise –Video-based collaboration can help bridge the expected talent gap by making the most of professional expertise that is spread too thin, as well as providing ongoing training throughout the organization.
  • Attract digitally-savvy talent – As up to 50 percent of oil and gas workers prepare for retirement in the next five to 10 years, who will be the next generation of workers that replaces them? An earlier Cisco report showed the next wave of digital transformation will be all about capturing timely, actionable insights from the deluge of data being generated by the Internet of Things (IoT), a key enabler of IoE.
  • Bridge the silos – In addition to analytics expertise, O&G companies will need employees who can see and work across the boundaries between IT and operational technology (OT).
  • Create a culture of innovation – O&G companies don’t compete just with each other for top talent, they compete with the likes of Google and Facebook. The best and brightest data scientists and software engineers want to be on the leading edge of innovation, not mired in “the way we’ve always done it”.”

Read the full blog to find out further insights here:

#DigitalTransformation Fueling the Need for Workforce Transformation

…and, as always, let us know what you think!

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Announcing Cisco’s Data & Analytics Conference

It is an exciting day for me. Today, we are announcing our first annual Data & Analytics Conference in Chicago, October 20-22. If you’ve previously joined us for Data Virtualization Day, you’ll find this expanded experience responds to your feedback and the changes your business is experiencing as the industry embraces the relevance of analytics.

To share our enthusiasm, and in honor of David Lettermen’s Final Late Show broadcast, here are the Top 10 reasons why you should join us at our conference this Fall:

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Driving Operational Excellence Through Digital Transformation in Oil & Gas

mcappett2

Marcel Cappetti

Guest Blog by Marcel Cappetti, Managing Director, Oil and Gas, Global Enterprise Theater

I’ve just returned from CERAWeek in Houston—an international event that could be described as “Davos for the energy industry.” It’s a gathering of the power elite, including industry, finance, technology, and government leaders from around the globe. For me, it was the perfect sensing post for all the angst and opportunity that pervades the industry today.

It was my privilege to participate in a panel on “Leveraging Operational Excellence to Drive Margin Expansion”—a key concern of oil and gas (O&G) executives following the crash in oil prices. Too often in previous downturns, companies have relied heavily on deep cost cuts—including massive layoffs and cancelled projects—to keep margins afloat. But this time seems different. There is general agreement in the industry that we will not be returning to $100-a-barrel oil prices any time soon. So it’s time for more than a course correction. It’s time for digital transformation. Digital transformation will drive operational excellence and, yes, margin expansion.

Marcel at CERAWeek

During my talk last week, I shared highlights from a new Cisco study discussing the new reality in O&G and the opportunity for digital transformation through the Internet of Everything (IoE)—the networked connection of people, process, data, and things. Key findings include:

  • “Operational efficiency of existing projects” and “maintenance of assets and infrastructure” will be the top two areas of increased investment over the next 24 months.
  • O&G leaders clearly understand data’s potential—they named “data analytics for faster, better decision-making” as the No. 1 driver for IoE investment.
  • Business transformation—including breaking down organizational silos and converging IT and OT people, processes, and technologies—is essential for digital transformation. According to Cisco’s study, 59 percent of respondents do not believe their IT and OT organizations are aligned.
  • Companies that transform will have a significant bottom-line impact. Analysis by Cisco Consulting Services shows that by implementing a range of IoE-empowered solutions, oil and gas companies can capture their share of $600 billion of Value at Stake between 2016 and 2025. For a $50 billion firm, this translates into an 11 percent bottom-line (EBIT) improvement.

Cisco can help O&G companies in their journey to digital transformation through the investments we have made in key technologies—such as analytics, data, sensors, wireless, and mesh—and through solutions developed with key partners. For example:

  • Remote Operations—Developed with GE, our Connected Oilfield solutions increase personnel safety and improve asset integrity with predictive maintenance; real-time analytics at the edge and virtual expert support enable faster and better decisions.
  • Pipeline Automation—In partnership with Schneider Electric, Cisco’s Connected Pipeline solution uses analytics at the edge to improve security and environmental protection with predictive detection of pipeline intrusion, leakage, and deformation.
  • Wireless Operations—Developed in partnership with Honeywell and Emerson, this Connected Processing Plant solution improves personnel safety and process efficiency with wireless real-time tracking, video analytics, and automated incident response.
  • Secure Operations—Industrial cybersecurity solutions improve security and risk management to combat new and evolving cyber security threats, specifically in the process control domain. A good example is a project for Royal Dutch Shell that provides remote proactive monitoring and SLA-driven management of security, applications, and infrastructure. We are working with industrial control system delivery partners such as Yokogawa Electric and Rockwell Automation to support this solution, which Shell plans to deploy at all upstream, downstream, and lubricant sites.

When the price of oil stood at more than $100 per barrel, the need for oil and gas companies to improve operational efficiencies was primarily driven by the competitive marketplace—and many firms took no action at all. Read More »

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