Last week, we were thrilled to receive the news that Infonetics scored Cisco Policy Suite as a Leader in the Policy Management Scorecard. Cisco was one of only two leaders recognized by Infonetics in this space and was recognized for building “… up its position in the market rapidly after its acquisition of BroadHop, demonstrating strong momentum around policy virtualization.”
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.
Bruce 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.
By Yves Padrines, Vice President & General Manager Cable, Media and Video, Cisco EMEAR
The summer trade show cycle wheels into Cologne, Germany this week for ANGA COM, expected to draw around 17,000 attendees and 450 exhibitors from 34 countries. Cisco is excited to be there to spend time with customers and partners, and showcase our latest innovations.
With the exception of regulatory considerations, the scene is pretty much constant across North America and in Europe: The need for accelerated broadband speeds is sparking innovation in the Read More »
Each week, we’ll highlight the most important Cisco Partner Ecosystem news and stories, as well as point you to important, Cisco-related partner content you may have missed along the way. Here’s what you might have missed this week:
Off the Top
The good folks over at CRN announced their 2015 edition of the Women of the Channel this week. Cisco was honored to have 11 women named in this year’s list!
Sherri Liebo even posted a blog giving a little more background and inviting you to congratulate the honorees. Please check it out and offer your support in the comments section.
Cisco Live US is next week in San Diego. I left a little reminder from me that I’ll be there. Find me if you’re in San Diego and let’s meet face to face. In the meantime, do check out my blog this week to get an idea on where I’ll be focusing my efforts for Cisco partners while I’m out on the west coast. Read More »
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.
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!