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One Second in Baseball Brought To You By The Cloud

Major League Baseball fans are voracious consumers of baseball data. It’s important for MLB to be live and available 24/7, 365 days a year – not just on opening day.

And because fans have been obsessed with statistics for as long as the sport has existed, it’s no surprise that the intersection of Big Data, mobility and cloud has begun to transform every aspect of the sport.

As discussed in Rick Smolan’s The Human Face of Big Data, the amount of data being captured during one moment of a game today is greater than that from the entire season only a few years ago.

Thanks to the work of MLB Advanced Media (MLBAM) and technologies such as PITCH/fx, gigabytes of data that capture each moment of every game in stadiums around the country are being shared with broadcasters, stadium operators and viewers at home, all in real-time through the cloud. While the game has continued to evolve on the field, it has rapidly been changing off the field. Ballparks around the country have been installing Cisco Connected Sports solutions , which impact everything from safety and security to live video on mobile devices. Beyond baseball, Cisco has been transforming the fan experience in more than 200 venues in more than 30 countries.

One Second in Baseball Brought To You By The Cloud

As the Internet of Everything (IoE) connects more people, process, data, and things, the future of baseball is sure to generate more networked connections to reveal valuable insights. The possibilities for connections are limitless:  connected fields, baseballs, bats, player uniforms, and more will not only generate more data but also provide more possibilities for analysis. Imagine what the world of sports will be like when connected baseballs can report back whether a ball was fair or foul!

Here’s a closer look at how Big Data, cloud and the Internet of Everything will enhance America’s favorite game.

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Maximizing Big Data Performance and Scalability with MapR and Cisco UCS

Huge amounts of information are flooding companies every second, which has led to an increased focus on big data and the ability to capture and analyze this sea of information. Enterprises are turning to big data and Apache Hadoop in order to improve business performance and provide a competitive advantage. But to unlock business value from data quickly, easily and cost-effectively, organizations need to find and deploy a truly reliable Hadoop infrastructure that can perform, scale, and be used safely for mission-critical applications.

As more and more Hadoop projects are being deployed to provide actionable results in real-time or near real-time, low latency has become a key factor that influences a company’s Hadoop distribution choice. Thus, performance and scalability should be evaluated closely before choosing a particular Hadoop solution.

Performance

The raw performance of a Hadoop platform is critical; it refers to how quickly the platform can ingest, process and analyze information. The MapR Distribution for Hadoop in particular provides world-record performance for MapReduce operations on Hadoop. Its advanced architecture harnesses distributed metadata with an optimized shuffle process, delivering consistent high performance.

The graph below compares the MapR M7 Edition with another Hadoop distribution, and it vividly illustrates the vast difference in latency and performance between these Hadoop distributions.

High Performance with Low Latency

 

One particular solution that is optimized for performance is Cisco UCS with MapR. MapR on the Cisco Unified Computing System™ (Cisco UCS®) is a powerful, production-ready Hadoop solution that increases business and IT agility, supports mission-critical workloads, reduces total cost of ownership (TCO), and delivers exceptional return on investment (ROI) at scale.

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Analytics at the Edge: Where the Network Becomes the Database

In 1984, John Gage of Sun Microsystems coined the phrase “the network is the computer” as computing functions started to become increasingly distributed across the network. Today, boundaries that once separated individual computers have disappeared and application processing is enabled—and managed—by the network. We are now at the forefront of a new market transition, as eloquently explained by Rick van der Lans in his paper, “The Network Is the Database.”

The network is indeed becoming the database. Big Data and the related approach to database management are moving away from a centralized data warehouse model and literally starting to flow across the network. We are virtualizing data management by leaving data in the network, instead of copying it into a data center. Data stays in motion wherever and whenever it’s needed across the network, instead of being at rest.

What does this mean for business value? A distributed—and virtualized—data management approach solves the three major issues of Big Data: volume, variety, and velocity.

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#EngineersUnplugged S5|Ep4: Big Data

March 26, 2014 at 10:56 am PST

In this week’s episode of Engineers Unplugged, Floris Grandvarlet (Cisco) and Richard Pilling (Intel) take on Big Data across the proverbial pond, at Cisco Live Milan. Where are we now, how are we going to approach the ever increasing amount of data (an ocean of it) to fish for information? This is a great overview for the challenges and the evolution of approaches.

Let’s watch and see what they propose to address the challenges:

It’s our very first seahorse--outsmarted once more.

**The next Engineers Unplugged shoot is at EMC World, Las Vegas, May 2014! Contact me now to become internet famous.**

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A Symphony of Sensors Drives Value, Insight, and Opportunity

To cross a busy intersection safely, it’s best to have all of your senses alert. That way, if you don’t happen to see that oncoming truck ignoring the “Walk” sign, you will probably still hear it. In the case of a heavy cement mixer, you may even feel the low rumble of its powerful engine first.

In the Internet of Everything (IoE), a similar principle applies. We call it “sensor fusion,” and it involves combining two or more sensors — often of different types — to monitor a specific environment and offer actionable insights more intelligently. These could be cameras and Wi-Fi tags or weight-sensing shelves and ultrasonic imaging, to name just two combinations. Moreover, the combined sensor data can itself be fused with other information streams — for example, those relating to weather, operations, news, or social media.

The result? Highly informed, real-time decision making and richer customer experiences.

Until recently, sensor fusion has been mostly exploited in specialized devices such as robots, but it is now driving a revolution in enterprise systems. This will bring new life to entire industries and completely transform stores, manufacturing floors, and transportation corridors. By greatly improving the accuracy of their measurements, organizations will be able to offer rich new experiences and gain substantial competitive advantage.

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