Big Data brings unprecedented experience

Big data is the hottest technology concept in recent years. The industry's definition of a data source scenario for large data is either no less than 100TB or from an ultra-high-speed data stream, or an annual growth rate of more than 60%. And there are four V's saying: Volume (Volume), complex (produced), velocity (velocity), real (veracity). But the big data really has the shocking influence to the entire profession, actually is as a strategy, the world Outlook and the method existence.

"Big Data" this technology, applied to the sports industry, the most significant point is to bring unprecedented experience of the game, that is, data speed and complexity of these two points. The combination of "big data" and sports makes people see another truth about the game.

At Intel's recent "Sports Industry and http://www.aliyun.com/zixun/aggregation/8213.html" > Large Data Application Media communications, Beijing sports channel commentator Wei from the point of view of professional workers to tell their own experience:

I remember when I was in the 1997 and 1998, when you were explaining a game, it was important to be clear that the key data was whether the goal was 28th or 29th minutes. Today, the data we have to say in a game include the very complicated data of the player's game, the number of passes, the number of passes, and his effective ball control. The types and categories of data become larger and bigger, and my peers and I are deeply aware of it.

Chen Zhongjie, chief editor of the Sports website, said:

I watch the ball has a history of more than 20 years, initially my understanding of the movement is more sensitive, is more illusory, so far, with the development of large data, I understand the movement is more and more specific, more detailed, from this movement is getting closer.

This "getting closer" is a big part of the "Big Data", the most famous correlation analysis (correlation analysis is the analysis of two or more related variables to measure the relevance of two variables): Let the audience understand the trend behind the data, The match conditions and the different factors in the team performance, how the weather, race time and schedule will affect the team's final results, coupled with the running line and the direction of the ball game play playback and so on. Enjoy a game, the audience to get, far more than one or two exciting moments of dancing. The appearance of all kinds of competition data and visual charts gives the audience a more intuitive and profound understanding of the game.

Sports such as tennis, basketball, football, rugby and so on have applied the "big data" technology to varying degrees, especially the strong support from the Intel Server backend system. Sailing, for example, did not seem so interesting in the past: The race was carried out on the sea several kilometres away, and the audience confused the course of the game. But today it's all different: fleets of sensors that are assembled by sailing boats, with data such as the left, speed and wind, can also bring closer, more vivid and more exciting water sports to our viewers. CG animation, a few kilometers away from the game can be vividly displayed in front of the audience. And the basketball game experience changes more, as long as the audience can access the Internet, you can see the match real-time data and visual charts. In other words, the data you get is no different from the notebooks on the bench, and you can be a better reader of the game than the TV station. When Kobe Bryant became the youngest "20,000 points" in NBA history, the data analysis system was found when Kobe Bryant scored more than his opponent's team in a match, and when Kobe scored 81 points in a single game with only 41 minutes to play. "Sports Big Data" lets the audience be able to obtain these analytic results in the first time, to witness the great time in sports history.

This is the result of applying "big data" to the analysis of sports data, the key to success: one is speed, to deal with the fast flow of information in real time, sports games can change rapidly, there is always a possibility of dramatic results; Imagine that data is exploding, in the face of a stifling data tsunami, a storage system like a small reservoir, and a data processing system that can be seen as a water treatment system. The data poured into the reservoir and, if not dealt with quickly, was discharged intact. For data owners, there is no value in addition to the cost of storage equipment. So don't underestimate the data analysis results and visualization charts on the screen, but the most advanced information technology and hardware devices behind these real-time analysis results.

Take real-time data "fast", hardware to be perfect, the calculation speed is satisfied, but also to accurate, real-time intelligent calculation. This is like reading newspapers, times, daily information quickly, need to compile input, but because of the short time to obtain information limitations, lack of depth and panorama of the article, weekly, monthly and vice versa. Also like the football players on the front, tall although occupy an advantage but not sensitive enough, body dexterity and often in the collision is not too easy to occupy the Shangfeng. Although the speed and complexity of data processing in other industries is often the application of "fish and bear can not have both", but now it seems that "big data" in sports broadcast application has done the right balance.

He Xiaodong, Intel Data Center and cloud computing business product Marketing Director, describes:

Data analysis means, data storage, but it takes a lot of time to find him, this data is basically no commercial value. Where did our data go before? The amount of storage is too large to be placed on tape, tape in a certain reference room, and then found if there is a problem. With the continuous advancement and development of technology, we can put it on the hard disk, even in the future can be put in memory. Memory is the equivalent of what we remember in our heads, our brains react the fastest, we put them in the data center memory. The good thing about this is that we can put real-time data in there for real time analysis.

Visible, "Big data" as a strategy and method, in the sports industry, the application has just begun, especially with wearable equipment and IoT technology. What the fans see is just some of the current milestones, and the future of the fans will be even more exciting as they continue to upgrade their equipment and optimize their products with Intel's leading IT vendors. The "Big Data" technology opens another door to sports, unfolds another world, interprets sports from another perspective, stretches a game, and gives people a second taste of a sport.