Zhang Yaqin: Big Data Application

Moderator: Big Data is a very hot IT hot spot this year. Since last year, what is Big Data? We need industry-leading experts to set the stage for us. Today is a very good opportunity to advise Zhang Yaqin. First of all, what is big data?

Zhang Yaqin: I want to tell why big data suddenly fired up. The first point is three V: Large-scale data rapid change to qualitative change The second point is cloud computing, the pursuit of computing performance, the third point is the artificial intelligence machine learning data mining, etc., and then big data has become a matter of course.

Zhang Yaqin: I want to tell why big data suddenly fired up. We have made big data, massive data, and data warehouses for many years, and there are also many commercial ones. The first point we talk about is the scale of the data, the speed of data, and the process from quantitative change to qualitative change. The second point of cloud computing, cloud computing, computing scale, storage, including learning algorithms, including the genetic factor we talk about, I think this is the rice channel. Putting data in there, plus good methods, is just a part, and more importantly, the use of data.

It used to be said that big data has 4 V. Today I think it is three V: The first is Vision. We must have vision, a big data strategy, what kind of data, how to apply. The second point is View, perspective, different visuals, what kind of data is presented. If the data comes after you explain it differently, the results will be different and there will be a lot of data analysis. The third method is how to obtain Value, use big data, and the data is static data.

Moderator: I think Chang talks. From the perspective of demand, what is the purpose of using big data from me? To achieve what kind of effect, I think this is a breakthrough in understanding big data. If a leader does not move and does not put himself out, I think this is not acceptable.

Zhang Yaqin: Turn data into information.

Moderator: From the traditional data structure data in the past, now to big data, what kind of subversion of the new management model and business model?

Zhang Yaqin: The earliest management of data is the IBM-invented analysis database. At that time, the database was actually queried, mainly for structured, and later for the database warehouse. . . Now that big data is not structured as a whole, you can see pictures, audio, and video. . . The traditional database has been unable to deal with, through the intelligent system query, give you something. Big data is uncertain. Sometimes it is used to check things. Sometimes it does not know what to look for. It is more of a trend analysis. It is a recommendation efficiency. It is a vague choice, so it provides new information. It was originally not.

Moderator: Microsoft is the world's top five big data manufacturers. In my opinion, many internet companies have neglected products in the service perspective. Including our management methods are different. I think you are a senior expert in the industry and help us analyze it.

Zhang Yaqin: We have a characteristic that is new and old, new things are coming, old things are eliminated. In fact, the world needs those old things. The information in the database provides data interfaces, plus new data. Cloud computing is also needed. In 2006-06, Google had a big change. I think cloud is very important, but cloud plus N is also very important. Now apps on the mobile internet seem to be more common than browsers, because there are shops, there are orders, what will happen in the future? I think it will be there. I think software and services, browsers and apps are all there.

Moderator: I feel a very balanced point of view from your point of view: Big data can not be a definitively divided relationship with the past. Big data still needs to be applied in the future, not flashy. Microsoft is very professional. Regarding products, where are the tools and what are the applications? Can you help us to answer this question?

Zhang Yaqin: We now have a lot of products for data warehousing in the enterprise. There are public data and third-party data. Combining these data together, I hope to integrate with the data of platforms such as social networking and WeChat. The second point: I think it is the security of big data. There will always be risks.

Zhang Yaqin: There are domestic data Sina Weibo data Taobao data. . . Including our apps all have data. These are the problems we need to solve in the era of big data.

Moderator: As an individual, what impact does big data have on me? How to combine our familiar products on the Windows platform?

Zhang Yaqin: Collect data, manage data, analyze data. How to present data, how to use data, how to identify data, and sense data. Everyone is more accustomed to office and so on. I combine practical data with big data. Everyone may feel more convenient. The product that we have recently released is Hadoop. After analysis, it is displayed in popint. This product is already out, visualized and easy to use. This is a very important aspect of big data.

Moderator: There is a network on the use of big data to find a girlfriend, it only takes six steps, of course, is true or false is not important, it is important to have such an application. Ask what kind of big data application is suitable for China?

Zhang Yaqin: Now that Weibo is using big data in search, compared with the United States, China's relatively backwardness is mainly at its enterprise level. This aspect needs further development. This is also a great opportunity. There is also machine learning, which takes time. In the future, it is likely to catch up.

Moderator: When our data is simply transformed to a complex time, we attach too much importance to data. After the exchange, we feel that big data still needs to be applied. There are several relationships between big data and cloud computing. We must pay attention to it. We must Pay attention to the cloud service, but also provide good products at the end, from the software point of view, not only data, the future of the big data weak links for the enterprise, will also become future opportunities, how to seize the opportunity need to work together with the market .