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Big data has grown rapidly in all walks of life, and many organizations have been forced to look for new and creative ways to manage and control such a large amount of data, not only to manage and control data, but to analyze and tap the value to facilitate business development. Looking at big data, there have been a lot of disruptive technologies in the past few years, such as Hadoop, Mongdb, Spark, Impala, etc., and understanding these cutting-edge technologies will also help you better grasp the trend of large data development. It is true that in order to understand something, one must first understand the person concerned with the thing. So, ...

The purpose of data mining is to find more quality users from the data. Next, we continue to explore the model of the guidance data mining method. What is a guided data mining method model and how data mining builds the model. In building a guided data mining model, the first step is to understand and define the target variables that the model attempts to estimate. A typical case, two-dollar response model, such as selecting a customer model for direct mailing and e-mail marketing campaigns. The build of the model selects historical customer data that responds to similar activities in the past. The purpose of guiding data mining is to find more similar ...

The purpose of data mining is to find more quality users from the data. Next, we continue to explore the model of the guidance data mining method. What is a guided data mining method model and how data mining builds the model. In building a guided data mining model, the first step is to understand and define the target variables that the model attempts to estimate. A typical case, two-dollar response model, such as selecting a customer model for direct mailing and e-mail marketing campaigns. The build of the model selects historical customer data that responds to similar activities in the past. The purpose of guiding data mining is to find more classes ...

Teradata, chief executive of the Greater China region, Singlun, said in an interview with Sina Science and technology, with the arrival of large data era, enterprises should be in the internal training of three kinds of ability: first, the ability to integrate enterprise data; second, explore the value behind the data and the ability to develop precise action programmes; The ability to perform accurate and rapid real-time operations. Data rapid growth Teradata Company is an intelligent analysis solutions vendors, mainly for enterprises and government agencies do data integration, analysis, exploration, mining data behind the value, thereby enhancing customer production competitiveness ...

From August 19, 2014 to 20th, the "2014 China International Data Conference" was held at the Ambassador Hotel in Beijing. 　　The following is Zhu speech by general manager of IBM China Development Center information Management Software Department. 　　Point of view concentration: 1, large data this matter, if it has a life cycle, I think it has not exceeded its infancy; 　　2, the charm of large data is not that it is big, but it is such a large number of data can produce more and more value before. 3, the big data is not only refers to the new data, in this society, the most valuable data is still ...

What's the big data? Why use large data? What are the popular tools for big data? This article will answer for you. See the original: Get the Complete Story with large data analytics Author: Kayden Kelly Now, Big data is an abused buzzword, but its real value even a small business can achieve. By consolidating data from different sources, such as web analytics, social data, users, and local data, large data can help you understand the overall situation. Large Data Analysis ...

It has been almost 2 years since the big data was exposed and the customers outside the Internet were talking about big data. It's time to sort out some of the feelings and share some of the puzzles that I've seen in the domestic big data application. Clouds and large data should be the hottest two topics in the IT fry in recent years. In my opinion, the difference between the two is that the cloud is to make a new bottle, to fill the old wine, the big data is to find the right bottle, brew new wine. The cloud is, in the final analysis, a fundamental architectural revolution. The original use of the physical server, in the cloud into a variety of virtual servers in the form of delivery, thus computing, storage, network resources ...

"Don't be misled by big data, large data, which is more about data mining than it is about big numbers," he said. "In the tenth session of the National Information Technology Expert Forum, the Chinese Academy of Engineering, China Internet Association Director Hequan pointed out that large data needs more emphasis on data mining, and the existing technology applications, talent, security and privacy issues, the most critical is to have a national large data strategy, Make it an effective way to change the mode of economic growth. The value of large data like the Shari NBA from the 80 's the beginning of the players in the game ...

"Don't be misled by big data, large data, which is more about data mining than it is about big numbers," he said. "In the tenth session of the National Information Technology Expert Forum, the Chinese Academy of Engineering, China Internet Association Director Hequan pointed out that large data needs more emphasis on data mining, and the existing technology applications, talent, security and privacy issues, the most critical is to have a national large data strategy, Make it an effective way to change the mode of economic growth. The value of large data like the Shari NBA from the 80 's the beginning of the players in the game ...

We have all heard the following predictions: By 2020, the amount of data stored electronically in the world will reach 35ZB, which is 40 times times the world's reserves in 2009. At the end of 2010, according to IDC, global data volumes have reached 1.2 million PB, or 1.2ZB. If you burn the data on a DVD, you can stack the DVDs from the Earth to the moon and back (about 240,000 miles one way). For those who are apt to worry about the sky, such a large number may be unknown, indicating the coming of the end of the world. To ...