Data Warehousing Information Center

Dong Xin: Ladies and gentlemen, good afternoon, welcome to the Hello Cloud architecture of the sub-forum, I am sure that many of you have participated in the morning meeting this afternoon in the Cloud Architecture forum, where they sat together to discuss how to put the cloud's vision, how to put the big data to the final landing, how to make our calculation , our storage, our network, can be better integrated and played in the era of cloud application architecture change. So we are also very happy today to invite experts in the industry, corporate executives, including our customers and our partners, so here I also represent super ...

Choosing new hardware, storage, and other datacenter infrastructures for large data is a new challenge for IT professionals. Large data is unstructured information with unprecedented scale and form. It includes video, images, and semi-structured data (such as e-mail and text that is common on the web). 　　With more and more sensor-based mobile web monitoring devices and output data, the amount of data available continues to grow exponentially. The pressure to implement big data strategies often comes from the top, because managers believe that companies that can effectively use data will have greater advantages than those who are lagging behind ...

Intermediary transaction SEO diagnosis Taobao guest Cloud host Technology Hall I visited the Bertelsmann book readers call center--150 employees serving more than 1 million readers nationwide, annual average processing of more than 4 million calls, outside the dial more than 2 million, SMS Send, reply to e-mail, the total number of letters are nearly 1.5 million. 　　I am very touched by this kind of telemarketing mode, especially the initiative to the core members of the phone recommended books marketing model. ----Huang Yuhai has always been, I have been puzzled whether the E-commerce platform need call center this ...

I visited the Bertelsmann book readers call center--150 employees for the national more than 1 million readers to provide services, the annual average processing of more than 4 million calls, outgoing calls more than 2 million, SMS sent, reply to e-mail, the total number of letters are also nearly 1.5 million. I am very touched by this kind of telemarketing mode, especially the initiative to the core members of the phone recommended books marketing model. ----Huang Yuhai All along, I've been puzzled by the need for a call center on the E-commerce platform. Bertelsmann fail the story of China, let me look at the problem again. Perceptual Color ...

"Tenkine Server channel May 21 News" With the advent of the big data age, the infrastructure that hosts the big data faces changes to cope with the big data revolution. Large data is unstructured information of unprecedented scale and form, with more and more sensor-based mobile devices and output data, the amount of data available will continue to grow exponentially. Large data strategies require changes in the data center infrastructure: storage requirements that result from large data increase by 60% to 80% a year, and given this rapid growth and current cost constraints, it buyers should choose to be able to ...

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 ...

The concept of large data, for domestic enterprises may be slightly unfamiliar, the mainland is currently engaged in this area of small enterprises. But in foreign countries, big data is seen by technology companies as another big business opportunity after cloud computing, with a large number of well-known companies, including Microsoft, Google, Amazon and Microsoft, that have nuggets in the market. In addition, many start-ups are also starting to join the big-data gold rush, an area that has become a real Red sea. In this paper, the author of the world today in the large data field of the most powerful enterprises, some of them are computers or the Internet field of the Giants, there are ...

2009 Spring SNW has been held in Orlando, USA. SNW has always been the wind vane of the storage area, and the major manufacturers will launch the latest technology and products at the SNW conference. 　　Zetta launched the data Center cloud storage service on the first day of SNW. Cloud storage, with the heat of cloud computing, has become a growing concern, and most of the cloud storage services are currently targeted at backup and archiving services that are not often read and that do not require fast and appropriate storage information. Zetta at this SNW conference, introduced a new model for all types of unstructured master data ...

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 ...