Real Time Data Warehousing Applications

Today, "Bigdata" (large data) the advent of the era has been no doubt, especially in the telecommunications, financial and other industries, almost to the "data is the business itself". One of the more important trends in this is the socialization of data (socialization of 挟裹). From the blog forum to the gaming community to the microblog, from the Internet to the mobile internet to the IoT, the real-time networking of human beings and various physical entities has been and will continue to produce incalculable data. For the enterprises that always focus on the market, they ...

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 ...

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 intermediary transaction SEO diagnoses Taobao guest stationmaster buys cloud host technology Hall the article before--the website data analysis Some questions 2 mainly collates the bi related question, this article mainly wants to organize some data warehouse related question. Because I recently looked back at some data warehouse information and books, want to put forward as well as the current problems to come up (blog about data Warehouse related content Please refer to the website Data Warehouse this directory), at the same time they also have the knowledge of the data warehouse under the reorganization and understanding, and for a long time ...

"IT168" Review of the past year, the Chinese enterprise information market has played a huge potential. and domestic manufacturers of the collective downturn, 2012 foreign manufacturers to accelerate the Denver market in China. 　　It has to mention SAP, a well-known German company that has maintained double-digit growth in the Chinese market for a long time, and the secret to its continued growth is innovation and change. 2012 is an extremely important year for SAP. In terms of product strategy, 2012 s ...

The amount of data generated in the past three years is still more than the amount of data in the past 40,000 years. There is no doubt about the advent of the era of big data. Big data can come from all aspects, from shopping transactions in life to industrial manufacturing; from social media information to online video images; from enterprise information management systems to government-owned e-government, Data generation. Therefore, we are about to face a revolution. Emerging big data will become a top priority for enterprise development. However, conventional technologies have been hard-pressed to handle large amounts of PB (1024TB) 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 ...

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 ...

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 ...

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 ...