Hot Topics In Data Warehousing

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 ...

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 ...

On the face of it, looking for the wisdom of big data on Twitter seems like an ironic suggestion. 　　In fact, most ordinary consumers and business users use Twitter as a platform for data generation, and the information provided will be used as a source of analysis rather than as a guide to analyzing the solution. Twitter does, however, carry a huge amount of valuable data expertise--provided we know where to find them. Like other social platforms, Twitter is sometimes as noisy as it has no real value. If you add "large number ...

Why do traditional companies show more confusion when it comes to big data? The reason is that business decision-makers are not aware of the value that large data can bring to the business, or how to learn and use large data analysis tools. And these big data tools are there, who can learn to use the first step, who will occupy the opportunity. 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 the ...

On the evening of July 28, the "Data mining in the field of financial securities trading application Experience sharing", organized by the CTO Club of CSDN's senior technical Management headquarters, was held successfully at the Haidian Bridge Garage Café, the first line of the CTO Club's financial industry software Professional Committee since its inception. The event invited to Phoenix Senior technical manager Wang, and Rui Network CTO Gang Jianhua, Sohu Financial Division, senior engineer Zhaoschang, finance technical director Wu Yu and other guests, sharing in the securities trading market data analysis field involved in the experience and technology, and data mining ...

Whether in the traditional industries such as manufacturing, pharmaceuticals, or the emerging industries such as the Internet and telecommunications, the Internet's application logic is to make industry adjustments to meet the latest market demand by analyzing data such as consumer preferences. 　　In recent years, large data on the Internet have been vigorously developed, large data fire. In fact, in scientific research, medical and other industries, the concept of large data already exists. 　　Only in the scientific research, medical, video surveillance and other industries, large data only stay in the industry's small circle, and has been along the path down, not with other industries cross application. Based on user ...

Big data is undoubtedly hot topic, but it was once questioned as hype, the Ithome comments Pro data is not empty talk, but the challenge is not entirely technical aspects of the topic, the greater challenge is at the business level, even the management side of the problem. The following is the full text: Big data, probably the red speed after cloud computing, the technological term, in the past year, although cloud computing is still a hot topic, but more popular is big data, like a few years ago manufacturers are talking about the same cloud. At the beginning of the whole industry talk about cloud computing, from top to bottom almost all companies can be touched by the above, unavoidably ...

As one of the most watched Hadoop finale of the year, the 2013 Hadoop China Technology Summit is due to open on November 22-23rd at four points by Sheraton Beijing Hotel. The conference assembled nearly thousands of CIOs, CTO, architects, IT managers, consultants, engineers, 　　Hadoop enthusiasts, as well as it vendors and technologists engaged in Hadoop research and promotion, will share the hot topics related to Hadoop. IDC predicts that in the next few years China will have more and more enterprise users to test the water large data platform and should ...

With the progress of science and technology, enterprises now more easily use large data tools, GRASP business opportunities, improve performance.   How does the brand solve future problems from yesterday's information? Kishore Parthasarathy, director of data analysis in the Greater China region, launched the 2014 World Cup, sparking a flurry of "crazy football" in many countries. The past media reports, in addition to relying on reporters and editors of the sensitivity, often ...

Big data is forming our new continent tomorrow. 　　From the 2012 onwards, we will be from the mainland era, immigration into the era of large data. McKinsey's view of the advent of the Big data era of http://www.aliyun.com/zixun/aggregation/14294.html "> has caused widespread global repercussions." 　　Many institutions believe that "big data" will become a new investment line throughout 2012 years. As a specified large data, ...