Why Big Data Is Needed

The first China cloud Computing conference was opened in June 2013 5-7th at the Beijing National Convention Center. The Conference, with an international perspective, insights into global cloud computing trends, and from the application, explore cloud computing and large data, cloud computing and mobile Internet, cloud security and cloud computing industry applications, such as the focus of the topic.     In particular, the Conference has set up a cloud computing services display area, exchange the latest research results of international cloud computing, showcase domestic cloud computing pilot City development achievements, share cloud computing development experience, promote global cloud computing innovation cooperation. SAP Global Executive Vice ...

The first China cloud Computing conference was opened in June 2013 5-7th at the Beijing National Convention Center. The Conference, with an international perspective, insights into global cloud computing trends, and from the application, explore cloud computing and large data, cloud computing and mobile Internet, cloud security and cloud computing industry applications, such as the focus of the topic.     In particular, the Conference has set up a cloud computing services display area, exchange the latest research results of international cloud computing, showcase domestic cloud computing pilot City development achievements, share cloud computing development experience, promote global cloud computing innovation cooperation. SAP Global Executive Vice ...

"Enterprise Observer" reporter Jianwen If you want to choose the last two years in the media, the top ten hot words, big Data no surprise will be selected. However, it seems that everyone is aware of the power of large data but cannot find a way to use large data. 　　Whether it's a business, a government or any other community organization, big data is so close, but so far away. "Big data has become a hot word for people to talk about, but few mention the ability that people need to have in this huge change, and countless businesses and individuals forget to ' count '." "As Vice president of the Business Intelligence Department of Alibaba Group ...

In the internet age, large data is hot, many people must pro data, but can really say that the big data is not much, not to mention how to use large data to dig out the great business value. 　　How do you define large data? What are the characteristics of large data? This paper aims to clarify the concept of large data, illustrate the application of large data and explore the future development of large data. 　　Q1: Is big Data a commercial hype? The industry's definition of large data is 4 "V": Large volume (Volume), multiple species (produced), fast (velocity) ...

Now, the industry and academia have been hot on the big data, whether it is academia or it circle, as long as can talk about some big data is very tall. However, big Data mining, big data analysis, big Data marketing and so on are just the beginning of course, there are many people directly criticize the big data or large data marketing to create privacy threats to us, what is the big data in the end? What is the value of it? Today, the industry and academia have been talking about a word, which is big data. Whether it's academia or it, it's big enough to talk about a little bit of data. However, large data mining ...

For many market researchers, "medium data" is the analysis goal that truly provides ROI value returns. The so-called "Big data" analysis, will show a diminishing ROI. The industry's skepticism about the concept of "big data" has never stopped, and many people think it is just an overly hyped marketing bubble. Indeed, most companies do not have PB-level data, such as Google or Facebook, in terms of volume of data. So, does big data have any meaning? Data analysis expert Tom ...

Large data is a vague expression of large-scale phenomena. 　　The term has now been overheated by entrepreneurs, scientists, governments and the media. Five years ago, a Google research team announced a remarkable achievement in the world's top science magazine Nature. The team can track the spread of flu in the United States, which does not depend on any medical examination. They are tracking even faster than the CDC. Google's tracking results are only a day's delay, and the CDC needs to compile a large number of physicians ' diagnoses to get a spread of the trend chart ...

In the face of rapid growth to the PB level of mass business data, people naturally have many questions in mind, big data can provide my business how to help? What is the relationship between cloud and big data? Cloud can land? Hadoop in the end can be used as a panacea for big data? What role will virtualization play in big data? With so many doubts, today we come to big data. According to a report by IDC entitled "Digital Universe," it is estimated that by 2020, global data usage will reach 3 ...

Martin Leach is very busy with big data work. He worked as CIO at the Broad Institute, a joint MIT and Harvard University, where he was responsible for storing 13PB of data, using supercomputers for computing. He and his team have made a remarkable contribution to the human genome mapping effort. Before the institute, his team supported the research team for the pharmaceutical giant Merck development. Now, his new job is the vice president of it research at biotech company Biogen, who currently has some data scientists in the team. This team passes big data ...

This era has not been a simple digital media era, some business giants have quietly used "big data" technology for many years, with large data-driven marketing, drive cost control, drive product and service innovation, drive management and decision-making innovation for many years. Large data contains a variety of information on the operation of the enterprise, if they can be timely and effective collation and analysis, it can be a good effective way to help enterprises to carry out business decision-making, to bring the enterprise to obtain huge value-added value benefits. This issue with large data on the most closely related to the retail industry, and small partners to share big ...