Big Data Job Requirements

"Editor's note" This article is reproduced in the public number "Fu Zhihua", the author has been Tencent social networking business Group data center director and Tencent Data Association president.     Before Tencent, he worked in the market consulting, Analysys International, China Internet Association, and served as vice president of Dcci Internet Data Center. The internet industry in the accumulation of large data and applications to Baidu, Tencent and Alibaba is the most noteworthy. Baidu, Tencent and Alibaba in the application of large data although there is a common place, but due to their respective data sources and ...

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) ...

The world-wide information revolution has caused almost every industry to face big data problems. In order to effectively deal with the all-round challenges brought about by large data and make full use of this unprecedented opportunity, the industry, the scientific and technological circles at home and abroad and even governments are actively planning and formulating strategic plans. March 2012, the United States government announced a 200 million dollar "big data Research and development plan", the study of large data to rise to the national will. The European Union has also introduced similar initiatives. In this context, the Chinese Computer Society in October 2012 set up the CCF large data committee of experts, ...

Traditional data storage and management are based on structured data, so relational database systems (RDBMS) can meet the needs of various applications.

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 ...

Big data is no longer a topic for scientists, and many local governments in China have taken it as an important means of economic transformation, and have even used the large data industry as a strategic pillar industry to build data centers as urban development targets. According to the "International financial news" incomplete statistics, Hebei Qinhuangdao, Guizhou's new district, Chongqing, the Two rivers, Lanzhou new area, Hangzhou, Inner Mongolia, Hohhot, and so on, have put forward to gather resources, building large data industry agglomeration areas, including the new zone, Chongqing Liang Jiang New zone, Lanzhou new zone, but also the large data industry as a branch of the city.

In today's era of big data, businesses can learn more about consumers through a number of channels and can even understand what they need than consumers themselves. But in fact, very few companies really understand the depths of consumers, to give attentive personalized service, the enterprise is not enough intentions or the customer is too picky? In the data age, how companies should be better and faster to meet consumer spending Personal needs, to reach their psychological expectations? In the big data support, the company's personalized service will become more reliable, more popular? The rapid growth of big data and related technologies ...

When a friend asks me if I know the security of big data, I think that big data is just more data, so big data is facing the same problem as other data, is that right? This seems to have oversimplified the problem of large data. To some extent, managing large data is like taking a child, with two children doing more than twice times the amount of a child, more like an exponential relationship. As large data grows, the potential management problems will grow exponentially. For large data, you have to understand that it not only means more data, it also means more complex data, more sensitive data ...

Big data is no longer a topic for scientists, and many local governments in China have taken it as an important means of economic transformation, and have even used the large data industry as a strategic pillar industry to build data centers as urban development targets. According to the "International financial news" incomplete statistics, Hebei Qinhuangdao, Guizhou's new district, Chongqing, the Two rivers, Lanzhou new area, Hangzhou, Inner Mongolia, Hohhot, and so on, have put forward to gather resources, building large data industry agglomeration areas, including the new zone, Chongqing Liang Jiang New zone, Lanzhou new zone, but also the large data industry as a branch of the city.

Big data is no longer a topic for scientists, and many local governments in China have taken it as an important means of economic transformation, and have even used the large data industry as a strategic pillar industry to build data centers as urban development targets. According to the incomplete statistics of the international financial news, Qinhuangdao in Hebei province, the new area of Guizhou, Chongqing, the Two rivers, Lanzhou new district, Hangzhou, Inner Mongolia, Hohhot, and so on, have put forward to gather resources, building large data industry agglomeration areas, including the new zone, Chongqing Liang Jiang New zone, Lanzhou new zone, but also a large data industry ...