The Data Is Or Are

If the software is devouring the world, as Mark Andriessen, a well-known VC, says, the big data should be saving the world, right? In the past two years, the word "big data" has been abused in newspapers. It generally refers to a series of techniques used to analyze massive amounts of data that exclaiming conventional tools. The "Big Data" boom has left many executives wondering if their companies are going to come up with something like that. This phenomenon looks much like the 60 's in the last century, when the computer, which was still in its infancy, was unusually expensive, but its futuristic color still made the public ...

&http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; In recent years, with the rapid development of cloud computing and large data, "Big Data" and "cloud computing" have become the most fashionable words in the present. From the IT industry to the financial sector, to the logistics sector, marketing, and even the medical sector, education ... 　　Almost everyone outside the boundary has quickly formed the mantra of "pro cloud" and "speech must be the data". But if you do encounter a "...

What is big data from Baidu Encyclopedia to the definition of large data: large data, or huge amount of data, refers to the magnitude of the data involved can not be through the current mainstream software tools, in a reasonable time to achieve capture, management, processing, and collation to help the business decision-making more positive purpose information. 　　Gartner has given the definition that "big data" is a massive, high growth rate and diverse information asset that requires new processing models to have greater decision-making power, insight and process optimization capabilities. The embodiment of large data ...

Whether it is a Web analytics tool, BI Report or data, it is difficult to see the data isolated point of view, usually the data is in the form of sequence, grouping and so on, the reason is very simple, we can not find from a single data, the data used for analysis must contain context. The context of the data is like setting one or more reference lines for each metric, and analyzing the pros and cons of the data through these references and the comparison process, like the physics of the middle school ...

In 2006 Jonathan Goldman went to the business social networking site, LinkedIn, when LinkedIn was just a start-up, with fewer than 8 million registered people, but many members invited their friends and classmates to join, so the number of registrations increased rapidly. But it is not easy for users to find users who are already registered on the site, and the ratio does not meet the expectations of managers. Obviously, some social experiences are missing. As a LinkedIn manager says, it's like, when you get to the conference reception, you find someone ...

Introduction: Now More and more public emergencies, especially such as man-made emergencies, such as the recent Stampede events in Shanghai, the Internet or large data, can play some positive energy role? To prevent the recurrence of such tragedies? This session of the IT Hall of Fame is the founder of star Ring Technology, Mr. Sun Yuanhao, and we had an exclusive interview at the 2015 China Hadoop Technology Summit. Sun Yuanhao that, can use some new technical means to detect the change of Waitan flow of people, for the public Security departments and transport departments to provide some information guidance, such as photo ...

At ordinary times, whether the user research, product operation or competitive analysis, the analysis of the data, if there are some differences in the project who can not convince who, many times is also to take data to speak, visible in the development of products, statistics and analysis of the data is very important. Everyone said that the data is objective, but in fact, the data by the background environment, statisticians, statistical methods, analysts, such as the impact of multiple factors, so that we are in statistics and analysis often fall into the wrong, not the right answer. Let's say a few two common misconceptions about data. Misunderstanding one ...

Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnosis Taobao guest Cloud host technology Hall recently appeared a more than the letter B fire Word-" big data. The big electric business platform about this big data post overwhelming. It's all about the importance of data to the Internet. 　　Countless experts began to busy making the pitch, where there is a spring ah! The internet age itself is the time when data rules the world ...

As more security vulnerabilities and data counterfeiting events become international headlines, companies are taking steps to address the growing number of high-level persistent threats, data fraud incidents and internal attacks.     Traditional security technologies lack the ability and predictability required to detect these attacks and to protect them from these attacks. Traditional security technology can only solve a single aspect of the problem at best. Smart cyber criminals can circumvent these defenses and dive into the background of an enterprise's operating page to attack. He ...

Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest cloud host technology Hall to the website innovation is a lot of friends want to do and do not dare to do things, most of the owners have experienced the revision of the pain, They think that after the revision not only users are not satisfied with the site is more likely to lead to a search engine on the site's trust to reduce, in the face of this situation will have to talk about if the revised innovation network ...

With the country's strategic thinking of promoting big data to promote economic and social transformation and development, the construction of big data platform is now the focus of government informationization construction, and provincial governments rely on a strong information system to take the lead.

Ai technology plays an increasingly important role in the field of large data, and it technicians have an increasing interest in IBM Watson. Recently, Li Yonghui, an outstanding engineer at IBM's Ministry of Science and Technology, attended the 2014 China Large Data Technology conference and received an exclusive interview with CSDN Cloud computing, taking Watson as an example to analyze the practice and prospect of the application of AI technology in the industry. Li Yonghui that, through the combination of structured data and unstructured data to generate wisdom is the future direction of large data, the cognitive computing technology represented by Watson is to achieve this goal, its ability to ...

I've heard from American colleagues about one thing: a client of an advertising company happens to be a Marine colonel who is talking about data reliability. The colonel said: "If I get an intelligence on the battlefield, even if I am not 100% sure of the accuracy of the information, I will still make decisions based on intelligence." "He strongly believes that intelligence is better than no intelligence-we cannot ignore the information simply because it is not reliable." Some would consider the colonel a "small data" supporter. Recently there has been a large number of discussions around the "big data", with large numbers of large data, speed, and many kinds of special ...

When we talk about the knowledge system of Internet user researchers, we should know that the knowledge system of Internet users ' researchers includes but not limited to: basic theory, logical thinking, tool use, oral expression, report writing, and Internet industry common sense. The basic theory for research is based on the knowledge of various methods such as usability test, card classification and so on UCD. Of course, the most important of these is the part about the research method (not much here, because I think a lot of books can be bought). For more information, see About user research logic ...

2014 Zhongguancun Large Data day on December 11, 2014 in Zhongguancun, the General Assembly to "aggregate data assets, promote industrial innovation" as the theme, to explore data asset management and transformation, large data depth technology and industry data application innovation and ecological system construction and so on key issues. The Conference also carries on the question of the demand and practice of the departments in charge of the government, the finance, the operators and so on to realize the path of transformation and industry innovation through the management and operation of data assets. In the afternoon of the operator @big Data Forum, ...

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" has become one of the hottest concepts on the Internet, and I've seen many entrepreneurs start talking about the commercial value of big data, entrepreneurial projects must be linked to the "big data", some people are the "big Data Age," a book as a Bible, as if only to buy a sacrifice in a corner of the home, they are qualified to talk about wide, Jiangshan. But in fact, although the book insights into the trend of data analysis and worries, but because the author Viktor Mayer Sch Nberger is a typical academic school, and there is no worthy of the practical experience, leading to the lack of this book ...

Before the tiger sniffed an article "Big Data industry two big mistakes", many friends evaluation is good, by this incentive, combined with the recent witnessed, experienced projects, want to write more. After the author summed up, found that large data is really a lot of misunderstanding, especially in the country, many people to the false assertion, resulting in a lot of basic concepts deviation. After an article, and then to talk about a large number of errors in the data, for everyone to shoot bricks. Myth Three: The data volume is particularly large to call large data in the "Data ..."

In terms of how the organization handles data, Apache Hadoop has launched an unprecedented revolution--through free, scalable Hadoop, to create new value through new applications and extract the data from large data in a shorter period of time than in the past. The revolution is an attempt to create a Hadoop-centric data-processing model, but it also presents a challenge: How do we collaborate on the freedom of Hadoop? How do we store and process data in any format and share it with the user's wishes?

Page 1th: The desire for large data Hadoop is often identified as the only solution that can help you solve all problems. When people refer to "Big data" or "data analysis" and other related issues, they will hear an blurted answer: hadoop! Hadoop is actually designed and built to solve a range of specific problems. Hadoop is at best a bad choice for some problems. For other issues, choosing Hadoop could even be a mistake. For data conversion operations, or more broadly ...