What Does Big Data Do

Innovative report from the dean of top research institutes when all our actions and our lives can be "data", the company that holds the data is like owning a rich gold mountain. 　　As Victor Maire-Schoenberg says, the big data age is "the future that has happened," and in this already-occurring future, there is no bystander. December 19, 2013, by the boutique media "digital Business Times" sponsored by the "Great data creation of the era of Subversion" 2013 China Summit Forum in Beijing to make a grand Holiday Crowne Plaza Hotel ...

In the weeks before the 2009 swine flu outbreak, Google engineers published an article in the journal Nature that shocked public health officials and computer scientists, claiming that Google was able to predict the spread of winter flu-not only to spread across the United States, You can even target flu targets to regions and states. It turns out that Google is doing this by looking at people's online search records. After the flu outbreak, Google found that the keyword associated with the flu has also seen a burst of growth in search volume. Every day, Google will receive more from the world than ...

March 31 Afternoon news, in today's IT leaders Summit "big Data Age" sub-forum, industry experts and science and technology leaders on the future development of large data on the prospects of the discussion, forum guests generally believe that the core of large data is not the volume of data, but how to mining value, Big data will change the traditional personal life and business model. Harper that the big data is part of cloud computing, and Kingdee Shaochun that big data is not a new concept, but that new technologies such as mobile internet, cloud computing, social networking and so on have brought a new change to big data; Han can capital Chen ...

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 ...

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 ...

Now everyone is talking about big data, but in fact, much of the talk is too exaggerated. Employment data show that large numbers seem to be needed by corporate recruiters. However, more data suggest that companies do not know what to do with these big data professionals. However, more important than large data itself is the analysis and management of large data. This trend is allowing server Automation configuration system tools to emerge in large numbers. Puppet is the power behind the "DevOps" trend. As dice.com data shows, Puppet is a tidal wave ...

In the "Up" section of the big data on Silicon Valley's observations (http://www.china-cloud.com/yunjishu/shujuzhongxin/20141208_44107.html?1418016591), I have basically combed through a relatively complete shape of the big data growth situation in the Silicon Valley region. A friend saw the "next" after the notice on the micro-blog to give me a message, I heard that the next chapter to introduce some of the company's large data department, ask if you can add a Google, especially Google ...

In the late 80 and the early 90, an intriguing phrase was widely circulated at home and abroad: we are immersed in the ocean of data, but thirst for the fresh water of knowledge. This sentence vividly depicts people in the face of the vast numbers of confusion and helplessness. Just then, Wal-Mart, the world's business giant, deduced a "beer and diapers story" from its vast trading database. Reveals a pattern of behavior that is hidden in the vast numbers of Americans: Young Fathers aged 25-35 often go to the supermarket to buy diapers for their babies after work, and 30%-40% People ...

Like a high bonus car Grand Prix, first prepare the car, familiar with the track, and then adjust the good mentality, timely sprint, to get a good position. The big data also has the gestation period, the preparation period, the result originates from the demand and the desire. 　　Each period has pain points and difficulties, the result is the best. Big data has big energy. It is significant for economic growth-"in the US, in retailing and manufacturing alone, big data analysis has the potential to raise GDP by 325 billion dollars." "This is an exciting estimate from analysts. In the global economic growth slowdown and even fatigue is all the more urgent need for new ...

Large data is undoubtedly one of the most popular hot words in the IT field at present. Almost everything has to hang up a little bit of data, otherwise it looks like you out. I believe most people can say four features of large data: large capacity, variety, speed and high value. But as people become more aware of big data, people begin to talk about what value big data can bring to people. Where is the future service direction for large data? Today I'll talk to you about the future of the big data of the ten development direction: direction One: Large data analysis field of rapid development of data reserves value, but the price of data ...

Large data is undoubtedly one of the most popular hot words in the IT field at present. Almost everything has to hang up a little bit of data, otherwise it looks like you out. I believe most people can say four features of large data: large capacity, variety, speed and high value. But as people become more aware of big data, people begin to talk about what value big data can bring to people. Where is the future service direction for large data? Today I'll talk to you about the future of the big data of the ten development direction: direction One: Large data analysis field of rapid development of data reserves value, but the price of data ...

Over the past few years, with the transactional IT to interactive IT transition, corporate data began to show an explosive growth. Due to the rise of social media, the massive applications of digital sensors and the popularization of mobile devices have directly led to the rapid emergence of various large amounts of big data. This kind of multi-structured data market value is not high, but the huge amount of data contains a hidden huge wealth. Thus, how to effectively manage big data has become a topic of concern to the industry. According to 2011 Unisphe ...

The Data Platform Business Unit first used not the MaxCompute (original ODPS) currently in use, but Hadoop. The original Hadoop cluster was named Cloud Ladder 1. At that time, Alibaba was also developing its own computing platform, which was the original ODPS, and named it. Cloud Ladder 2.

The term “big data” has been on fire for several years. In the last one or two years, the limelight seems to have been taken away by the concepts of artificial intelligence and deep learning, and has gradually become a “out of gas” technical vocabulary.

We are about to usher in a "big data era." And the change has always been the Chinese enterprises how far from this revolution? How fast to catch up with the revolutionary leader? How can we use big data? How to solve obstacles? China Entrepreneurs Research Institute interviewed more than 10 leading companies in big data applications, and more companies conducted written research. We found that: ■ Currently, Chinese enterprises Big data applications can be classified as: big data operations, big data products, big data platform three = field, the first two more is the internal application, the latter ...

For companies, 100 theories are not as practical as a successful benchmark. The main idea of this paper is to find 49 samples of “doing” big data.

"Through the excavation of large data, from the integrity of the data, the sincerity of friends and account security rating users ' reliability '." "A famous matchmaking website recently advertised that it could use" big data "technology to crack down on dating crooks. Today, "Big data" is a fashionable word, many businesses have launched "Big data" services. Large data technology research and development institutions around the world attract many VCs and eyeballs. Big Data makes a person bright, also let a person two eyes one black. September, the famous Information Technology analysis company Gartner published the "2013 large data dissemination of hype behind the" Report ...

Entertainment, hear the word, always think of downtown, extravagant, and complex. But in such a circle, the entertainment industry, which was originally a long way from the Internet, has now made use of big data for various attempts. If Ai Man Technology as a film and television industry behind the scenes, it has long been a Wrist. Both "Little Times" and "Beijing Love Story" made two domestically produced films with good box office results. Its behind the scenes Ai Man technology to provide big data support. After 2013's "Little Time 1" on the upper court in June, Ai Man Technology's big data system found that the audience had a directing on Guo Jingming's director skill ...

Internet thinking and Internet technology are two important parts of the Internet in the transformation of finance. These two are like the relations between worldviews and methodologies, which are mutually reinforcing and inseparable. Internet technology from a deep, specific point of view can be divided into: big data, P2P networks and organizations on both sides of the market. Big data is one of the most important factors. Although finance has no physical physical production, warehousing, logistics and other processes, it itself is the production, warehousing, mining, transmission, analysis and integration of data. So big data for finance, is a very important seat. ...

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