Big Data Refers To

"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 ...

Hang Seng Index Day Line Trend Chart "Our News" (reporter Lindfing, this newspaper Shanghai News Center reporter Lingxiang) entered the first trading day of June, China and the United States announced the ideal of manufacturing data, stimulate Hong Kong equities, Asia-Pacific stock market and last night, European stocks, U.S. stocks were made good. Among them, Hong Kong stocks close to Wanji, a big rise 717 or 3.95%, close to 18,888 points, a new high of more than 8 months, deal 1,002 700 million yuan to a two-week record. By the opening of the U.S. stock markets last night, its manufacturing and consumer spending figures were better than expected, diluting GM's filing for bankruptcy protection, with the Dow rising more than 200 per cent in the middle.

The data again "big" no useful is equal to zero, to collect "slow data" "Live data" on the internet every moment in the production of data, people's lives everywhere in the various devices, such as computers, mobile phones, smart appliances, sensors and so on, can always leave traces of human behavior, real-time data generation, These increased geometric levels of data deposition on the Web, become large data. These large numbers of data again "big" no useful is equal to zero, to collect "slow data" "Live data ...

Recently, I returned to attend some university seminars, government departments of the symposium and the training activities of enterprises, the theme is large data, nowadays, the major domestic newspapers and magazines are also discussing this hot topic, but I found that the Chinese society on the "big data" concept still some inaccurate understanding or even the concept of misunderstanding, In particular, the strategic significance of large data at the national level is underestimated and needs to be deepened. Small data to large data "big data" is a new wave of technology, but also gradually formed a historical phenomenon, its specific refers to the increase in the amount of information storage, the human in practice gradually recognized ...

We have all heard the following predictions: By 2020, the amount of data stored electronically in the world will reach 35ZB, which is 40 times times the world's reserves in 2009. At the end of 2010, according to IDC, global data volumes have reached 1.2 million PB, or 1.2ZB. If you burn the data on a DVD, you can stack the DVDs from the Earth to the moon and back (about 240,000 miles one way). For those who are apt to worry about the sky, such a large number may be unknown, indicating the coming of the end of the world. To ...

Big data hit many years ago, the industry was discussing a topic: How to deal with massive data? In particular, some need to store a large number of user data industry, finance, telecommunications, insurance and other popular industries. Users almost every hour of the day, are likely to produce a large number of data, these industries storage equipment, must be the data generated during the period of meticulous record, in order to prevent loss, but also must do backup, but also have to do off-site disaster recovery backup, which is not finished, business interruption events can not exceed the number of time range, Otherwise it is a major accident, so must be through the IT system assurance industry ...

If only a large amount of structured data, then the solution is relatively simple, users to buy more storage equipment, improve the efficiency of storage devices and other solutions to such problems. 　　However, when people find that the data in the database can be divided into three types: structural data, unstructured data and semi-structured data and other complex situations, the problem seems to be less simple. Big Data hits when the type of complex data hits, then the impact on the user IT system will be another way to deal with. Many industry experts and third party investigation agencies through a ...

The hottest science and technology terms for 2013 are none other than "big data," and related books have long dominated the list of bestsellers, giving unprecedented attention to big data. The new ideas brought by big data are gradually penetrating into every industry and changing the way we all think as creators of data. Before the advent of big data, it was a period of rapid development of technologies such as the Internet, cloud computing and Internet of Things. With the popularization and extensive construction of information terminals such as intelligent terminals and digital cities, anyone at any time, anywhere ...

[Large data 100 points] Presenter: Bai Moderator: Carey Organizer: Zhongguancun Large data Industry Alliance zhongguancun Large Data Industry alliance specially invited white teacher to take the first "Big Data 100" Forum keynote speaker! Bai is a chief engineer of Shanghai Stock Exchange, Ph. D., PhD. She is a ph. D. tutor at the Institute of Information Engineering, Chinese Academy of Sciences. Also serves as the executive director of Chinese Information Society of China, vice chairman of the Securities Sub-Committee of the National Financial Standardization Committee. White teacher research and work in the field across the academic, industrial ...

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 ...