Big Data Abstract

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 ...

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

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 commercial revolution large data is layered, including large data 1.0, 2.0 and 3.0, here are introduced separately. Large Data 1.0 If you use a key word for large data 1.0, that is analysis, deeper, better analysis technology. As a matter of fact, members of the Hequan have just said a lot of examples and I would add some more. More interesting is the large medical data, which is more of a "quantification of the Ego", it is through a hands-off approach, some so-called medical sensors to our side, such as we wear a wrist watch, a ...

"Tenkine Server channel April 11 News" Large data era, the data has penetrated into various commercial areas, become one of the strategic assets of enterprises. Mastering more data means having more potential to get data. 　　At the same time, the drastic transformation and change of the user's demand make the data center's construction, management and operation face unprecedented challenge, the enterprise is facing more and more pressure, how to build an efficient operation of the data center is imminent. As a well-known network equipment manufacturers and solutions provider, DCN (Shenzhou Digital Network Co., Ltd.) in-depth insight ...

In recent years, large data in our country has been the unanimous attention, all walks of life has raised a big attention to large data, the upsurge of application of large data. This rapid acceptance of new things, reflects China's reform and opening-up, modernization of the public awareness of the gratifying situation, encouraging. However, due to the rapid development of http://www.aliyun.com/zixun/aggregation/13568.html "> Large data technology, some of the mistaken knowledge of the swallowed is also circulated, if not corrected in time, will result in large data ...

First of all, do not think that read this article can become a big data master, otherwise it will not use the word "cultivation", to cultivate into large data master is not an easy thing, can be said to be very difficult one thing. Or not even the big data source-the United States does not exceed 10 people (perhaps 5, 6) to reach this level, in China ... 　　Forget it, I won't say it. This article is actually for you to refer to a process unusually difficult, but the future is very bright road. No perseverance, look at the good, never seriously. (To be honest, even if you want to see this article ...)

Whether you favor or reject it, big data has become a fact.     Now we have to go back to the facts and explore the truth ... Big Data is one of the hottest topics of the day, and none of us can be in it. Like the cloud that emerged a few years ago, big data has caused widespread concern in the marketplace, and there is an urgent need for companies to define big data.   Large data lacks a standard and pervasive definition, at least not as widely accepted as NIST's definition of cloud. &nbs ...

Data, is a relatively abstract noun, the use of data and research has a long history, processed data can be used as an important reference for people's behavior, small to day-to-day consumption to business operations, national decision-making, economic areas of data use is more comprehensive and in-depth, the model derived from the data in various decision-making plays an important role, 　　As one of the fastest growing business models, the use of electronic commerce in data is still in its infancy. With the rise of the Internet, the concept of data has undergone a fundamental change, the early 20th century, mathematics, physics and other natural science has been data applications ...

Starting last year, the word "big data" began to appear frequently, whether in the Internet or in other industries. The "concept" nature of things in China's internet circle can always be spread quickly, there are many reasons, there is a whole atmosphere: most Internet entrepreneurs are hoping to change the world through forward-looking innovation, by the pursuit of capital, and finally the cash. In this process, the concept of rapid dissemination, packaging, become a variety of tagged products. 　　But the pragmatist only passively accepts, lacks the correct cognition profound exploration. As can be seen from the following figure, 2008 ...