Big data, those things.

Http://www.aliyun.com/zixun/aggregation/11077.html "> Business marketing, Government management, public transport, social networking, health care ... Have a deep imprint of "Big Data". The big data age has come and is overturning our traditional thinking with lightning. What is big data? What does big data bring to us? This newspaper is for you to popularize the "big data" things.

What is big data?

The first to put forward "big data" is a world-renowned consulting firm McKinsey. "Data has penetrated into every industry and business functional area and is becoming an important production factor," McKinsey said in its research report, and the use of massive data will herald a new wave of productivity growth and a wave of consumer surpluses. ”

Large data, also known as huge amounts of data, refers to the sheer scale of information that makes it difficult to retrieve, manage, process, and organize the data into useful information through general software tools. At present, the industry recognized the characteristics of large data has the following 4 V: namely volume (large), Velocity (high-speed), produced (diverse), value (values).

First, the volume of data is huge. The starting unit of measurement of large data is at least P (1000 t,1t=1000g), E (1 million t) or Z (1 billion t); Blog, video, pictures, geographic information, and so on. Third, the value density is low, the commercial value is high. In tens of thousands of messages, only a few can be used. Four, the processing speed is fast, must in the second stage time range analysis result, the time is too long loses the value. Speed requirement is the biggest difference between large data processing technology and traditional mining technology.

Where does the big data come from?

The internet alone, for example, can produce 168 million DVDs a day, 294 billion more emails, and 2 million more community posts, equivalent to TIME Magazine's 770-year text ... and the internet is full of content.

According to the statistics, the data on the internet will grow by 50% each year, doubling every two years, and more than 90% of the world's data is now in recent years. The world's industrial equipment, automobiles, electric meters have countless digital sensors, at any time to measure and pass on the location, movement, vibration, temperature, humidity and even the chemical changes in the air, but also produced a huge amount of data information.

Internet of Things, cloud computing, mobile networks, car networking, mobile phones, tablets, PCs, and a variety of sensors, none of which are large data sources or hosted.

How to use large data?

However, the huge amount of information itself is not very useful. When we talk about "big data", we refer to the processing and analysis of large data, the processing and analysis of large data, filtering and visualization, which become "useful".

There is no "model" for how large data can be used. Now that the impact of big data is not limited to the technical level, it subverts the traditional way of thinking about the world. The vast amount of data resources allow the field to begin to quantify, decision-making behavior from the past more by virtue of experience and intuition to make, based on data analysis. This is "Big data thinking", on the one hand the sample source from the sample into a "full data" sample, on the other hand focus on efficiency and trends rather than precision, focus on relevance rather than causal relationship.

People with large data thinking can translate the potential value of large data into practical benefits. The real value of large data lies in creation, in filling countless gaps that have not yet been achieved.

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