Large Data concepts and applications

McKinsey was the first to come up with a big Data era: "All industries and fields have been infiltrated by data, and data has become a very important factor in production." The processing and excavation of large data will mean a new wave of productivity growth and a wave of consumer surpluses. ”

The large data concept was first defined by IBM, which summed up the characteristics of large data into 4 "V" (volume volume, multiple produced, value, velocity), or four levels: first, the volume of data is huge. The starting unit of measurement for large data is at least P (1000 t), E (1 million t) or Z (1 billion t), and second, http://www.aliyun.com/zixun/aggregation/18278.html "> Data types are numerous. For example, blog, video, pictures, geographic information and so on. Third, the value density is low, the commercial value is high. Four, the processing speed is fast. This last point is fundamentally different from the traditional data mining technology.

Some have likened the data to a coal mine that contains energy. Coal in accordance with the nature of coking coal, anthracite, fat coal, poor coal and other classifications, and open-pit coal mines, mountains of coal mining costs are not the same. Similarly, big data is not "big" but "useful". Value content, mining cost is more important than quantity.

What traditional companies need large data services most? First, give a few examples: 1 to provide products or services to a large number of consumers (precision marketing), 2 small and beautiful model of the long Tail Enterprise (service transformation), 3 facing the Internet under pressure must transform the traditional enterprises (survival).

For the enterprise's large data, there is also a prediction: as the data gradually become an asset of the enterprise, the data industry will be to the traditional enterprise supply chain model development, and eventually form a "data supply chain." There are, in particular, two obvious phenomena: 1 The importance of external data increasingly exceeds internal data. In the internet era of interconnection, the single enterprise's internal data and the entire Internet data is only drop 2, can provide the data supply, data integration and processing, data application and other links to the services of the company will have a clear integrated competitive advantage.