Deep-digging pipeline value ZTE Bokhary data

1980, the famous Futurist Toffler in the third wave of the book, the big Data enthusiastically praised as "the third wave of the CLS movement."

Today, the third wave is finally coming, and governments and companies around the world are taking different actions to meet the data revolution. The U.S. government invests 200 million dollars to launch a big data program, and the Singapore Economic Development Council has funded the establishment of the Deloitte Institute of Data Analysis, which aims to lead government and business research and application of data.

Take a look at some business actions. GE has invested 1.5 billion of billions of dollars in building a global software and Analysis Center in the San Francisco Bay Area, and is hiring at least 400 data scientists as part of its global research and development arm. And the domestic leading Internet enterprise Alibaba, Baidu, Beijing East 360 have started to study large data.

Compared with the global data market, the Chinese market is still in its infancy, with a total lag of 1-2 years in Europe and the United States.

"Yes, the data is the new oil, the big data this gold mine, not only IBM, Oracle and other traditional IT vendors in action, telecommunications equipment manufacturers are also gearing up." ZTE has been familiar with the data market for many years and has considerable confidence in the market. "ZTE Large data chief Engineer Ye in the communications Industry newspaper (NET) reporter interview.

The change of thinking

Ye that in the development of large data, data is the source and power, the big data brings not only the change of data quantity, but also the change of thinking. The change is embodied in three aspects: the change of sample data or local data to the whole data, and the change of data to process data, static storage data to dynamic stream processing data.

"Only by adapting to these three kinds of changes can we really achieve the goal of big data." "Ye said.

Although the company has been involved in the big data of the revolution, but there are indeed some of the initial cloud computing some of the phenomenon of virtual heat. Liubo, general manager of China Unicom's information technology department, has said that the big data concepts that different vendors send to us are not the same, what is the big data, we can't be sure, this is the first challenge for us to do big data. His views represent the concerns of most companies trying to get big data.

In response, Ye explained that large data is a dynamic activity across multiple it boundaries, so there is currently no uniform definition and standard for large data. However, the industry has reached a consensus on the 4V features of large data.

First is the Sea quantification (Volume). The Digital Universe Study report, released by IDC in 2011, shows that the total amount of global information will increase by one fold every two years. In 2011 alone, the total amount of data created and replicated globally was 1.8ZB. Compared with a 2010 increase of more than 1ZB, by 2020 this value will increase to 35ZB. Data capacity is growing faster than Moore's law.

The second is diversification (produced). In the Web1.0 era, the enterprise data is mainly structured data, but now enters the Web2.0 and even the Web3.0 era, the unstructured data already occupies the absolute mainstream. The analysis shows that the growth rate of structured data is 32%, while the growth of unstructured data has doubled to 63%, and currently the global unstructured data accounts for more than 80% of the total data.

The third is rapid (Velocity). Nowadays, enterprises are facing more and more serious competition environment, if they can grasp the market dynamics in time, and can quickly develop appropriate operation strategy, become the key to improve the competitiveness of enterprises. The response, at the data level, is a real-time insight into the data.

The value of the four. "If the big data just stays on the level of data aggregation, it's not enough." What people ultimately value is the enormous economic value that is brought about by the analysis and processing of large data. Value is actually the ultimate meaning of big data. Ye to reporters.

(Responsible editor: The good of the Legacy)