Big data goes from "concept" to "value", based on large data recommendations and forecasts gradually popular, data science will rise, security and privacy become an important issue, the large data industry into a strategic industry-this is the Chinese Computer Society large Data Expert committee on the "Big Data" 2014 Ten trends in the prediction of the content. In this forecast, it also includes data commercialization and data sharing alliance, large data ecological environment development and so on. At the same time, the large data experts committee predicts that 2014, the Internet and E-commerce, Finance (stock market forecasts, financial Analysis), health care (epidemiological monitoring and forecasting ...).
Big data goes from "concept" to "value", based on large data recommendations and forecasts gradually popular, data science will rise, security and privacy become an important issue, the large data industry into a strategic industry-this is the Chinese Computer Society large Data Expert committee on the "Big Data" 2014 Ten trends in the prediction of the content. In this forecast, it also includes data commercialization and data sharing alliance, large data ecological environment development and so on. At the same time, the large data experts committee predicts that 2014, the Internet and E-commerce, Finance (stock market forecasts, financial Analysis), health care (epidemiological monitoring and forecasting ...).
Big data goes from "concept" to "value", based on large data recommendations and forecasts gradually popular, data science will rise, security and privacy become an important issue, the large data industry into a strategic industry-this is the Chinese Computer Society large Data Expert committee on the "Big Data" 2014 Ten trends in the prediction of the content. In this forecast, it also includes data commercialization and data sharing alliance, large data ecological environment development and so on. At the same time, the large data experts committee predicts that 2014, the Internet and E-commerce, Finance (stock market forecasts, financial Analysis), health care (epidemiological surveillance and ...)
Reasons for implementing large data Strategy (a) large data has become important strategic resources large data is as important as natural resources, human resources and strategic resources. The United States suggests that big data is strategically comparable to industrial-era oil. The large data industry in the United States has entered a large-scale commercialization phase and has penetrated into many fields such as economy, politics, education, security and social management. The Obama team applied large data analysis to the campaign, digging through the massive data collected and stored over the last two years, searching for and locking potential voters, using digital strategies ...
Large data, the entry coincides with its time, in recent years, large data is not a fire, especially in 2017, the development of large data industry was written into the government's work report, large data began not only in the enterprise strategy, but also began to appear in the government's planning, can be said to be the darling of the 1, the importance of large data in recent years, with the development of science and technology, the rapid progress of computer technology, large data and intelligent operational dimension is becoming more and more important. On the big side, big data will play an important role in promoting China's economic transformation: first, through the analysis of large data can help solve China ...
According to Http://www.aliyun.com/zixun/aggregation/18224.html, a Gartner analyst at > Market research firm, the notion that big data hype has peaked is likely to fall to the "disillusionment trough" (trough of Disillusionment). Companies are exploring how to use large data to analyze and understand the vast amount of information they store. But Gartner says big data has reached the point where people are expected to swell. According to the GAR ...
In the UK, big data has long been more than just a hot new term in a science forum, with a growing number of government-invested, already-running university data research centers, and a growing business effort, which clearly shows that Britain is opening up an era of big data technology. The government has made big data a "new economic growth point" in recent years, the UK economy has been in a slump and the weak economy has strained government spending. Under such a severe financial background, the British government is more eager to strengthen the country's international competition by supporting the development of new hi-tech technology.
With the development of sensor technology and the maturity of large scale computing base units, a large number of data are produced, including social media data, meteorological data, geo-map data, traffic flow data and so on. These big data will undoubtedly help us to better identify and solve the city's problems. According to Wikibon's report, the global data market in 2013, the overall size of 18.1 billion U.S. dollars, the annual increase of 61%, is expected to continue to maintain a growth rate of 30% per cent by 2017. And the Ministry of Communications Research Institute recently released the "Big Data white paper" pointed out that the current and future one ...
The big data from the Silicon Valley goes from "concept" to "value", based on large data recommendations and forecasts gradually popular, data science will rise, security and privacy become an important issue, the large data industry into a strategic industry-this is the Chinese Computer Society large Data Expert committee on the "Big Data" 2014 Ten trends in the prediction of the content. In this forecast, it also includes data commercialization and data sharing alliance, large data ecological environment development and so on. At the same time, the large data experts committee predicts that 2014, the Internet and E-commerce, Finance (stock market forecasts, financial Analysis), health care (epidemic ...).
In the case of double 11 singles day traffic peaks this year, the real-time data update frequency is still stable: from the first second, the rushing party into the order payment, to complete the real-time calculation and delivery to the media full screen full path, seconds Level response.
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