Who will share the wisdom Feast of "Big Data"

In the US capital market is still in a lingering pattern of recovery, the U.S. data collection and analysis software provider Splunk's IPO is particularly eye-catching.

On the first day of the IPO in Thursday, Splunk a 32.19-dollar price shock higher, closing at 35.48 U.S. dollars, the price of 17 U.S. dollars increased by 108.71%. By Wednesday, the share price remained at 35.48 dollars. Earlier, Splunk, who planned to go on the Nasdaq listing, announced a price range of $8 trillion-10 U.S. dollars, issuing 13.5 million shares and raising funds for 122 million dollars.

Splunk's stock performance was encouraging when the US stock market was still in shock and the number of jobless claims, second-hand housing sales in March and the Philadelphia Fed's manufacturing index in April were all worse than expected. However, according to Splunk's operating results, the company's revenue has achieved 72% per cent growth in the last 9 months, but is still not profitable.

It can be guessed that Splunk's popularity, in addition to its rapid performance growth, I am afraid also inseparable from becoming a technology hotspot of the "Big Data" (large) concept. In fact, large data is a new concept that has been widely pursued after the rapid development of Internet, cloud computing, mobile and IoT.

What is "Big data"? The industry is still in dispute. An IT industry senior technical Personage tells a reporter, the network data digs the estate is not fresh, originally everybody called it "CEP", just did not prevail. The concept of "distributed computing" has not been successful, but the evolving "cloud computing" is now a relish.

Of course, the rise of "big data" can not be separated from the great changes in technology ecological soil in recent years. Today, ubiquitous mobile devices, RFID, wireless sensors every minute of the production of data, a large number of data generation gives the data processing analysis of higher real-time, effective requirements. At present, the "Big Data" in the mobile, financial and other fields of application value highlighted.

However, Xie that "big data" is a human-centred, through interpersonal relationships to complete the dissemination of information, resulting in large numbers of new "wisdom system." At present, in the global scope, can develop "big data" strength of the company only Facebook, Google, Apple and Microsoft, such as a small number of platform-wide companies.

"Big data" means everything, Xie says. "When countless scientists and machines dig into 80%-90% of human behavior, the resulting business model transformation will be a tremendous change." "To give a simple example, read the news on the website before, that's not true data mining." Because the system records, which Web site which manuscript is the most popular, rather than really people-centered in-depth research.

An earlier company engaged in data analysis and management, the senior vice president of National double science and Technology, said, "the previous data mining is mainly in the stage of structured data mining, such as: mobile, financial and other enterprises within the information collection." At present, with a large number of unstructured data generation, such as: Human behavior, rich media, climate change and other content, has put forward new challenges to the industry. ”

However, a new wave of wave, the company can seize the "wisdom Feast" will be rare. In China, the industry believes that a few platform companies such as Tencent, Baidu and Alibaba are expected to succeed within a certain range. Prior to that, Taobao's cat CEO Zhang Yong told reporters, "Taobao Data Mining Center is the company's most important strategic department, the future, Taobao's goal will be from the ' thousand people ' five-side ' hit ' Thousand Faces '." ”

But from the broader definition of "big data", software companies that are at the base of the industry chain are naturally important components. Industry speculated that the possible future division of labor, IBM, Oracle and TIBCO and other traditional data mining companies will provide basic services, such as: Model Building, cloud computing services, the Internet platform based on its own accumulation of massive data to do in-depth business model mining.

It is understood that in the past some old data analysis companies are also trying to a distributed system based on a new generation of data mining transformation. Just, is still in a mixed, mixed stage.

(Responsible editor: The good of the Legacy)