US startups launch Big data analysis Service revolution

I believe many people have heard the word "big data". Yes, we are a group of people living in the age of large data. Data everywhere is a true portrayal of our environment. Data flow and processing has long been monopolized by some http://www.aliyun.com/zixun/aggregation/4065.html "> Internet giants" because of its complexity and high cost characteristics, according to the February 2 issue of Wired magazine. Now, some small companies gradually have the ability to process data. What kind of change will this bring to the dusty market pattern?

More than 400 years ago, there was an astronomer named Spaatz. Every night he would watch the night sky overhead and record the changes in the stars. After 30 years of persistence, he died in obscurity. But you must have heard of his descendants----Johannes. This epoch-making great man discovered the Three laws of celestial motion, directly proving the Earth's orbit around the sun. However, it is worth noting that the Kepler study was directly based on the observational data of Spaatz for more than 30 years. It can be said that without those detailed data there will be no subsequent discoveries.

But the collection of data cost Spaatz a lifetime of time and energy, which is obviously unacceptable to ordinary people. Its selfless scientific spirit is worthy of respect, but in the final analysis for others to do the wedding dress. How to avoid such embarrassment? This is the original intention of Keenio company. Company founder Ryan explains that keen will collect data like Spaatz and offer them to companies in need to help them become the next Kepler.

At present, the dilemma of large data processing is complex and costly. Previous companies have tried to simplify, but the efficiency of analysis has been reduced. Keen's goal is to find a balance between efficiency and the economy. "We will provide you with a 100% of the software that suits you." "Kyle, the company's chief executive, said confidently. Recently, the company received 2.35 million U.S. dollars (about 1420 million 9001.html "> RMB) of the VC. is progressing steadily according to predetermined objectives.

Today's keen has been able to provide a range of application interfaces, in addition to uploading data to the necessary link, other parts such as data access and cutting are as you wish, in the current fashion, you can achieve data processing "private customization." Or are you worried that the steps are too complicated? The company can give you intuitive guidance and advice, all the complicated operation to keen, and finally appear in front of you must be ordinary people can understand things.

In fact, internet giants such as Google and Amazon also provide data Analysis Services. In this respect, Keen's coping strategy is to give users more control. At this point, Edward Daolin's words are very representative. As a small business owner, Dorian has his own needs for data analysis. "Keen can not only provide services anytime, but more importantly, I can follow their own preferences to operate, this is the other service providers can not meet me." Said Edward.

So far, it can be said that the future of the big data age is beginning to emerge. Providers of data analysis will be modular, analytical requirements for companies to build their own analysis tools, as simple as building blocks. At present, this is the magic weapon of keen. But with the popularity of this model, competition is bound to get fiercer again. But in any case, letting consumers enjoy a better service is exactly what we want to see, and keen is clearly coming out of a solid first step. (Internship compilation: Jiang Yang: Neirubin)

(Responsible editor: The good of the Legacy)