Cloud computing trends: massive data will play a central role

With the development of cloud computing, the new data (position, state, what you see, what you hear, what you think, what you say ...) is produced every day and every second of everything in the world. have been able to be more complete and rich in digital, and all linked to the Internet. As I've said, Cloud computing is the biggest technology trend and the new generation technology based on the Internet. Broadly, in addition to the infrastructure level of new hardware and data center, distributed computing, mass data storage and processing technology, but also include more communication between people (social network), terminal equipment Diversification (mobile), ubiquitous data collection methods (Internet of Things), And a new generation of natural user interface, user experience.

Among them, the massive data will play the central role.

Internet companies have the biggest advantage over traditional industries, including software and hardware and telecoms manufacturers, is that virtually any middle tier is eliminated, and all end-users use the product's behavioral data to be easily stored on the server; Through the mining, analysis and graphical presentation of these massive data, the user's behavior pattern can be clearly revealed, Deepen the understanding of user needs, extract the collective wisdom of users, so as to provide the basis for product research and development personnel decision-making, while increasing the level of intelligent system, improve product user experience. And the social network is further, the user is to login even real name mainly, can provide personalized service for each person.

As early as 2005, Tim O ' Reilly, the main advocate of the Web 2.0, emphasized in the classic article "What is Web 2.0" that "data is the new Intel Inside", which means that, like the PC-era Intel chip is the core, data is the core of the next generation of computing. (Read this carefully, we'll find the close relationship between cloud computing and Web 2.0.) ）

2007 Google admits that in many cases massive amounts of data are more important than good search algorithms. And its rivals have recently complained that the gap is mainly in the accumulation of user search data. Many of Google's products, such as translation and voice input, also benefit from massive corpus support. In 2009, Google's research director Peter Norvig and others published the article "The unreasonable effectiveness of data," and came to the conclusion that a simple model combined with a large amount of data is more effective than a compact model with less data. Perhaps because of this, Google chief economist Hal Varian insists that data scientists will be the most attractive jobs for the next decade, and that managers and even schoolchildren should have the ability to process data, extract insights, understand it, and express it.

Facebook is also a well-known data-driven ubiquitous company. In 2006, to find out why Facebook was unpopular in some schools, the company hired data scientist Jeff Hammerbacher (now the chief scientist for Cloudera) from Wall Street, and he and several other colleagues formed the first Data team Unknowingly developed a business intelligence system. This is an important foundation for the future success of Facebook, not only to support engineering teams well, but also to play a key role in product design decisions-their designers can write code, use real content and pages to make prototypes, and then go online to test, quickly iterate, The design team submitted 40 times a week in 2009.

It can be imagined that with the development of cloud computing, the new data (position, state, what you see, what you hear, what you think, what you say) every day of everyone in the world. have been able to be more complete and rich in digital, and all linked to the Internet. In recent years, Internet innovation almost all can be included in this model: Google will each search and go to store down, Facebook will be a variety of interactions between people digital, Amazon, Taobao and other e-commerce sites will be the distribution of information, people's purchase preferences digital, Twitter such as Weibo will people fleeting thoughts and conversations recorded, Foursquare and other lbs applications will be the information recorded there, Instagram, Color and other mobile applications to capture instant pictures and audio, video ...

The enormous potential of this will be unprecedented and far-reaching. The competition between Internet companies and even more industry companies will revolve around who has more detailed user data and can use it well. It is possible to build an intelligent system to achieve the artificial intelligence dream of computer science for a long time.

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