What is the thinking in the era of big data?

First, the principle of data core: from "process" core to "data" core

In the era of big data, the computing mode has also changed, from the "process" core to the "data" core. The distributed computing framework of Hadoop system has always been a paradigm with "data" as the core. Unstructured data and analysis requirements will change the upgrade mode of IT system: from simple increment to architecture change. New thinking under big data-the change of computing mode.

Second, the principle of data value: from function to data.

What's really interesting about big data is that data becomes online, which is precisely the characteristic of the Internet. The function of the product in the non-internet period must be its value, and the data of the product in the internet today must be its value.

Third, the principle of full sampling: from sampling to requiring all data samples.

You need all data samples, not samples. What you don't know is more important than what you know, but if there is enough data now, people will see and feel the law. With so much data, people feel that they have enough ability to grasp the future, judge the uncertain state and make their own decisions. These things sound primitive to us, but the way of thinking behind them is very similar to the big data we are talking about today.

Fourth, the principle of focusing on efficiency: from focusing on accuracy to focusing on efficiency.

Big data focuses on efficiency rather than accuracy, which indicates that mankind has taken a big step forward in seeking to quantify and understand the world. Many things that could not be measured, stored, analyzed and appreciated in the past have been digitized, with a large amount of data and more inaccurate data, which has opened a new door for us to understand the world. Big data can improve production efficiency and sales efficiency, because it can let us know the market demand and people's consumption demand. Big data makes the decision-making of enterprises more scientific, from focusing on accuracy to focusing on efficiency improvement. Big data analysis can improve enterprise efficiency.

Fifth, the principle of focusing on relevance: from causality to focusing on relevance

Focusing on relevance rather than causality, society needs to give up its desire for causality and only focus on relevance, that is, it only needs to know what it is and not why. This has subverted the established practice since ancient times, and our most basic way of making decisions and understanding reality will also be challenged.

6. Forecasting principle: from unpredictable to predictable.

The core of big data is prediction, and big data can predict many aspects. Big data is not about teaching machines to think like people. Instead, it applies mathematical algorithms to massive data to predict the possibility of things happening. It is precisely because in the face of the laws of big data, everyone's behavior is the same as others, and there is no essential change, so businesses will know consumers' behavior better than consumers.

Seven, the principle of information to find people: from people to find information, into information to find people.

The development of Internet and big data is a process from people looking for information to information looking for people. First, people look for information, others look for people, and information looks for information. Now is an era of information seeking. In the era of information seeking, that is to say, on the one hand, we return to a primitive broadcasting mode, in which information seeking is used, and we listen to radio and watch TV. Information is pushed to us, but one drawback is that we don't know who we are. Later, the Internet did the opposite and provided search engine technology, which made me know how to find the information I needed, so search engine was a key technology.