In layman's terms, what is big data?

Big data refers to a collection of data that cannot be captured, managed and processed by conventional software tools in a certain period of time. It is a massive, high-growth and diversified information asset, which needs a new processing mode to have stronger decision-making, insight and process optimization capabilities. To put it simply, big data is massive data, that is, it has a large amount of data, a wide range of sources, and many types (logs, videos, and audio), up to PB level. The framework of this stage is to solve PB-level data.

Seven characteristics of big data: massive, diverse, high-speed, changeable, real, complex and valuable.

With the development of big data industry, it has gradually evolved from a high-end and theoretical concept to a concrete and practical concept.

Many times, big data comes from life.

For example, when do you order takeout, when do you buy it, where are you, where are the merchants, what do you want to eat ... these are all data. The more people there are, the more information there is, and it is still growing. Putting this information together is big data.

The value of big data lies not in these data, but in the preferences, habits and information of users hidden behind the data.