The most notable features of big data are as follows:

1. Huge volume of data

With the development of the Internet industry, a lot of data on users' online behaviors have been generated and accumulated in the course of daily operations. For example, the daily orders generated by social e-commerce platforms, the posts, comments, and small videos released by various short videos, forums, and communities, the emails sent every day, as well as the uploaded images, videos, and music, etc., the scale of the data generated by these countless individuals is very large, and the volume of the data has long since reached the level of more than a petabyte.

To be processed, analyzed, and counted on such a large scale, data needs to have a large enough capacity, so one of the characteristics of big data is its huge size.

2. Diversity of Data Forms

The wide range of data sources determines the diversity of big data forms. Any form of data can have a role, the most widely used is the recommender system, such as Taobao, NetEase cloud music, today's headlines, etc., these platforms will be analyzed by the user's log data, so as to further recommend the user's favorite things. Log data is structured obvious data, there are some data structure is not obvious, such as pictures, audio, video, etc., these data cause and effect relationship is weak, you need to manually label it.

3. High speed

The high speed of big data refers to the rapid growth of data and fast processing. Every day, data in all industries is showing exponential explosive growth. In many scenarios, data is time-sensitive, such as search engines that present data to users within seconds. Enterprises or systems must be able to process and respond quickly when faced with rapidly growing volumes of data.

4. Low value density

The low value density of big data refers to the fact that in the huge amount of data sources, there is very little truly valuable data, and much of the data may be incorrect, incomplete, and unavailable. Overall, valuable data occupies a very low density of the total amount of data, and refining data is like finding sand in a wave.

5. High commercial value

Compared to traditional small data, the greatest value of big data is that by mining data from a large number of irrelevant data of various types that are valuable for the predictive analysis of future trends and patterns and analyzing them in depth through machine learning methods, artificial intelligence methods, or data mining methods, discovering new laws and new knowledge, and apply them to various fields such as agriculture, finance, and healthcare, so as to ultimately achieve the effect of improving social governance, increasing production efficiency, advancing scientific research, and realizing its commercial value.