Characteristics of computer big data

Characteristics of computer big data: huge volume of data, data in various forms, high speed, low value density, high commercial value.

1, the data volume is huge

With the development of the Internet industry, many of the daily operations generated, the accumulation of data on user network behavior. For example, the social e-commerce platform generates orders every day, the posts, comments and small videos released by various short videos, forums and communities, emails sent every day, as well as uploaded pictures, videos and music, and so on.

The scale of the data generated by these countless individuals is huge, and the volume of data has already reached the petabyte level or more. For such large-scale data to be processed, analyzed, and counted, it needs to have a large enough capacity, so one of the main characteristics of big data is its huge volume.

2, data in various forms

A wide range of data sources, determining the diversity of the form of big data. 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 from all walks of life are 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 huge amount of data sources, the real value of the data is very little, a lot of data may be wrong, is incomplete, is unable to use. 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 business value

Compared to traditional small data, the biggest value of big data is through a large number of irrelevant data of various types, mining the data valuable for future trends and patterns of predictive analysis, and through machine learning methods, artificial intelligence methods or data mining methods of in-depth analysis.

Discovering new laws and new knowledge, and applying them to various fields such as agriculture, finance, and healthcare, so as to ultimately achieve the effect of improving social governance, increasing productivity, and advancing scientific research, and realizing its commercial value.