What are the characteristics of the big data era?

The characteristics of the big data era are: 1. The amount of data is large, and the starting measurement unit of big data is at least P, E or Z; 2. There are many types, including web logs, audio, video, pictures, geography Location information, etc.; 3. Low value density; 4. Fast speed and high efficiency. This is the most significant feature of big data that distinguishes it from traditional data mining.

#The operating environment of this article: windows10 system, thinkpad t480 computer.

The big data era is characterized by large amounts of data, various types, low value density, fast speed and high efficiency.

The world-renowned consulting firm McKinsey was the first to propose the arrival of the "big data" era. McKinsey said: "Data has penetrated into every industry and business function area today and has become an important production factor. People are obsessed with massive data. The excavation and application of "big data" heralds the arrival of a new wave of productivity growth and consumer surplus." "Big data" has existed for some time in fields such as physics, biology, environmental ecology, and in industries such as military, finance, and communications. , but it has attracted people's attention due to the development of the Internet and information industry in recent years.

Features

Large amount of data (Volume)

The first feature is the large amount of data. The starting measurement unit of big data is at least P (1000 T), E (1 million T) or Z (1 billion T).

Variety (Variety)

The second feature is the variety of data types. Including web logs, audio, video, pictures, geographical location information, etc., multiple types of data put forward higher requirements for data processing capabilities.

Low value density (Value)

The third characteristic is that the data value density is relatively low. For example, with the widespread application of the Internet of Things, information perception is ubiquitous, and information is massive, but the value density is low. How to "purify" the value of data more quickly through powerful machine algorithms is an urgent problem to be solved in the era of big data.

Fast speed and high timeliness (Velocity)

The fourth feature is fast processing speed and high timeliness requirements. This is the most significant feature that distinguishes big data from traditional data mining.

The existing technical architecture and routes are no longer able to efficiently process such a massive amount of data. For relevant organizations, if the information collected with huge investment cannot be fed back with effective information through timely processing, it will be more than worth the loss. It can be said that the era of big data poses new challenges to human beings' ability to control data, and also provides unprecedented space and potential for people to obtain more profound and comprehensive insights.

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