Big data (big data) refers to a collection of data that cannot be captured, managed and processed within a certain timeframe using conventional software tools, and is a massive, high-growth, and diverse information asset that requires a new processing model in order to have stronger decision-making, insight discovery, and process optimization capabilities.

Characteristics:

1. Volume: The size of the data determines the value and potential information of the data under consideration.

2, Variety (Variety): the diversity of data types.

3, Velocity (Velocity): refers to the speed of obtaining data.

4, Variability (Variability): impedes the process of processing and managing data efficiently.

5, Veracity (Veracity): the quality of data.

6, Complexity (Complexity): the huge amount of data and multiple sources.

7, Value (Value): rational use of big data to create high value at low cost.

Expanded information:

For "big data" (Big data) research organization Gartner gave this definition. "Big data" is the need for new processing models in order to have a stronger decision-making power, insight discovery and process optimization capabilities to adapt to the massive, high growth rate and diversity of information assets.

Eight trends in big data on the Internet: the resourcing of data, deep integration with cloud computing, breakthroughs in scientific theories, the formation of data science and data alliances, the proliferation of data leaks, data management as a core competency, data quality as the key to BI (business intelligence) success, and the intensification of data ecosystem composites.