Big Data 4v features are large data size: big data usually refers to the amount of data above 100TB in size; a wide variety of data: a wide variety of data, complexity and variability is an important characteristic of big data; fast data processing speed: from the generation to the consumption of data, the window of time is very small, and the time available for generating decision-making is very short; low density of data value: the value of digging up big data is similar to the sand to find gold. From the massive amount of data to mine the sparse and precious information.

Big data is data that exceeds the processing capacity of traditional database systems. Its data size and transfer speed requirements are very high, or its structure is not suitable for the original database system. To capture the value in big data, we must choose another way to process it.

Hidden in the data are valuable patterns and information that in the past would have taken considerable time and cost to extract. Leading organizations such as Walmart or Google have had to pay a high price to mine information from big data. Today's resources, such as hardware, cloud architecture, and open source software, make it easier and cheaper to process big data.