Four basic features of big data

Big Data is a collection of data that cannot be captured, managed, and processed by conventional software tools within a tolerable time frame.

　　1. Large amount of data. data analysis and processing are required for data volumes such as TB,PB, and even EB.

2. Requires a quick response. market changes quickly, the requirements can be timely and rapid response to change, that the data analysis is also fast, in the performance of higher requirements, so the data volume appears to the speed requirements of some "big".

　　3. Diversity of data. different data sources, more and more unstructured data, need to be cleaned, collated, filtered and other operations, into the structure of data.

　　4. low value density. the data may be distorted due to the lack of data collection, incomplete samples, data may be discontinuous and so on, but when the amount of data reaches a certain scale, more real and comprehensive feedback can be achieved through more data.

Big data has become an important issue for various conferences, and executives are reluctant to miss out on this emerging trend. There is no doubt that big data technology is sure to be used when future companies try to analyze the vast amounts of information available to drive business value growth.

Four basic features of big data