Big data refers to data assets that are huge in size, multiple types, high in complexity, fast and have great value potential, and these data sources are made from operations such as data collection, processing and storage in various industries. The emergence of big data has changed our way of life and economic model, but also makes data analysis and application become an important technical field of the industry.

Doing big data online usually refers to collecting, processing, analyzing and applying big data resources to realize the use of data value through networked technical means such as cloud computing platforms or online data analysis tools. Compared with the traditional internal deployment of data centers or stand-alone processing, online big data can not only large-scale processing and analysis of massive amounts of data, but also reduce the enterprise's IT investment and management costs, to achieve more efficient data application and decision support.

Doing big data online can be applied to various fields, such as smart cities, healthcare, education, finance, logistics and so on. For example, in smart cities, big data can be used in demographics, urban planning, map navigation, etc., which can help refine urban management and services; in the medical field, big data can be used in clinical diagnosis, drug research and development, disease prediction, etc., which can help improve the quality of medical care and medical efficiency. Overall, the application scenarios of doing big data online are extremely wide, which can greatly promote industrial upgrading and social progress.