1, cloud education. Cloud education is often simply summarized as "online education" and has become the packaging shell of some educational institutions. But in fact, cloud computing can be applied to campus system, distance education, open large-scale open online courses, data archiving, collaborative teaching and other educational scenarios, reducing education costs and realizing resource sharing and updating.

2. Coursera. The famous online learning platform for large-scale open online courses provides online courses of more than 300 courses. By using cloud computing technology, it can handle about 1/2PB of traffic every month and support more than 3 million students to learn and communicate every year.

3. Knewton. Personalized education platform. Through cloud computing, students' learning behavior is analyzed by big data, so as to provide personalized education programs in a targeted manner.

4. Rookie Yuncang. It is a modern intelligent warehouse with cloud computing technology, which can use big data to quickly pick up and deliver goods and reduce logistics costs. It can be said that this is the greatest contribution to improving distribution efficiency and supporting double eleven logistics.

5. Cloud socialization. It is a virtual social application that aims at resource sharing, classifies and integrates social resources and provides corresponding services for users in need. The greater the user traffic, the greater the integration resources, and the greater the value of cloud socialization.

Extended data:

Cloud object scene is very important for building an Internet of Things system that actually works in the real world. The scenario defines the layout of the Internet of Things system, the direction of big data computing and the purpose of business intelligence. The new method of extracting data from IOT devices and artificial intelligence can extract the necessary data about the scene.

However, at present, intelligent buildings, intelligent security and smart cities each contain tens of millions of objects, IP addresses and data points, so the existing data management technology must be upgraded to a new height, which can handle every node of equipment computer input data.

Therefore, the concepts of data capture, movement, storage and analysis will change greatly. Traditional BI can't handle such a huge and complex data set.

In order to solve this problem, integrated cloud platform and distributed computing can process and analyze data at different points in the value chain, which makes it possible to measure and use resources in time at one of the nodes that need resources. Finally, scenario-based business intelligence can understand data analysis, improve operational efficiency or discover new business models.