The difference between cloud computing and big data

First of all, cloud computing and big data have different focuses.

Big data refers to a collection of data that cannot be captured, managed and processed by conventional software tools in a certain period of time. It is a massive, high-growth and diversified information asset, which needs a new processing mode to have stronger decision-making, insight and discovery, and process optimization ability.

Cloud computing is a mode of increasing, using and delivering related services based on the Internet, which usually involves providing dynamically scalable and often virtualized resources through the Internet.

Through their definitions, we can know that cloud computing focuses on resource allocation, which is the virtualization of hardware resources; And big data is the efficient processing of massive data. Big data and cloud computing are not independent concepts, but have an unusual relationship. As far as resource demand and resource reprocessing are concerned, they need to be used together.

Second, cloud computing and big data complement each other.

First of all, cloud computing takes computing resources as a service to support the mining of big data, and the development trend of big data is to provide valuable information for the query and analysis of real-time interactive massive data;

Secondly, big data mining needs cloud computing as a platform, and the values and laws covered by big data can make cloud computing better combined with industry applications and play a greater role; The information privacy protection of big data is an important prerequisite for the rapid development and application of big data in cloud computing. The combination of cloud computing and big data may become a new tool for human beings to understand things.