Big data, cloud computing, and the Internet of Things IoT .

Overall, big data, cloud computing, and the Internet of Things are mutually reinforcing. Big data is rooted in cloud computing and big data analytics.

Many of the technologies come from cloud computing, the distributed and data storage and management system of cloud computing (including distributed file system and distributed database system) provides the storage and management capabilities of massive data, and the distributed parallel processing framework mapreduce provides massive data analysis capabilities, without these cloud computing technologies.

As a support, big data analysis is impossible. On the contrary, big data provides a "place to use" for cloud computing, and without the "training ground" of big data, no matter how advanced cloud computing technology is, it cannot give full play to its application value.

Without the rapid development of the Internet of Things, it will not bring about a change in the way data is generated, that is, from the artificial generation stage to the automatic generation stage, the era of big data.

It won't come so soon. At the same time, the Internet of Things needs to rely on cloud computing and big data technology.

Realize the storage, analysis, and processing of big data in the Internet of Things.

1.The Internet of Things is essentially the sensory nervous system and motor nervous system of the Internet brain, and sensors and intelligent devices controlled by AI are connected to the Internet central nervous system through Internet lines for use by the crowd intelligence and cloud AI in the cloud.

2.Cloud computing is essentially the central nervous system of the Internet brain, which controls other components of the Internet brain through servers, network operating systems, neuronal networks (large social networks), big data, and artificial intelligence algorithms based on big data.

3.Big data is essentially valuable information transmitted and accumulated by various nervous systems of the Internet brain in the process of operation. Because in the past 50 years, with the rapid evolution of the Internet, it has expanded rapidly, and the volume is extremely huge. It is the basis for the Internet brain to produce intelligent intelligence.

4.Artificial intelligence is not only the combination of algorithms such as deep learning, machine learning and big data, but also applied to the nerve endings, neural networks and intelligent terminals of the Internet brain. It enables the Internet brain to improve the ability of each nervous system at the same time.

What is big data, cloud computing, Internet of Things, vernacular, these relationships with artificial intelligence.

The relationship between big data, cloud computing, and the Internet of Things is as follows:

1. Cloud computing provides a technical foundation for big data, and big data provides a place for cloud computing.

2. The Internet of Things is an important part of big data, and big data technology provides support for data analysis of the Internet of Things.

3. Cloud computing provides massive data storage capacity for the Internet of Things, and the Internet of Things provides a broad application space for cloud computing technology.

To summarize the connection and difference between the three:

1. The difference between big data, cloud computing, and the Internet of Things. Big data focuses on the storage, processing and analysis of massive data, discovering value from massive data, and serving production and life. Cloud computing essentially aims to consolidate and optimize various IT resources and provide them to users cheaply as a service through the network.

The development goal of the Internet of Things is to realize the connection of things, and application innovation is the core of the development of the Internet of Things.

2. The connection between big data, cloud computing, and the Internet of Things. On the whole, big data, cloud computing, and the Internet of Things are complementary to each other. Big data is rooted in cloud computing, many technologies of big data analysis come from cloud computing, distributed and data storage and management systems of cloud computing (including distributed file systems and distributed database systems) provide massive data storage and management capabilities, and distributed parallel processing frameworks provide massive data analysis capabilities.

On the contrary, big data provides a "place to use" for cloud computing, and without the "training ground" of big data, no matter how advanced cloud computing technology is, it cannot give full play to its application value.

Cloud computing, big data and the Internet of Things have penetrated and integrated with each other, and they can be seen at the same time in many applications, and in the future, the three will continue to promote and influence each other to better serve all areas of social production and life.