IoT software development involves a number of areas of technology, the following are the main technologies that need to be learned for IoT development:

1. Embedded systems: Understand the basic principles of embedded systems and hardware platforms, and master embedded programming languages such as C/C++.

2. Sensors and IoT devices: Familiarize yourself with different types of sensors and IoT devices, and understand their working principles and data collection methods.

3. Network communication and protocols: understand IoT communication protocols such as MQTT, CoAP, HTTP, etc., and master TCP/IP network programming and socket programming.

4. Data storage and processing: Familiar with database technologies such as SQL and NoSQL, and understanding of data storage and processing on cloud platforms and edge computing.

5. Security and privacy: Knowledge of security and privacy protection techniques for IoT systems, including authentication, encryption, and access control.

6. Cloud computing and big data: understanding of cloud computing platforms and big data technologies to be able to connect and process data from IoT devices to the cloud.

7. Software development tools and platforms: familiar with software development tools and platforms related to IoT development, such as Arduino, RaspberryPi, AWSIoT, etc.

8. Data analysis and visualization: have the ability to analyze and visualize data, and be able to extract useful information from data collected by IoT devices.

The above are some of the key technologies that IoT software development needs to learn, and depending on the specific project and application scenarios, other areas of technology may also be involved.

The above content is carefully organized by Piggyback.com, and we hope it will be helpful to you.