云计算应用技术需要学习什么(云计算技术应用怎么学的)

Linux basics: The platforms involved in cloud computing are all based on Linux operating systems, such as ubuntu, CentOs or RDO.
Programming: Python is mostly used in cloud computing. If you are interested in development, get in touch with the source code and learn Python.
Cloud computing: To understand the concept and architecture of cloud computing, it is recommended to buy related books.
I have never been exposed to Huawei’s certification, so I am not sure. However, Huawei cloud computing is based on OpenStack. For OpenStack certification recommendations, you can look at the Certified OpenStack Administrator launched by the OpenStack official (foundation).
There are three key technologies in cloud computing:
⑴Virtualization technology: cloud computing Virtualization technology is different from traditional single virtualization. It covers the entire IT architecture, including system-wide virtualization of resources, networks, applications and desktops. Its advantage is that it can integrate all hardware devices, software applications and data. Isolate, break the boundaries of hardware configuration, software deployment and data distribution, realize the dynamics of IT architecture, realize centralized management of resources, enable applications to dynamically use virtual resources and physical resources, and improve the system's ability to adapt to needs and environments.
For information system simulation, the application significance of cloud computing virtualization technology is not only to improve resource utilization and reduce costs, but also to provide powerful computing power. As we all know, the information system simulation system is a complex system with a large amount of calculation. The computing power has a great impact on the system operating efficiency, accuracy and reliability, and virtualization technology can convert a large amount of scattered and underutilized computing power into Integrate into computers or servers with high computing loads to achieve unified scheduling and use of resources across the entire network, thereby achieving high efficiency in multiple computing aspects such as storage, transmission, and computing.
⑵Distributed resource management technology: In most cases, information system simulation systems will be in a multi-node concurrent execution environment. To ensure the correctness of the system state, the consistency of distributed data must be ensured. In order to solve the problem of distribution consistency, many companies and researchers in the computer industry have proposed various protocols. These protocols are rules that need to be followed. In other words, before the emergence of cloud computing, the problem of distribution consistency should be solved. It relies on many agreements. However, for large-scale or even ultra-large-scale distributed systems, there is no guarantee that all subsystems and subsystems use the same protocol, and there is no guarantee that the distribution consistency problem will be solved. Distributed resource management technology in cloud computing successfully solves this problem. Google's Chubby is the most famous distributed resource management system. The system implements the Chubby service lock mechanism, so that solving the distribution consistency problem no longer just relies on a protocol or an algorithm, but has a unified service ( service).
⑶ Parallel programming technology: Cloud computing adopts parallel programming model. In the parallel programming mode, details such as concurrent processing, fault tolerance, data distribution, and load balancing are all abstracted into a function library. Through a unified interface, users' large-scale computing tasks are automatically concurrently and distributedly executed, that is, a task is automatically divided into multiple tasks. Subtasks to process massive data in parallel.
If you want to learn cloud computing professionally, what you need more is time and energy. The courses offered by Kegongchang are very good. You can take a look at them based on your actual needs. After a good trial, you can choose the one that suits you. As long as you work hard to learn real things, your future will not be bad.

The cloud computing technology application major mainly studies computer network technology, Linux operating system, programming basics, database technology, cloud computing technology basics, and virtualization technology basics , Web application development, private cloud infrastructure and operation and maintenance, container cloud service architecture and operation and maintenance, public cloud service architecture and operation and maintenance and other courses.

Data majors mainly study: programming practice, discrete mathematics, probability and statistics, algorithm analysis and design, data structure, introduction to data science, introduction to programming, mathematical analysis, advanced Courses include Algebra, Introduction to General Physics Mathematics and Information Science, Data Computing Intelligence, Introduction to Database Systems, Fundamentals of Computer Systems, Parallel Architecture and Programming, and Unstructured Big Data Analysis.

Big data major generally refers to big data collection and management major, which systematically helps enterprises master the data management, system development, massive data analysis and mining of big data applications. Professional solutions to various typical problems in big data applications.

"Big data" can help companies find answers to difficult problems, bringing them unprecedented business value and opportunities. Big data also poses huge challenges to enterprise IT systems.

Through the application status of "big data" in different industries, we can see how enterprises use big data and cloud computing technology to solve their own problems and respond flexibly, quickly and efficiently Rapidly changing market demands.

Big data technology is a junior college major in ordinary colleges and universities in China.

In 2021, big data technology will be included in the "Catalogue of Vocational Education Majors (2021)".

The main things to learn in the cloud computing technology application major are as follows:

Computer network technology, Linux operating system, programming basics, database Technology, cloud computing technology foundation, virtualization technology foundation, Web application development, private cloud infrastructure and operation and maintenance, container cloud service architecture and operation and maintenance, public cloud service architecture and operation and maintenance, etc.

Expand knowledge:

1. Professional courses

Basic professional courses: computer network technology, Linux operating system, programming basics, database technology, cloud computing technology Basics, virtualization technology foundation, and Web application development.

Professional core courses: Private cloud infrastructure and operation and maintenance, container cloud service architecture and operation and maintenance, public cloud service architecture and operation and maintenance, cloud security technology application, cloud network technology application, cloud Computing operation and maintenance development, cloud computing application development.

2. Training objectives

Cloud computing technology and applications mainly study basic knowledge and skills in computer software and hardware, networks, information systems, etc., and conduct cloud computing Computing system construction, operation and maintenance, cloud platform software development, testing and evaluation, security configuration, migration services, etc. For example: the construction and application of Cainiao Cloud Warehouse that uses big data to quickly pick and deliver goods, the planning and construction of big data platforms, the research and development of cloud platforms, etc.

This major cultivates the comprehensive development of moral, intellectual, physical, artistic and labor skills, masters a solid scientific and cultural foundation and knowledge of private cloud, container cloud, public cloud and related laws and regulations, and is equipped with cloud computing Capabilities such as operation and maintenance, cloud computing development, and cloud computing technical support. Have craftsman spirit and information literacy, and be able to engage in the deployment and operation of private clouds, container clouds, and public cloud platforms.

High-quality technical and skilled talents for private cloud, container cloud, public cloud application development, cloud computing technical support services, cloud computing related product sales, etc.

3. Employment direction

For positions (groups) such as cloud computing platform deployment and operation and maintenance, cloud computing application development, cloud computing technical support services, cloud computing product sales, cloud computing System construction, information system maintenance, data center maintenance, cloud platform software development, testing and evaluation, security configuration, fault diagnosis and optimization, and information migration services.

The courses taught in the application of cloud computing technology include "Java Programming" and "Data Structure Fundamentals", etc.

Cloud computing technology and application mainly studies basic knowledge and skills in computer software and hardware, networks, information systems, etc., and carries out cloud computing system construction, operation and maintenance, cloud platform software development, testing and evaluation, security configuration, Migration services, etc. For example: the construction and application of Cainiao Cloud Warehouse that uses big data to quickly pick and deliver goods, the planning and construction of big data platforms, the research and development of cloud platforms, etc.

"Java Programming", "Data Structure Fundamentals", "Database Application", "Computer Network", "Linux Operating System Application", "MySQL Management", "Cloud Computing Application Development", "Cloud Platform Construction", "Virtualization Technology and Application", "Web Backend Technology Development".

Network information enterprises and institutions: cloud computing system construction, information system maintenance, data center maintenance, cloud platform software development, testing and evaluation, security configuration, fault diagnosis and optimization, and information migration services.

This major cultivates ideological and political firmness, both moral and technical skills, comprehensive development, adapts to the needs of the software and information technology fields, has innovative and practical spirit, good professional ethics and sound physical fitness, and masters programming design.

Cloud platform construction and maintenance, cloud website construction and maintenance, cloud application implementation and maintenance, network engineering and management, system management and maintenance and other knowledge and technical skills, serving Guangzhou to High-quality technical and skilled talents for regional development in the Pearl River Delta region.