What specialized courses and cultural courses should I take to learn computer application technology (cloud computing technology)?

Software development, cloud development technology, you can see here.

What do you need to learn in the current cloud computing course and what job do you want to find in the future?

Hello, cloud computing is the future development trend of the Internet. Entering the cloud computing industry now means high salary and generous benefits in the future. Because of this, many people will choose to participate in professional studies and enter the industry quickly. Cloud computing is a very good choice because it covers many knowledge points and has a wide range of applications. As long as you master the real skills, cloud computing employment is naturally not a problem.

If you want to study cloud computing professionally, you need to pay more time and energy, usually about 2 weeks, ranging from 4 to 6 months. Qianfeng's course is very good. You can go to the field to have a look according to your actual needs, listen carefully first, and then choose the one that suits you. As long as you study hard, the future will naturally not be bad.

What courses do big data majors mainly study?

Big data technology is an interdisciplinary subject: statistics, mathematics and computer are the three supporting disciplines; Biology, medicine, environmental science, economics, sociology and management are applied and expanded disciplines.

In addition, you need to learn data acquisition, analysis and processing software, mathematical modeling software and computer programming language. The knowledge structure is a cross-border talent (with professional knowledge and data thinking).

Take China Renmin University as an example:

Basic courses: mathematical analysis, advanced algebra, introduction to general physical mathematics and information science, data structure, introduction to data science, introduction to programming and programming practice.

Compulsory courses: discrete mathematics, probability statistics, algorithm analysis and design, data computing intelligence, introduction to database system, computer system foundation, parallel architecture and programming, unstructured big data analysis.

Elective courses: introduction to data science algorithm, special topics of data science, data science practice, practical development technology of Internet, sampling technology, statistical learning, regression analysis and stochastic process.

(3) Extended reading of cloud computing course:

Big data work:

1, big data system architect

Big data platform construction, system design and infrastructure.

Skills: computer architecture, network architecture, programming paradigm, file system, distributed parallel processing, etc.

2. Big data system analyst

Facing the actual industry field, we use big data technology to manage, analyze and apply the data security life cycle.

Skills: artificial intelligence, machine learning, mathematical statistics, matrix calculation, optimization method.

3.hadoop development engineer.

Solve the problem of big data storage.

4. Data analyst

Professionals in different industries who specialize in collecting, sorting out and analyzing industry data and conducting industry research, evaluation and prediction based on the data. In our work, we use tools to extract, analyze and present data to realize the commercial significance of data.

5. Data Mining Engineer

To discover laws from massive data, data mining needs certain mathematical knowledge, such as linear algebra, advanced algebra, convex optimization, probability theory and so on. Commonly used languages are Python, Java, C or C++, and I use Python or Java more myself. Sometimes write programs with MapRece, and then process data with Hadoop or Hyp. If you use Python, combine it with Spark.

What exactly does Linux cloud computing course learn?

Excellent Employment linux Cloud Computing Training College focuses on cultivating multi-directional cloud computing talents. The curriculum is scientific and reasonable, the teaching content covers a wide range, and the large-scale project training is more practical.

The training course content of excellent employment Linux cloud computing is generally divided into six stages. In the first stage, we mainly study network basics, including computer networks (Ethernet, TCP/IP network model) and cloud computing networks (network QoS, switches, routers), and are equipped with enterprise-level projects: IP address configuration and DNS resolution.

The second stage will learn the basic knowledge of Linux, including Linux operating system (file permissions, job control and process management) and advanced management of Linux (Sed, Awk tools, source code compilation). Enterprise-level project actual combat: real-time statistical analysis system of CPU resource utilization rate of cloud data center host.

In the third stage, we will learn Linux operation and maintenance automation, and the enterprise-level project will realize the unified management of enterprise-level FTP files by Python+Shell.

The fourth stage is the study of database operation and maintenance management, enterprise-level project actual combat: MySQL Galera high-availability cluster environment deployment, asynchronous message queuing cluster RabbitMQ deployment and operation and maintenance.

The training content of the fifth stage is enterprise-level cloud architecture management and integrated operations (PaaS+TaaS). The project is to realize the deployment and operation and maintenance of typical applications of cloud computing PaaS platform based on LAMP architecture, and realize tens of millions of concurrent access processing through Nginx.

The last stage is employment guidance, which helps students to improve their resume and interview skills, cultivate their communication and expression skills, let students clearly understand their career development plans, define their own positioning and find jobs suitable for their development.

What are the main courses of computer cloud computing?

Computer calculation mainly depends on arithmetic unit.

Arithmetic unit: Arithmetic unit, a part of a computer that performs various arithmetic and logical operations. The basic operations of an arithmetic unit include four operations of addition, subtraction, multiplication and division, logical operations such as AND, OR, NOR and XOR, and operations such as shift, comparison and transmission, which are also called arithmetic logic unit (ALU).

Arithmetic unit consists of arithmetic logic unit (ALU), accumulator, status register and general register group. The basic functions of arithmetic logic operation unit (ALU) are four operations of addition, subtraction, multiplication and division, logical operations such as AND, OR, NOR and XOR, and operations such as shift and complement. When the computer is running, the operation and operation type of the arithmetic unit are determined by the controller. The data processed by the arithmetic unit comes from the memory; The processed result data is usually sent back to the memory or temporarily stored in the arithmetic unit. Together with the control unit * * *, it constitutes the core part of the CPU.

The processing object of the arithmetic unit is data, so the data length and computer data representation method have great influence on the performance of the arithmetic unit. In 1970s, microprocessors usually used 1, 4, 8 and 16 binary bits as the basic units for processing data. Most general-purpose computers use 16, 32 and 64 bits as the length of data processing. Available for data

potato

Operators that process all bits at the same time are called parallel operators. If only one bit is processed at a time, it is called a serial operator. Some operators can handle several bits at a time (usually 6 or 8 bits) and divide a complete data into several segments for calculation. This operator is called serial/parallel operator. Arithmetic units usually only process data of one length. Some can also handle data of several different lengths, such as half-word length operation, double-word length operation and four-word length operation. Some data lengths can be specified in the operation process, which is called variable word length operation.

According to different data representations, there can be binary operators, decimal operators, hexadecimal operators, fixed-point integer operators, fixed-point decimal operators, floating-point operators and so on. According to the nature of data, there are address operators and character operators.

Its main function is to perform arithmetic and logical operations.

The number and speed of operations that an operator can complete show the strength of the operator and even the computer itself. The most basic operation of arithmetic unit is addition. Adding a number to zero is equivalent to simply passing the number. Adding the code complement of one number to another number is equivalent to subtracting the previous number from the latter number. Subtract two numbers to compare their sizes.

Left-right shift is the basic operation of arithmetic unit. In signed numbers, symbols do not move, only move.

potato

Bitwise, it is called arithmetic shift. If all bits of data and symbols move together, this is called a logical shift. If the most significant bit of data is connected with least significant bit for logical shift, it is called cyclic shift.

The logical operation of the operator can AND, or and XOR two data bit by bit, and negate each bit of a data. Some operators can also perform the 16 logical operation of binary code.

Multiplication and division operations are complicated. Many computer arithmetic units can directly perform these operations. Multiplication is based on addition. One or several bits of the multiplier are decoded to generate partial products, and the partial products are added to obtain products. The division rule is often based on multiplication, that is, several factors are selected and multiplied by the divisor to make it approximate to 1, and these factors are multiplied by the dividend to get the quotient. Computers without hardware for multiplication and division can realize multiplication and division with programs, but the speed is much slower. Some operators can also perform complex operations, such as finding the largest number in a batch, performing the same operation on a batch of data continuously, and finding the square root.

I hope it can help you solve the problem.

What courses do you need to learn in cloud computing? Do you have any recommendations?

Recommend the cloud computing course of Qianfeng, and the students who have studied the cloud computing course of Qianfeng say that they are good at finding a job.

Popular explanation of cloud computing, what courses does cloud computing need to learn?

Generally speaking, cloud computing: set up a powerful server in the cloud, such as: 32-core CPU, 256G memory, N T storage versions. On such a server with abundant power configuration, dozens of virtual machines are created through virtual machine technology (resource quotas are divided from the hardware configuration of the host server); The client connects to the virtual machine through Remote Desktop Protocol or Remote Control Protocol, so that you can use the remote virtual machine on the local client. All operations (calculations) are completed on this virtual machine, and the local client only inputs and outputs (non-local calculations). To learn about cloud computing, you can look at openstack and learn more about KVM.

What is the course content of cloud computing and Hadoop?

Planned goal

Familiar with and master the architecture and principle of cloud computing?

Understand the core technology of large-scale data processing?

Familiar with and understand the precautions of large-scale data processing application in enterprises?

Industrial application of open source system Hadoop?

course content

Hadoop

Technology and its application foundation

1 day

Hadoop

administrative staff

2 days

Hadoop

developer

2 days

stock

Development management

1 day

Source: business intelligence and data warehouse enthusiasts

Business intelligence and cloud computing. . . . . Accompanying training,,, including this course

Basic course of cloud computing

Cloud computing is a systematic solution. We need to look at it from a macro vertical perspective, and then go to a micro specific single cloud computing technology. It is divided into infrastructure layer (IaaS), platform architecture layer (PaaS), software architecture layer (SaaS) and service architecture layer (BPaaS). The construction and implementation process of each layer can exist independently, and there is no order of which to build first and which to build later. IaaS is the only way. Grasp it vertically, and then look horizontally. For example, IaaS is divided into storage pool, load balancing pool and node computing pool (node computing pool is subdivided into minicomputer computing pool and server computing pool, etc. Then it is subdivided according to different versions of the operating system).

What should I learn first in cloud computing training?

Can zero-based learning linux be learned?

First of all, let's sum up that it is possible to learn Linux with zero foundation. At present, the courses of training institutions are all suitable for learning with zero foundation, and the basic knowledge has been learned in the early stage. Non-computer majors with zero foundation can learn from scratch.

Moreover, each stage has a stage of detection, leak detection, and assessment of students' academic performance. Those who fail the exam will have to study again until they pass the exam.

What basic knowledge do you need to prepare first?

The basic knowledge that Linux needs to prepare is firstly the network foundation, including computer network (Ethernet, TCP/IP network model) and cloud computing network (network QoS, switches, routers). It is necessary to learn the basic concepts and principles of the network, the division of the network, the hardware facilities of the data center, the basic principles of data communication, the Ethernet foundation and transmission specifications of the existing communication network, and the basic composition and classification of twisted pair and IP address; Address resolution and division method; Able to independently configure IP and perform basic operations such as domain name resolution and other related knowledge.

Linux cloud computing course focuses on cultivating multi-directional cloud computing talents. The curriculum is scientific and reasonable, and it is oriented to 0 basic personnel. The teaching content covers a wide range, and large-scale project training is more practical. Instructors face-to-face throughout the course, strictly control their studies, provide employment services throughout the course, and recommend employment. Welcome friends to audition.