Learning computer application technology (cloud computing technology) to learn what professional courses and to learn what cultural courses
Software development, cloud development technology, you can go to this side of the look
Now learning cloud computing courses need to learn what content, and later to find what job ah
Hello, cloud computing is the future development trend of the Internet. Now into the cloud computing industry, it means that the future of the high salary, for which many people will choose to participate in the professional learning fast into the industry. Cloud computing covers a lot of knowledge points and a wide range of application areas. As long as you master the real skills, cloud computing employment is naturally not a problem.
If you want to learn cloud computing professionally, what you need more is to pay time and energy, usually around 2W, 4-6 months time ranging. Qianfeng's course is very good, you can go to the field to see it according to your actual needs, and then choose the one that suits you after a good trial first. As long as you work hard to learn the real thing, your future will not be bad.
What courses do you study in Big Data
Big Data Technology is a cross-disciplinary subject: statistics, mathematics, and computers are the three major supportive disciplines; biology, medicine, environmental sciences, economics, sociology, and management are the application of expanding disciplines.
In addition to learning data acquisition, analysis, processing software, learning mathematical modeling software and computer programming languages, etc., the knowledge structure is a two-specialty multi-purpose composite cross-border talent (professional knowledge, data thinking).
Take Renmin University of China as an example:
Basic courses: Mathematical Analysis, Advanced Algebra, General Physical Mathematics and Introduction to Information Science, Data Structures, Introduction to Data Science, Introduction to Programming, Programming Practice.
Compulsory courses: Discrete Mathematics, Probability and Statistics, Algorithm Analysis and Design, Computational Intelligence for Data, Introduction to Database Systems, Fundamentals of Computer Systems, Parallel Architecture and Programming, and Unstructured Big Data Analysis.
Electives: Introduction to Data Science Algorithms, Topics in Data Science, Data Science in Practice, Practical Internet Development Techniques, Sampling Techniques, Statistical Learning, Regression Analysis, Stochastic Processes.
(3) Cloud Computing Specialized Courses Expanded Readings:
Big Data Positions:
1. Big Data System Architect
Big data platform construction, system design, infrastructure.
Skills: computer architecture, network architecture, programming paradigms, file systems, distributed parallel processing.
2, big data system analyst
Oriented to the actual industry areas, the use of big data technology for data security life cycle management, analysis and application.
Skills: artificial intelligence, machine learning, mathematical statistics, matrix computing, optimization methods.
3. hadoop development engineer.
Solve big data storage problems.
4, data analyst
Different industries, specializing in industry data collection, collation, analysis, and based on the data to make industry research, assessment and prediction professionals. In the work through the use of tools, extract, analyze and present data to achieve the commercial significance of the data.
5, data mining engineers
To do data mining from the massive amount of data to find the law, which requires certain mathematical knowledge, the most basic such as linear algebra, higher algebra, convex optimization, probability theory, etc.. Frequently used languages include Python, Java, C or C++, I myself use Python or Java more. Sometimes use MapRece to write programs, and then use Hadoop or Hyp to process the data, if you use Python will be combined with Spark.
Linux cloud computing course specific what to learn
You employment linux cloud computing training college focus on cultivating multi-faceted development of cloud computing talent, the curriculum is scientific and reasonable, for the 0 basic personnel, teaching content covers a very wide range of large-scale project training, the actual combat stronger.
You employment Linux cloud computing training course content is generally divided into six phases, the first phase of the main learning network fundamentals, including computer networks (Ethernet, TCP / IP network model), cloud computing network (network QoS, switches and routers), equipped with enterprise-level project combat: IP address configuration and DNS resolution.
The second phase will learn the basics of Linux, including the Linux operating system (file permissions, job control and process management) and Linux advanced management (Sed, Awk tools, source code compilation). Enterprise-level project combat for: cloud data center host CPU resource utilization real-time statistics, analysis system.
The third phase of learning Linux operations automation, enterprise-level project combat for Python + Shell to achieve enterprise-level FTP file unified management.
The fourth stage is the learning of database operation and maintenance management, enterprise-level project combat: MySQL Galera highly available cluster environment deployment, asynchronous message queuing cluster RabbitMQ deployment and operation and maintenance.
The fifth stage of training content for enterprise-class cloud architecture management and integrated combat (PaaS + TaaS), the project training is based on the LAMP architecture to achieve the cloud computing PaaS platform typical application deployment and operation and maintenance, through the Nginx to achieve ten million concurrent access processing.
The last stage is the employment guidance, from the resume, interview skills and other levels to help students to improve, cultivate students' communication skills, so that students have a clear understanding of the career development plan, clear their own positioning, to find a job suitable for their own development.
What are the main courses in computer cloud computing
Computer calculations rely mainly on operators.
Operator: arithmetic unit, a component of a computer that performs various arithmetic and logical operations. The basic operations of an operator include the four operations of addition, subtraction, multiplication, and division, logical operations such as and, or, not, different or, and operations such as shifting, comparing, and transmitting, also known as arithmetic logic unit (ALU).
An operator consists of an arithmetic logic unit (ALU), an accumulator, a status register, a general-purpose register group, and so on. The basic functions of the arithmetic logic unit (ALU) are the four operations of addition, subtraction, multiplication, and division, logical operations such as and, or, not, different or, and operations such as shift and complement. When the computer is running, the operation of the operator and the type of operation are determined by the controller. The data processed by the operator comes from the memory; the resultant data after processing is usually sent back to the memory or temporarily stored in the operator. With the Control Unit*** with the composition of the core part of the CPU.
The processing object of the operator is data, so the length of the data and the computer data representation, the performance of the operator has a great impact. 70's microprocessors are often 1, 4, 8, 16 binary bits as the basic unit of data processing. Most general-purpose computers, on the other hand, use 16, 32, and 64 bits as the length of data processed by the operator. An operator that can process all the bits of a data
operator
at the same time is called a parallel operator. If only one bit is processed at a time, it is called a serial operator. Some operators process several bits at a time (usually 6 or 8 bits), and a complete piece of data is divided into several segments for computation, called a serial/parallel operator. Operators often process data of only one length. Some can also handle several different lengths of data, such as half-word length operations, double-word length operations, quadruple-word length operations, and so on. Some data lengths can be specified during the operation and are called variable word length operations.
According to the different representation of data, 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 the data, there are address operators and character operators etc.
Its main function is to perform arithmetic and logical operations.
The number of operations an operator can perform and the speed at which it can do them signifies the strength of the operator's ability, and even the ability of the computer itself. The most basic operation of an operator is addition. Adding a number to zero is the same as simply transferring the number. Complementing the code of one number and adding it to another is equivalent to subtracting the former number from the latter. Subtracting two numbers allows you to compare their sizes.
Shifting left and right is a basic operation of an operator. In a signed number, the sign is left alone and only the number is shifted
Operator
The data is shifted by one bit, which is called an arithmetic shift. If the data is shifted along with all the bits of the sign, it is called a logical shift. If the data is logically shifted by linking the highest and lowest bits of the data, it is called a circular shift.
The logical operations of an operator can sum, or, or differentiate between two pieces of data bit by bit, as well as non-substituting each bit of a piece of data. Some operators are also capable of performing 16 logical operations in binary code.
Multiplication and division operations are more complex. Many computers have operators that perform these operations directly. Multiplication is based on the addition operation, by multiplying the number of one or more bits of decoder control one by one to produce part of the product, part of the product is added to the product. Division is often based on multiplication, i.e., a number of factors are selected and multiplied by the divisor to approximate 1, and these factors are multiplied by the divisor to obtain the quotient. Computers that do not have the hardware to perform multiplication and division can programmatically implement multiplication and division, but much more slowly. 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 in succession, and finding the square root.
I hope I can help clear up your confusion.
What courses do you need to study for cloud computing
We recommend the cloud computing course at Qianfeng, and the students who came out of the cloud computing tutorials at Qianfeng said that it is very easy to find jobs.
Cloud computing is commonly explained, cloud computing need to learn what courses
Cloud computing is commonly said: the cloud set up a strong performance of the server, such as: 32-core CPU, 256G memory, N T of storage version. In this way, the right configuration of the server is very rich through the virtual machine technology, creating dozens of virtual machines (from the host server hardware configuration of the division of the resource quota); clients through the "Remote Desktop Protocol" or "Remote Control Protocol" to connect to the virtual machine, so that you can be in the local client machine, the virtual machine, the virtual machine, the virtual machine, the virtual machine, and so on. This allows you to use this remote VM on a local client. So all the operations (calculations) are done on this VM, the local client is just input and output (non-local computing). To learn about cloud computing, you can look at openstack, learn more about KVM, and so on.
What is the course content of Cloud Computing and Hadoop
Course Objectives
Familiarize yourself with and master the architecture and principles of cloud computing?
Understand the core technologies of large-scale data processing?
Familiarize yourself with and understand the considerations of large-scale enterprise data processing applications?
What are the industry applications of the open source system Hadoop?
Course Content
Hadoop
Fundamentals of the technology and its applications
1 day
Hadoop
Administrator
2 days
Hadoop
Developer
2 days
Hive
Development Management
1 day
Source: Business Intelligence and Data Warehousing Enthusiasts
Provided by, Business Intelligence and Cloud Computing 。。。。。 Accompanying training ，，，，， includes this class
A basic course on cloud computing
Cloud computing is a systematic solution. It needs to be viewed from the macro-vertical to the micro-specific to a single cloud computing technology. It is divided into infrastructure layer (IaaS), platform architecture layer (PaaS), software architecture layer (SaaS), service architecture layer (BPaaS). Each level of the construction and implementation process can exist independently, there is no first to do which piece, after the construction of which piece of the order of precedence. Among them, IaaS is the way to go. Vertical grasp, and then horizontal refinement to see. For example: IaaS is divided into storage pools, load balancing pools, node computing pools (which is subdivided into small machine computing pools, server computing pools, etc.). Then subdivided according to the different versions of the operating system) and so on.
What do you need to learn first for cloud training
Can you learn linux from scratch?
First of all, the conclusion, zero basis to learn Linux can be learned, and now the training institutions of the course are zero basis to learn, the early stage of the study of the basics, non-computer majors, zero basis for white people are able to learn from scratch.
And at each stage there is a stage of testing, checking for gaps, assessing the learning outcomes of the students, unqualified, but also to learn again, until qualified to pass.
What basics do I need to prepare first?
Linux need to prepare for the basics of the first is the network basics, including computer networks (Ethernet, TCP / IP network model), cloud computing networks (network QoS, switches and routers), to learn to the basic concepts of the network principles, the network's division of the way to understand the data center hardware facilities, data communications fundamentals, the basics of Ethernet and Existing communication network transmission specifications, twisted pair, IP address basic composition, classification; address resolution and division methods; to be able to independently configure IP and domain name resolution and other basic operations and other related knowledge.
linux cloud computing course focuses on cultivating multi-faceted development of cloud computing talent, the curriculum is scientific and reasonable, for the 0 basic personnel, teaching content covers a very wide range of large-scale projects, practical training, more combat-oriented. Lecturers throughout the face-to-face teaching, strict control of learning, employment services throughout, recommended employment. Welcome to come to the small partners to audition.