What about big data in the IT industry? What about big data technology

1. Talent demand. With the development of the Internet. The shortage of IT talent will continue to grow.

According to conservative estimates, the current demand for IT talent in the Chinese market exceeds 200,000 people per year. At present, the IT education in China is mainly the academic education of computer, electronics, telecommunications, information technology and other related majors in colleges and universities, and the annual training of college graduates is about 50,000, which is far from meeting the needs of the market. The extreme shortage of IT technicians has forced many companies to offer high salaries in order to hire qualified professionals, and the lucrative packages of these positions attract many non-IT personnel.

As a result, many people manage to obtain these positions through various trainings.

2. Work requirements. The good job prospects and remuneration packages in the IT industry have attracted a large number of non-computer professionals, most of whom are young people. They urgently need to rely on learning and training to gain the technical ability to enter the IT industry.

On the other hand, the IT industry is also the most frequently changing and changing careers, which requires practitioners to continue to learn in order to maintain this continuous state of work. At the same time, the more advanced the technology a person learns and the more comprehensive the technology he masters, the broader the career development prospects of the person and the greater the opportunity for job choice. In addition, due to the rapid development of Internet technology, many people who have mastered outdated technology have also had to retrain themselves to keep up with the latest technology.

With the continuous development of China's economy and the continuous improvement of the degree of informatization, the proportion of investment in informatization of various enterprises has gradually increased, so it is required that in-service personnel must learn to operate microcomputers.

Big data is the current hot industry, big data, artificial intelligence, etc.

Of course, every industry is a pyramid structure that requires enough effort to get to the top.

Good luck, hope.

Big data refers to a collection of data that cannot be captured, managed, and processed with conventional software tools within a certain time frame. It is a massive, high-growth and diversified information asset that requires new processing models to have greater decision-making, insight and process optimization capabilities. Four characteristics of big data:

Massive, diversified, fast, and low value density.

IT technology, the rapid development of the Internet, the corresponding IT industry elite demand will also rise year by year, after all, all walks of life and people's life and learning are inseparable from the support of the Internet, now the rapid development of the Internet, so the employment prospects after learning IT technology is still very good, easy to find a job, the salary is also good.

I've heard that this one has been very popular lately.

I am a sophomore majoring in environmental engineering.

I have a friend who studies big data technology.

Let me tell you how I feel about this profession.

The major of big data technology is still quite popular in recent years, and now it is a big data major.

The employment outlook is more positive. As a country with a large population and a large manufacturing country, China has a huge data generation capacity and is extremely rich in big data resources. With Digital China.

The advancement of construction and the continuous improvement of data resource collection and application capabilities in various industries will lead to faster and more data accumulation. Therefore, in terms of big data, there is still a need for a large influx of talents.

But the major of big data technology is relatively difficult to learn, even if you only want to take the exam and not fail the course, you still have to hurry up and study, others have time to go out on Saturdays and Sundays, but people who study this major have to hurry up and study, otherwise they will not be able to keep up with the pace of learning.

There are still many jobs in the field of big data, especially in the field of big data, which are gradually covering from the development of big data platforms to the field of big data application development, which is also the inevitable result of the comprehensive application of big data. Roles involved include big data engineers.

Big data maintenance engineer, big data R&D engineer, big data architect, etc.; Big data operation and maintenance and cloud computing direction: Involved positions such as big data operation and maintenance engineers.

Wait; Among them, data mining.

According to the analysis, this part is the easiest to get started, and it is also the development direction with the largest talent gap.

The main contents of big data analysis in IT companies are as follows:

Different companies have different contents, but they are generally the following: first, design and implement the basic framework and functional components of the data platform, such as unified front-end and back-end basic components, configuration and permission management, data source access, task scheduling, job management, search, etc.

The second is to design and implement a technical solution for the data middle platform in the field of DevOps. Next, he is responsible for the optimization, daily operation and maintenance and monitoring of the data platform to support business stability. Finally, the system structure of the governance data platform is optimized, and the design, development, and deployment of microservices are carried out.

Introduction:

Big data analytics refers to the analysis of huge amounts of data. Big data can be summarized into five Vs: volume, velocity, variety, value, and veracity.

Big data is the hottest term in the IT industry, and the ensuing use of the commercial value of big data, such as data warehousing, data security, data analysis, and data mining, has gradually become the focus of profit sought after by industry professionals. With the advent of the era of big data, big data analysis has also come into being.

Big data and software development, in fact, to be precise, big data is also a direction in software development.

The engineering part of the data science and technology course is less than the engineering content in software engineering, but the big data part is more systematic.

The main course of software engineering big data direction is to study three or four courses related to big data, such as introduction to data and data mining in the third year of software engineering professional courses, mainly to learn the application in engineering;

Employment difference: The overall difference is not big, because there are only two kinds of jobs that undergraduates can do in the field of big data:

1) Big data analysis.

2) Data mining (low-level) These two positions are big data counterpart positions, salary and difficulty data mining is greater than data analysis, and the further study is artificial intelligence, natural language processing, computer image processing, intelligent recommendation, neural network, machine learning, deep learning, etc. (this part is one of the graduate students to choose one of the in-depth learning, although the difficulty is high but the salary is very high).

With the popularization of computers, computer applications have penetrated into all walks of life, which not only greatly improves efficiency, but also has a profound impact on people's lives. The deep application of the computer cannot be separated from the software. The development of the software industry is related to the politics and future of a country.

The software industry will become one of the largest emerging industries in the industry and one of the most promising industries in the 21st century. Here's a summary of the outlook for the software development industry:

1. High growth: In the global software market, the annual growth rate of software development is very fast, and this growth rate far exceeds the growth rate of the world economy.

2. High intellectual investment: software development requires less fixed assets and less production costs. Mental activity is crucial throughout the production process.

3. Strong service: the after-sales service workload of software products is large, and software developers must deeply understand the needs of users when integrating the system, and must get close cooperation from users in the process of implementing the project, so this is the characteristics of both manufacturing and service industries.

4. Strong globalization: After the emergence of the Internet, the software industry has gained greater opportunities for development, and software products can be sold to the world in a very short period of time.

Summary. Hello dear, Big Data Technology is a very good major. And the job prospects are very broad.

In recent years, from the perspective of employment in the direction of big data, there are still many big data jobs, especially the positions of big data analysts, according to the big data talent employment trend report, China's big data talent gap is as high as 1.5 million. It can be seen that the talent gap in big data-related categories is very large.

Hello dear, Big Data Technology is a very good major. And the job prospects are very broad. In recent years, in terms of the employment situation in the direction of big data, there are still many big data jobs, especially the positions of big data analysts, according to the big data hole talent employment trend report, China's big data talent gap is as high as 1.5 million.

It can be seen that the talent gap in big data related categories is very large.

How about big data technology for junior college 398 girls.

The Big Data Technology major is suitable for female students. The employment rate of the college is also OK, the big data technology major is a high-end skilled talent who can be trained in the Internet, sales, finance, banking, insurance, IT and other industries, engaged in big data system construction, management, operation and maintenance, etc., and these industries have never lacked female workers, and the proportion of women in some industries is quite large, so girls are also very suitable for learning big data technology and application majors, and the backbone of teachers in some colleges and universities is women.

Big data vs. accounting, salary and after-treatment, and which is better compared to big data technology.

You can recommend a few majors that are strong majors and easy to employ as junior college 398 science girls, and there are several schools with strong majors.

The monthly salary of big data and accounting graduates is generally about 4500, I think the big data technology is good, the salary is relatively high, the IT industry is already a higher salary than the industry, and big data as a new town in the IT industry, high salary is also very common. At present, the average monthly salary in the big data industry can be around 15k-20k.

Which companies are you going to work for when big data technology comes out?

After graduating from big data, you can work as an information architecture engineer, data architect, and big data analyst. It is easier to find a job by learning big data, and there are many employment directions, such as big data development, big data analysis, system research and development, etc., which are specialized in providing big data services for industry customers, such as management consulting companies, information consulting companies, and high-tech technology companies engaged in big data technology and product development and services, such as Alibaba, Tencent, etc.

Big data technology is a very good major.

With the development of the Internet and the advent of the cloud era, big data has become an aspect that many people pay attention to. The data created by a company is often described as a large number of stools, and it takes too much time and money to put this data into the database and analyze it.

Therefore, cloud computing is often associated with big data, because big data analysis requires the help of cloud computing. The application technology of big data is called big data technology, including the application technology of various big data platforms, which embodies the value of big data and is also the cornerstone of big data development.

Big data, or big data, refers to the amount of data involved that is so large that it cannot be captured, managed, processed, and organized into more positive business decisions through mainstream software tools in a reasonable time.

In The Age of Big Data, by Victor Mayer-Schönberg and Kenneth Kukye, big data refers to the use of all data for analysis and processing without the use of stochastic analysis (sample surveys). The 5V characteristics of big data (proposed by IBM): volume (large volume), velocity (high speed), variety (variety), value (low value density), and veracity (authenticity).

Big Data Technology Structure:

Big data includes structured, semi-structured, and unstructured data, and unstructured data is increasingly becoming the main part of data. According to IDC, 80% of the data in the enterprise is unstructured, and these data are growing exponentially by 60% every year.

Big data is just a manifestation or feature of the Internet development to the present stage, there is no need to mythologize it or maintain a sense of awe for it, under the backdrop of technological innovation represented by cloud computing, these data that originally seemed difficult to collect and use began to be easy to be used, through continuous innovation in all walks of life, big data will gradually create more value for human beings.