Shulou(Shulou.com)06/03 Report--

What do you need to learn to enter the Internet industry? Many people may not have an in-depth understanding of this, so the editor summarized a few suggestions, through these suggestions, I hope you can gain more knowledge.

1. Popular technologies on the Internet?

The current hot technical term: artificial Intelligence / Internet of things big data Cloud Computing artificial Intelligence-one of the main goals of artificial intelligence research is to enable machines to perform complex tasks that usually require human intelligence. For example, in 2016, the skyrocketed AlphaGo beat world champion and professional nine-stage go player Lee se-dol with a score of 4:1. There are 361 points on the go board, and the moves vary widely. Princeton researchers have calculated that all the possibilities for the exact legal number of games in 19 x 19 squares is a 171digit number-more than the number of atoms in the universe. Such calculations will take many years, even for supercomputers. The concept of the Internet of things, the Internet of things, was put forward as early as 2000 in the United States. At that time, it was called sensor network. Connect any object through the domain name of the Internet of things for information exchange and communication, in order to achieve intelligent identification, positioning, tracking, monitoring and management of a network concept. For example: one day, our chairs, tables and cups will be connected to the Internet of things. As soon as you sit down, you can directly report your name, height, etc.

How can the above be realized? -big data

Big data, what is big data? Big data is a gimmick to brag, and big data is an artifact you pretend to use. General enterprises, ordinary individuals casually find a data analysis software, analysis of a pie chart, bar chart, it is said to be doing big data. Big data technology is the technology of mining, cleaning, analyzing and extracting valuable data from massive data. * * Big *-- massive: there should be not many people who do not know the smallest basic unit Byte. Common data units: Byte KB MB GB TB PB EB ZB YB DB NB 1 PB = 1024 TB 1 EB = 1048576 TB (1.04 million, 1 billion GB) 2098 500 GB hard drives. Do enterprises have such a large amount of data? How to use such a large amount of data? -- it takes 25 minutes to copy 1TB data without copying 100GB, and it takes about 4 hours to use the mobile hard disk of 3.0USB interface (70MB/s) * * fast * *-- the enterprise needs time cost. Ma Yun Shuang 11 day, very proud and very showing off, the big screen real-time display: 2016 Tmall double 11 transaction volume exceeded 1 billion only took 52 seconds! Compared with more than 2 minutes the year before last and 1 minute 12 seconds last year, Tmall double 11 once again set a new record for the fastest trading volume! It only took 20 seconds to break through 100 million. In 2017, the turnover of double Eleven Tmall reached 168.2 billion yuan. 100 million-11 seconds 19.1 billion-5 minutes 57 seconds (more than 2012 full-day turnover), 2018 exceeded 10 billion minutes 05 seconds, 2019 Tmall double 11 global trading volume exceeded 10 billion, took 96 seconds Galaxy-Ⅰ 100 million times per second in 1983 Shenwei Taihu Lake Light 2016 930 million billion times per second currently the world's third most general enterprises have this processing capacity? -- No

What does it depend on to achieve it? -Cloud Computing

Cloud computing-cloud technology refers to a managed technology that unifies a series of resources such as hardware, software and network in the wide area network or local area network to realize the calculation, storage, processing and sharing of data. Big data needs a supercomputer to connect ordinary computers with a network and use cloud computing technology to realize a virtual supercomputer. To put it simply, I used to use a horse to pull a rickshaw, but now I can simulate a lot of horses and pull a rickshaw together, and these horses do not have to buy real horses, they can be used on demand in the form of charging fees. Artificial intelligence / Internet of things-big data-cloud computing relationship, let's look at the picture

2. Which direction should I choose to study?

Artificial intelligence-- is a very challenging science, and people engaged in this work must understand computer knowledge, psychology and philosophy. Artificial intelligence includes a wide range of science, it consists of different fields, such as machine learning, computer vision and so on. It is conceivable that it is not generally difficult to learn. Current market: artificial intelligence learning artificial intelligence-python+ machine learning-pure deception big data-background in mathematics and statistics, computer programming skills, knowledge of specific application areas or industries current market: big data learning java+hadoop-pure hoax cloud computing-with network knowledge, Linux, virtualization, database, Python, cloud computing and other technical knowledge change careers, beginners-- only cloud computing can get started quickly through systematic learning Known as the industry elite, to become a member of the IT industry cloud computing-big data-artificial intelligence, the development needs a process, such as the network development ten years ago and today's Internet applications, so now is the best time.

3. What technologies do cloud computing need to know?

Cloud computing-cloud technology refers to a technology that unifies a series of resources such as hardware, software and network in the wide area network or local area network to realize the calculation, storage, processing and sharing of data. First of all, you need to understand the basic knowledge of computer-CPU memory, other external devices, network knowledge (router, switch) Linux system knowledge (server operating system) database (MySQL, MongoDB) virtualization (Docker KVM) cloud computing (openstack, Aliyun, Tencent Cloud, etc.) big data Foundation (Hadoop) Cloud Computing Security

4. Can I learn?

Is a normal person can learn, this is an applied science, can you give an example of a computer

5. What positions can I do?

Let's take a look at the top 10 most contested cloud computing jobs list 1, cloud architect Cloud Architect 2, cloud software engineer Cloud Software Engineer 3, cloud computing sales Cloud Computing Sales 4, cloud engineer Cloud Engineer 5, cloud service developer Cloud Services Developer 6, cloud system administrator Cloud Systems Administrator 7, cloud computing consultant Cloud Consultant 8, cloud system engineer Cloud System Engineer 9, Cloud Network Engineer, cloud network engineer, Cloud Product Manager, cloud product manager, and above seem a little high-end. Let's take a look at some real local job requirements. Cloud computing is the foundation of the modern Internet, and the knowledge of design is very wide. So the employment scope is also very wide (search 51job information to see) Cloud architect 25-30 000 / month cloud computing operation and maintenance engineer 1.3-26000 / month virtualization project 0.6-15000 / month Linux system engineer 0.6-15000 / month database engineer 0.6-15000 / month network engineer 5-8 thousand / month

6. How should I learn?

Now is an era of fragmented knowledge, everyone receives a wealth of information, but all fragmented knowledge. Systematic learning, a comprehensive understanding of a knowledge in order to enter this field. And need a professional and standardized learning environment. Training and learning is the fastest and most effective way. For beginners, choosing training and learning is the best, fastest and most effective way, but now there is a lot of training on the market, mixed with dragons and snakes? Choosing learning institutions with strength, rich teaching and practical experience also requires you to make more on-the-spot visits yourself.

7. Where can I learn real cloud computing technology?

At present, there are a lot of cloud computing training in the market, such as Linux + openstack + video teaching in some institutions-pure hoax as a rookie without computer professional knowledge, if you want to really learn cloud computing, you need to understand and learn a comprehensive knowledge system, just like going back to university to study, with a comprehensive knowledge system, you can really enter this industry instead of learning a little knowledge. * what is a comprehensive system learning system: network principles and applications (knowledge of switches and routers) Linux system management (system management) Linux network services and Shell scripting strategies (basic service management) Web server clusters (cluster service management) data Library application (various database knowledge) Docker container and virtualization technology (virtualization knowledge) large-scale website architecture and automation operation and maintenance (automated operation and maintenance knowledge) Python development wizard (basic programming knowledge) cloud computing and network security (cloud security) cloud computing deployment Actual combat (private cloud and common cloud knowledge)

It is never too late to learn. It depends on whether you have the determination and ability.

Please give yourself a chance to learn, learning is not afraid of late, afraid of not working hard, if you have a strong self-control ability and learning ability, you can also study by yourself. But if you do not have this ability, it is recommended that you find a place to create the ability and opportunity to learn, and give you an opportunity to force yourself to learn.

This is the end of the suggestions on entering the Internet industry. I hope the above content can be of some help to everyone and learn more knowledge. If you think the article is good, you can share it for more people to see.

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