How to learn big data and cloud computing? What do you need to learn about cloud computing and big d

1. Knowledge of network communication, including all knowledge related to Internet infrastructure;

2. Knowledge of virtualization, understand the basic principles of hardware operation and virtualization implementation technology;

3. Database technology;

Big data and cloud computing are the most popular employment directions in recent years, so the talent gap is relatively large and the development prospects are relatively good, so it is very useful to learn big data well.

Big data refers to the collection of data that cannot be captured, managed, and processed by conventional software tools within a certain time frame, and is a massive, high-growth and diversified information asset that requires new processing modes to have stronger decision-making, insight and process optimization capabilities.

The basics of big data can be learned by buying a book by yourself. Now is the era of big data, and there are many books that introduce big data. Moreover, big data technology, such as data collection, data access, modeling, and result presentation, are relatively easy to learn.

Episode 3 - Big Data and Cloud Computing. Scientific and technological vision.

Recently, a new term has become popular on the Internet, that is, cloud computing, so many people have begun to wonder, what is cloud computing? What does it do? Let's give you a detailed introduction to Nanshao computer training.

The virtual space of cloud computing is infinite, and the large amount of data generated by the Internet of Things and the Internet needs to be stored in the cloud if you want to find a place to store and process it centrally. For example, when we usually have insufficient storage space on our mobile phones or computers, we will store some**and** in the cloud disk, cloud.

Cloud computing, simply put, is to put the hard disk and CPU on your own computer or the company's server on the network, and call it dynamically in a unified manner. In the past, if you want to play the latest large-scale 3D game or make a large-scale 3D animation and need to render, the first thing that comes to mind is to buy a new higher-spec computer or change the graphics card.

If you want to play a new game for two days, you can buy a high-end CPU and graphics card for two days, pay only two days, and return to the normal configuration when you are tired of playing; If you're going to do a lot of rendering tonight, buy a few hours of high configuration tonight, and get the finished film the next morning, and you can restore the original configuration. All of this computing and rendering work is done in the cloud provider's data center, and you only need to pay by the hour or even the minute, so you don't have to buy your own computers and servers. Cloud computing service providers will build their own data centers.

Big data, to put it simply, is to put all the data together to analyze, find the association, and achieve the best. All of the data here corresponds to some of the data from previous sample surveys. For example, the traditional market research method is to go to the street or send a questionnaire online, and it is very good to get hundreds or thousands of results, or invite a few typical users to the conference room for an interview; The approach of big data is to collect data from everyone for analysis, and analyze everyone as an individual, rather than looking for group characteristics.

The result of big data is more accurate, more detailed, and more personalized.

For example, we often watch some modern spy movies, how does the Reconnaissance Department find criminals? It is through the city's surveillance video, searching for a person's face in the massive data, and the criminals will retain a piece of data and location as long as they appear in the surveillance, so as to better implement the next plan, and greatly improve the efficiency of Tong Zhimin's high efficiency in solving the case. This is why enterprises are pursuing cloud computing and big data technology.

Big data cloud computing is not easy to learn, because it requires good mathematics, and the knowledge related to calculating the waxing machine is back to the base, although it will be easy to get started, but it is difficult to have a big improvement. ”

Hello, cloud computing is the development trend of the future Internet, and now Yin Li is entering the cloud computing industry, which means high salaries and profits in the future, so many people will choose to participate in professional learning and quickly enter the industry. Cloud computing covers a lot of knowledge points and a wide range of application fields, and after graduation, you can be qualified for positions such as operation and maintenance engineers, cloud computing engineers, and web penetration testing engineers, which is a good choice that you should not miss by chance.

If you want to learn cloud computing professionally, what you need is to pay time and energy, which is generally about 2w, and the time ranges from 4 to 6 months. You can take a look at it on the spot according to your actual needs, listen to it first, and then choose the one that suits you. As long as you work hard to learn the real thing, the future will not be bad.

A high-end major like big data and cloud computing is obviously not a casual person, and it can be easily learned by learning it casually.

Look at people, first of all, you have to have the mind and interest to learn, so that you can learn well, if not, I think it is rare for you, especially when you get started, you are very confused.

Is Big Data Cloud Computing Easy to Learn? Big data cloud computing is not easy to learn, and it is rare to learn1

Big data cloud computing is not easy to learn, because it requires a good knowledge base of mathematics and computer science, although it will be easy to get started, but it is difficult to improve greatly.

Judging from the current development situation, from the perspective of the current development fundamentals of the Internet field, big data and cloud computing have relatively broad development prospects, and whether it is cloud computing or big data, because they are still in the early stage of development, the market cake is becoming more and more attractive.

On the one hand, the Internet will provide a huge development space for big data and cloud computing in the future, and on the other hand, cloud computing and big data themselves can also drive the innovation of a series of new technologies and new models through their own development.

At a certain stage of development, the Internet will inevitably need a carrier that can carry the value of the Internet, and this carrier is "big data", so the value of big data will inevitably continue to deepen with the development of the Internet, and the value field of big data will inevitably continue to expand. In fact, we are already living in an era of big data, and our lives are constantly producing data, whether it is shopping, medical care, leisure, etc., these big data will contribute to the development of society.

Since big data is one of the three basic factors for the development of the Internet of Things, the development of big data is also of great significance for the development of artificial intelligence technology. At present, the demand for artificial intelligence in the field of science and technology and industry is relatively high, so under the promotion of the field of artificial intelligence, big data will also receive more attention.

Compared with big data, the importance of cloud computing technology has been reflected to a certain extent. Driven by the rapid development of the current industrial Internet, the importance of cloud computing to the industry will also be gradually reflected, so the development space of cloud computing will gradually expand in the future.

Finally, cloud computing and big data are inherently linked, and they are constantly evolving in mutual reinforcing.

In fact, the so-called big data is composed of a lot of small data, we are a data, such as our communication information, our route beam sleepy information, our browsing information, etc., are all living data, and it is this accurate data that constitutes the big data in our mouth. What is big data? To put it bluntly, one machine can't finish it, everyone does it together.

But as the amount of data grows, many small companies need to process quite a lot of data, so what can these small companies do if they don't have so many machines? Speaking of which, everyone thinks of cloud computing. When you want to do these jobs, you need a lot of machines to do it together, and you really want it whenever you want, and you can do as much as you want.

Big data and cloud computing are actually not difficult to learn, and you can find a job after 4 to 5 months of training.

The technical threshold of big data and cloud computing majors is very high-tech and high-content, of course, it is not a casual person, and it can be easily learned by learning casually.