Perfection of Rebirth

Chapter 479 The Data Center Blooms

Brilliant Investment has a heavy task this year. In addition to the financial department, the acquisition of a new company also requires a lot of manpower and material resources.So Jiang Hui still spent a lot of energy on Guanghui Investment.

The stall was too big, and Jiang Hui felt like he was too busy all day.No, the flash rain from the Brilliant Data Center came to Jiang Hui's office again.

Since the completion of the Guanghui Group's Imperial Data Center, the construction of the Guanghui Data Center has been fully rolled out.So far, the data centers in Shanghai and Shenzhen are under construction in a low-key manner, and the land for data centers in Jiangcheng has been approved.

"Mr. Jiang, at present, our group's business volume abroad is increasing, and it is necessary to consider setting up data centers abroad."

The layout of commercial data centers respects the choice of the market. Enterprises will first consider what services they can provide to customers after the data center is completed and operated, and the level and scale of data center construction will vary depending on the service object.At the same time, under the constraints of factors such as the basic network environment, the development status of surrounding industries and market demand are often taken into consideration.Therefore, a clear positioning based on market demand is a key factor for companies to consider when selecting a site and building a data center.

Tudou.com and Meituan.com under Guanghui Group have a large number of users in the US market, island countries, South Korea, and Southeast Asia. Currently, most of the data processing is done by leasing data centers from other companies.

Globally, China has relatively few data centers.Global data centers are mainly distributed in the United States, Europe, island countries and other regions.Among them, the number of data centers in the United States and Europe accounts for almost half of the global total.

From the perspective of regional distribution, data centers in the United States are mainly distributed in the economically developed west and coastal areas, with relatively few inland areas.Moreover, the number of data centers in high-tech industry clusters and university scientific research clusters is significantly larger than in other areas.

European data centers are mainly distributed in countries such as the UK, Germany, France, and the Netherlands.As a veteran European power, the UK has a stable economic and political situation and a developed IT industry. It is also one of the most important network nodes in Europe, directly connected to the American continent, and its number of data centers ranks first in Europe.Germany is one of the most populous countries in Europe and one of the countries with the largest land area. Although the capital is in Berlin, its data centers are mainly concentrated in Frankfurt, mainly because the backbone nodes of data centers in Germany and network nodes with other countries are concentrated in Frankfurt.

As the development scale of Guanghui Group becomes larger, disputes with competitors will also increase.In foreign countries, some opponents may use the corporate background of Guanghui Group to talk about things. In order to avoid these things, it is even more important to make each branch like a local company as soon as possible.

"Well, it will be a matter of time to build a data center abroad. Do you have any plans now?" Jiang Hui thought for a while and asked Shan Yu.

"I consider that the company will first build a data center in the United States and an island country, and then build a data center in Singapore, India, and the United Kingdom, and then combine the subsequent development to see how much it needs to add."

"You can go to investigate the site selection first. The two data centers in the United States and the island countries are scheduled to start construction at the end of this year, and the construction will be completed later."

To build a data center in a foreign country, if you don't use a Chinese construction company, the construction period will be relatively long.Especially in the United States, people don't work overtime on weekends, and they don't work overtime at night.In China, it took two years to complete a project that could be completed in half a year, which is perfectly normal.

"Mr. Jiang, considering that there will be more and more data centers in the future, our data center is now developing a data management system by itself, hoping to uniformly allocate and flexibly use the resources of data centers in different places."

"This idea is very good, and it should be said that it is also a trend of data processing in the future. If you look at the servers we lease now, the resource utilization is actually relatively low."

At present, most of the domestic data centers are built by several major operators such as China Telecom. Generally, the construction scale is small, the planning is not reasonable enough, and these investments are not fully utilized.This problem actually exists in many countries, and it will take a few years for it to gradually improve.It can only be said that everyone needs a process to understand and apply new things.

"In terms of data processing, our domestic high-end talents are in short supply. I am considering whether to build a branch of Shining Data in the United States or Europe and recruit a group of foreign technical talents."

The establishment of Guanghui Data Center means that the era of big data is coming.The demand for corresponding big data talents will also become stronger and stronger.

What kind of talents are big data talents?In Jiang Hui's view, the most critical part of big data is data analysis and data value mining. To obtain these, a large number of data scientists are needed.A data scientist is a compound talent who has a comprehensive grasp of mathematics, statistics, machine learning and other aspects of knowledge.Junior analysts can only report and descriptively analyze the data, while truly advanced data scientists need to make predictive and valuable analysis of the data.Judging from the current talent reserve, this part of the reserve is lacking.

"Let's set up a branch in the United States first. Data analysis talents need a relatively high level of mathematics and at the same time need to understand computer technology. Laomei still has an advantage in this regard."

From the perspective of the whole world, the mathematics level of China is good, but the United States, Russia and France are stronger in this respect.Princeton University, Harvard University, Moscow University, Ecole Normale Supérieure, etc. all have a strong position and strength in the world mathematics community.

Take the Fields Medal, known as the Nobel Prize in mathematics.Harvard University ranks No. 5 in the world in Fields Medal winners (alumni, professors and staff, etc.), while Université Paris, Ecole Normale Supérieure de Paris, Princeton University and University of California, Berkeley rank No. [-] in the world.The first Chinese mathematician to win the Fields Medal was Qiu Chengtong.

Speaking of this mathematics award, it is also very interesting.As we all know, the Nobel Prize is the most famous scientific award in the world.However, in the Nobel Prize, there are only 5 categories of physics, chemistry, biology or medicine, literature, and peace cause (the economics award was added in 1968), and there is no share of mathematics, which makes mathematics, an important subject, lose its place in the world. The world's opportunity to appraise its momentous achievements and honor its remarkable personalities.

It is against this background that two international mathematics awards have been set up in the world: one is judged by the International Federation of Mathematicians.The Fields Medal awarded at the International Congress of Mathematicians held every four years; the other is the annual Wolf Prize in Mathematics established by the Wolf Foundation.

The authority, internationality, and honor of these two mathematics awards are no less than the Nobel Prize, so they are known as the "Nobel Prize in Mathematics" by the world, and the Fields Medal is the most authoritative.

(End of this chapter)