The next day, oh - a sunny day!

Zhou Fangyuan cleaned up and walked out of the room, which can be described as refreshed.

Although in retrospect, it is inevitable that there is some embarrassment, but the embarrassment is the mood, but the body does not deceive.

Looking back at his room, Sister Mingjue hadn't gotten up yet, Zhou Fangyuan retracted his gaze and walked in the direction of the kitchen.

He decided to make breakfast.

He himself is actually not very good at cooking, after all, no matter where he goes now, there will theoretically be someone to entertain him, and even if he doesn't, there will be a life assistant who cares about all his eating and sleeping, and he doesn't have to worry about breakfast at all. But today, he didn't want anyone to bring any breakfast, he wanted to make his own.

The ingredients in the refrigerator will basically be updated once every two or three days, no matter whether there are people living here or not, there will be someone responsible for updating and supplementing the ingredients. The purpose is to worry that someone will suddenly move in and there will be nothing to eat, wouldn't it be embarrassing?

Zhou Fangyuan couldn't make anything too complicated for breakfast, there was bread and a toaster, so he baked two slices of bread.

There were soaked soybeans in the refrigerator, Zhou Fangyuan thought about it, found the soymilk machine, and made two cups of soymilk.

Then put the frying pan on the heat, pour the oil, and when the oil is about the same temperature, beat in the eggs and start frying the eggs.

Fried eggs, slices of bread, soy milk, and finally a small plate of jam attached!

Returning to the room early with these, Yang Mingjue had already woken up, shrunk in the quilt, covered his body with the quilt, and only showed two eyes and looked at Zhou Fangyuan with a wink.

Zhou Fangyuan paused, then took a deep breath and stepped forward.

"When you wake up, let's have some breakfast. ”

He didn't know what kind of expression he was going to show now.

Did everything last night come naturally? It seems to be true, but it doesn't quite meet normal standards, after all, he doesn't see Yang Mingjue frequently for a long time, in fact, they usually see each other for a long time. It's just that because of the mixing of the elders in the family, the two young people who didn't know each other not only got acquainted, but also had a very weird "blind date" experience. Yang Mingjue has a very good impression of Zhou Fangyuan, and of course Zhou Fangyuan has no bad feelings towards the other party, but can this make the two people come together? Zhou Fangyuan doesn't know.

He didn't deliberately dodge, but he didn't take the initiative to approach, he couldn't say what kind of mentality he had.

Until Yang Mingjue called him that night, he only felt that a nameless fire rose all of a sudden, and Zhou Fangyuan at that moment really hated to kill those two people on the spot. But he couldn't hold back, he couldn't do something like that, and if he did it, it was illegal, it was a stain. But the anger at that time, he still remembers it vividly, and he doesn't know why he was so angry, because of family affection or something? He didn't know, in short, he was full of anger, and there was a fire burning in his heart.

And now, when the dust has settled, he is relieved and at the same time, he is also asking himself what is wrong with him.

As a result, the question has not yet been answered, and it ...... Something like last night happened.

Do you regret it? Not really.

Zhou Fangyuan's heart was very calm, he didn't know what to do next, but he was not nervous, nor did he regret it, although his heart was full of confusion, he still remained calm and did not have any panic.

After breakfast, Zhou Fangyuan decided not to go to the company today.

He stayed in the courtyard and took care of Yang Mingjue, after all, she was a big girl before yesterday, and today's words ...... It really needs some stability and companionship.

At noon, Zhou Fangyuan's phone rang.

He answered the phone. 、

"Boss, the data center is done. ”

A man's voice came from inside.

"So fast?"

Zhou Fangyuan was a little surprised.

"It's okay, as long as you have money, it's not a problem...... Boss, when do you have time to come and have a look?"

The man on the phone asked expectantly.

"Well, it's just recently......"

Zhou Fangyuan himself wasn't quite sure when he had time, but recently, he should have time to take a look.

After hanging up the phone, two jade arms wrapped around him.

"What does a data center mean?"

Yang Mingjue asked curiously.

"It's a data center, I've asked the headquarters to set up a data center in a few days, and all the usage data of all products under all branches will be centralized in the future. ”

"That'...... Does it work?"

Yang Mingjue didn't quite understand.

Although she is smart, her intelligence has not yet reached the point where she can see the future, not to mention, the Internet is an area she is not good at, and it is natural that she can't see the value in it.

Zhou Fangyuan smiled and touched her cheek.

"Of course it worked. ”

Of course it worked.

The establishment of the data center means the launch of the big data project.

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

The definition given by the McKinsey Global Institute is: a data collection that is so large that it greatly exceeds the capabilities of traditional database software tools in terms of acquisition, storage, management, and analysis, and has four characteristics: massive data scale, fast data flow, diverse data types, and low value density. The strategic significance of big data technology is not to grasp the huge amount of data information, but to professionalize the processing of this meaningful data. In other words, if big data is compared to an industry, then the key to the profitability of this industry is to improve the "processing ability" of data, and realize the "value-added" of data through "processing".

From a technical point of view, the relationship between big data and cloud computing is as inseparable as the heads and tails of the same coin. Big data cannot necessarily be processed by a single computer, and must adopt a distributed architecture. It features distributed data mining of massive amounts of data. But it must rely on the distributed processing, distributed databases and cloud storage, and virtualization technologies of cloud computing.

The concept of cloud computing was first proposed at the Search Engine Conference in August 2006 and became the third revolution of the Internet. If we trace back to its origins, its emergence and development are closely related to the previously mentioned parallel computing, distributed computing and other computer technologies, all of which promote the growth of cloud computing. But the history of cloud computing can be traced back to 1956, when Christopher Strachey published a paper on virtualization because it was formally proposed. Virtualization is the core of today's cloud computing infrastructure and the foundation of cloud computing development. Then, with the development of network technology, the germ of cloud computing was gradually bred.

In the 90s of the last century, there was a big explosion in computer networks, the emergence of a series of companies represented by Cisco, and then the bubble era of the network.

Until 2004, the Web 2.0 conference was held, and Web 2.0 became a hot topic at that time, which also marked the bursting of the Internet bubble and the development of computer networks entered a new stage. At this stage, allowing more users to use network services conveniently and quickly has become an urgent problem to be solved in the development of networking, and at the same time, some large companies have also begun to devote themselves to the development of large-scale computing power technology to provide users with more powerful computing processing services. In 06, Google CEO Eric Schmidt first proposed the concept of "cloud computing" at the search engine conference. This is the first time in the history of cloud computing development that this concept has been formally proposed, and it has great historical significance.

After 07 years, "cloud computing" has quickly become one of the most concerned topics in the computer field, and it is also an important direction for large enterprises and Internet construction. Because of the introduction of cloud computing, a new model of Internet technology and IT services has emerged, triggering a revolution. In 08, Microsoft released its public cloud computing platform, which opened the curtain on Microsoft's cloud computing. Similarly, cloud computing has also set off a storm in China, and many large network companies have joined the cloud computing array.

In 09, Alisoft established the first "e-commerce cloud computing center". In November of the same year, Huaxia Mobile's cloud computing platform "Big Cloud" plan was launched.

In the future, cloud computing will become even more important.

Let's talk about big data.

Big data, which grows up based on cloud technology, is also the trend of the Internet in the future. Nowadays, this society is a rapidly developing society, with advanced science and technology, information circulation, closer and closer communication between people, and more and more convenient life, big data is the product of this high-tech era. In his speech on Treasure Island, Brother Ma mentioned that the future era will not be the IT era, but the era of DT, which is Data Technology, showing that big data is of great importance to Alibaba Group.

Some people have likened data to a coal mine with energy.

Coal is classified according to its nature, such as coking coal, anthracite, fertile coal, lean coal, etc., while the excavation cost of open-pit coal mines and deep mountain coal mines is different. Similarly, big data is not "big", but "useful". Value content and excavation cost are more important than quantity. For many industries, how to leverage this large-scale data is key to winning the competition.

The value of big data is reflected in the following aspects: enterprises that provide products or services to a large number of consumers can use big data for precision marketing, small and medium-sized micro enterprises that are small and beautiful can use big data to transform services, and traditional enterprises that must transform under the pressure of the Internet need to keep pace with the times and make full use of the value of big data.

However, the great significance of "big data" in economic development does not mean that it can replace all rational thinking on social issues, and the logic of scientific development cannot be annihilated in massive data. The famous economist Ludwig von Mises once reminded: "Today, there are many people who are so busy with the useless accumulation of information that they lose their understanding of the special economic significance of explaining and solving problems." "This is really something to be wary of.

In this era of rapidly evolving smart hardware, one of the most important questions plaguing application developers is how to find that delicate balance between power, range, transfer rate, and cost. Organizations use data and analytics to help them reduce costs, increase efficiency, develop new products, make more informed business decisions, and more. For example, by combining big data and high-performance analytics to unravel the root cause of failures, problems, and defects in a timely manner, businesses could potentially save billions of dollars each year. Or plan real-time traffic routes for thousands of delivery vehicles to avoid congestion. Or analyze all SKUs to price and liquidate inventory with the goal of maximizing profits. Or according to the customer's buying habits, push the customer's preferential information that he may be interested in.

There's also the ability to quickly identify gold customers from a large number of customers, to the use of clickstream analytics and data mining to avoid fraud, and more.

These things that were unimaginable in the past can be gradually realized under the premise of big data.

Of course, big data is not so easy to achieve.

Limited by the level of hardware and Internet development at this time, big data and cloud computing, it can be said that it is very difficult to replicate these things.

Of course, if it can be done, the benefits will be many.

Let's not talk about the advantages of big data, let's talk about cloud computing.

The value of cloud computing lies in high flexibility, scalability, and high performance ratio, and it has many advantages compared with traditional network application models.

For example, virtualization technology, it must be emphasized that virtualization breaks through the boundaries of time and space, which is the most significant feature of cloud computing, and virtualization technology includes application virtualization and resource virtualization. As we all know, the physical platform has no spatial connection with the environment in which the application is deployed, and it is through the virtual platform that the corresponding terminal operations are used to complete data backup, migration, and expansion.

Another example is dynamic scalability, cloud computing has efficient computing power, and adding cloud computing functions on the basis of the original server can make the computing speed increase rapidly, and finally realize the dynamic expansion of the virtualization level to achieve the purpose of expanding the application. For example, on-demand deployment, the computer contains many applications, program software, etc., and the corresponding data resource libraries of different applications are different, so users need strong computing power to deploy resources to run different applications, and the cloud computing platform can quickly allocate computing power and resources according to the needs of users.

In addition, most of the IT resources, software, and hardware on the market in the future will support virtualization, such as storage networks, operating systems, and development software and hardware. The virtualization elements are unified in the cloud system resource virtual pool for management, which shows that the compatibility of cloud computing is very strong, which can not only be compatible with low-configuration machines and hardware products from different manufacturers, but also can obtain higher performance computing with peripherals. Of course, even before Zhou Fangyuan was reborn, it still did not completely become the mainstream. However, before he was reborn, he knew about a company that sold a small signal communicator, and users could buy their "host", and the "host" was placed in the company's computer room, and users could control the "host" thousands of miles away through the signal communicator to complete their various daily operations.

Once there is a problem with the machine, a phone call is made, and the company immediately deploys other machines to the customer, and the data in it - according to the company - are there, and the broken machine is dismantled for maintenance, which does not affect the user's use. This is the application of cloud computing, but if you want to really popularize it, it will be too difficult.

However, this does not affect Zhou Fangyuan's involvement in this, big data and cloud are the main tone of the future, and he will not let go of it no matter what. This kind of thing, one step earlier, can be 10,000 steps earlier, for the Yuanfang Group, these things may be the foundation of the group in the next few decades, and they cannot be taken lightly.