Reading as a god

Chapter 234?

On Friday morning, Luo Changhui, who was sitting in the office working, suddenly received an order from Zhang Shan.

The task description is very simple, Mr. Zhang asked her to draw up a plan to lay out the cloud computing field and 6G concept research and development~
For 6G concept development.Luo Changhui didn't quite understand.

But she is no stranger to cloud computing, as a person with a foreign background and a Ph.D.

Luo Changhui immediately "understood" Mr. Zhang's ambition.

Zhang Shan is simply focusing on cloud computing.

It is clearly aimed at the field of big data.

Although Mr. Zhang didn't say it directly, he saw that the investment plan designated by Zhang Shan was as high as 20 billion.

What is 20 billion US dollars if it is not investing in big data?

And from the perspective of technical architecture, cloud computing and big data itself have a close relationship.

Both cloud computing and big data are based on distributed storage and distributed computing.

It's just that cloud computing is more focused on services, while big data is more focused on data value.

From the perspective of the dependency between big data and cloud computing, cloud computing is one of the important reasons for the emergence of big data.

Another driver of big data is the Internet of Things.

Even without big data, cloud computing itself can provide IaaS services and some PaaS services. Only driven by the current concepts of "full-stack cloud" and "smart cloud", cloud computing needs big data to improve service capabilities.

For big data, more than cloud computing is needed.

Cloud computing is also of great significance to the development of big data, because big data not only requires the cloud computing platform to provide various service supports, including storage, computing power, security, etc., cloud computing can also expand big data to a large extent. The channel for collecting data, because the vertical development of cloud computing to the industry field in the future will integrate a large amount of industry data, which is very important for big data.So from this point of view, cloud computing is one of the important factors that generate the concept of big data. Without the development of cloud computing, it is difficult to have a breakthrough in big data technology.

Judging from the current technical architecture of the entire industrial Internet, both the Internet of Things technology system and the artificial intelligence technology system cannot do without the support of cloud computing and big data.

Taking the IoT technology system as an example, cloud computing is at the third layer of the IoT architecture, while big data is at the fourth layer.

The two ultimately provide services for the intelligent decision-making layer, so the two technologies of big data and cloud computing are difficult to separate.

Big data is a term referring to large or complex data sets that traditional data processing applications are not adequate to handle.

The development and growth of the economy promotes the use of data-intensive technologies.

There are about 46 billion mobile phone users in the world, and 10 to 20 billion people are connected to the Internet.

From 1990 to 2005, more than 10 billion people around the world have entered the middle class. The increase in income has led to an increase in literacy, which in turn has driven the growth of information.

全世界透过电信网络交换信息的容量在1986年为281兆亿字节（PB），1993年为471兆亿字节，2000年时增长为2.2艾字节（EB），在2007年则为65艾字节。根据预测，在2013年互联网每年的信息流量将会达到667艾字节。

From an academic perspective, the emergence of big data has enabled novel research on a wide range of topics.

Big data analysis is becoming more and more prominent in modern research.

Big data research is not something that can be accomplished overnight!
Big data can hardly be handled using most database management systems, but instead must be used "software running in parallel on tens, hundreds, or even thousands of servers simultaneously."

This is a road almost never traveled by!

But no matter how difficult it is, relevant research must be done!

Because this is the trend!
As big data is mentioned more and more, many people have exclaimed that the era of big data has arrived.

In a column in the New York Times in 2012, it was written that the era of "big data" has come!
Although some people don't want to admit it, this is the truth.

In business, economics and beyond, decisions will increasingly be based on data and analysis rather than experience and intuition.

The advent of the big data era is destined to bring countless opportunities...

Application examples of big data include big science, RFID, sensing device network, astronomy, atmospheric science, transportation, genomics, biology, big society data analysis, Internet file processing, making Internet search engine index, communication record details, military Investigation, financial big data, medical big data, social network, commuting time prediction, medical records, photo images and image storage, large-scale e-commerce, etc.

Whoever grasps big data processing first may even be one step ahead in the future nuclear fusion field.

This is not alarmist talk, you know:

There are 1 million sensors in the LHC, sending data 5000 million times per second.

Nearly 6 million collisions were generated per second in the experiment, and about 99.999 useful collision data were obtained after filtering out 100% of the collision data.

After filtering the impact result data, only 0.001% of the useful data is recorded. The data volume of all four colliders generates 25 petabytes (PB) per year before copying and 200 petabytes after copying.

If the data from all experiments were recorded without filtering, the data volume would become excessively large and extremely difficult to process.

The annual data volume before replication will reach 1.5 million petabytes, which is equivalent to nearly 500 exabytes (EB) of data volume per day.

This figure means that the experiment will generate data equivalent to 500 gigabytes (5×1020) bytes per day, which is 200 times the sum of all data sources in the world.

There is no doubt that whoever can seize the opportunity in the direction of big data processing will be more likely to have this advantage.

It is also because of the importance of the direction of big data!
Countless companies have already started in this regard!

Software AG, Oracle, IBM, Microsoft, SAP, EMC, HP and Dell have spent more than $150 billion on data management analytics specialists.

In 2010, the market value of the data management and analysis industry exceeded US$1 billion, and it grew at a rate of nearly 000% per year, twice the growth rate of the entire software industry.

Luo Changhui had made reports related to big data before, but she couldn't find a suitable opportunity to report it to Zhang Shan.

I never expected that Mr. Zhang would always be able to discern opportunities!
Moreover, the most important thing is that Mr. Zhang has the courage to invest 20 billion U.S. dollars in one investment.

Although Zhang Shan didn't clearly state what kind of currency it is, Luo Changhui is very clear about Zhang Shan's intentions after having learned from the past!
Only in this way, it would be too short-sighted to put this cloud computing and big data company in the structure of Shanlin Technology!

Mr. Zhang invested 20 billion at once, he must want to reorganize a new company!
But what is the name of the new company?
(End of this chapter)