Big Data ten development direction: China becomes big data most important market

Large data is undoubtedly one of the most popular hot words in the IT field at present. Almost everything has to hang up a little bit of data, otherwise it looks like you out. I believe most people can say four features of large data: large capacity, variety, speed and high value. But as people become more aware of big data, people begin to talk about what value big data can bring to people. Where is the future service direction for large data?

Today I'm going to talk to you about the ten big trends in future data:

Direction one: rapid development of large data analysis field

Data contains value, but the value of data need to use it technology to discover, to explore, the accumulation of data can not represent the value of how much. And how to discover the value of the data has become the subject of close attention of enterprise users, so large data analysis field has become a close concern of the question, after all, this is directly related to the use of data.

With the continuous improvement of IT infrastructure in large data industry, large data analysis technology will usher in rapid development, different mining technology, mining methods will be more important in the future, after all, this area is directly related to the ultimate embodiment of data value.

Direction two: Distributed storage has a niche

The big data is characterized by many and large quantity, which makes storage management face challenges, this problem needs new technology to solve, distributed storage technology will be the future to solve large data storage important technology.

Distributed Storage Systems store data on multiple stand-alone devices. This solves the storage performance bottleneck problem of traditional storage mode. Distributed networked storage system, which uses scalable system structure, uses multiple storage servers to share storage load, and locates storage information by location server, it not only improves the reliability, usability and access efficiency of the system, but also expands easily.

Direction three: The combination of large data and cloud technology

If you look for an IT hot word that can be kept abreast of big data, cloud computing is a word that is very much related to big data. Many people always think of cloud computing when it comes to big data, and there are a lot of different ways to explain the two: cloud computing is the virtualization of hardware resources, and large data is the efficient processing of massive data.

Although the big data and cloud computing are not a thing, but the two are inextricably linked, many people now believe that cloud computing will be the best platform for the future to solve big data. Cloud computing is the equivalent of our computers and operating systems, which are then allocated after a large amount of hardware resources are virtualized, and large data is the data we handle. Cloud computing is the best platform for large data processors, and the future of this trend will increasingly make the two more closely related.

Direction four: Privacy issues let big data be affected

Data value is very important for enterprises, but there are also some factors that hinder the development of large data, in which the privacy problem is undoubtedly a very important factor in the development of large data.

Some of the data that we didn't seem to be important before, in large data centers, many of these messages are likely to easily understand a person's recent situation, creating personal privacy problems. And now with the development of large data, personal privacy is increasingly difficult to protect. It is possible to use data crime, of course, the laws and regulations on large data privacy are not right, but also need to have special laws and regulations to remove obstacles to the development of large data.

Direction five: Big Data drive infrastructure to scale-out development

Infrastructure is the first challenge for big data, how do you make infrastructure access to more data? Can the traditional infrastructure meet the needs of users? At present, although the infrastructure is facing some challenges, but when his challenges are not great, but with the development of large data industry, and this data growth will be explosive growth, the traditional architecture of the spring.

As the volume of large data grows, can be distributed through the distribution of the application of complex distributed system nodes, and the traditional data processing will be very strong computational power, CPU very high frequency of a machine to deal with, rather than large data such as multiple nodes, a number of CPU cores to deal with, This represents the development direction of the large data age from scale-up to Scale-out.

Direction Six: The establishment of the Data Sharing alliance

For large data, the future, will likely be different industries more subdivided, for different industries have different analytical techniques. But as for large data, the amount of data does not mean that it is more valuable, but more data will undoubtedly help the discovery of an industry's analytical value.

For example, for the medical profession, if every hospital analyses its own data, believe also can obtain the corresponding value, but if wants to obtain more value, then needs the national, even the whole world the medical information sharing, thus can through the platform analysis, obtains the greater value, therefore, in order to, Data may present a shared trend, and data federation may appear.

Direction Seven: Large data security more and more attention

As the value of data becomes more and more important, the security and stability of large data will be paid more and more attention, and the large data is growing, both the physical security of data storage and the management of data are more and more demanding, thus higher requirements for multiple copies of data and disaster-tolerant mechanism are put forward.

In the 2013, the Internet and digital life also made it easier for criminals to get information about others and more tricks and crime, so in the big data age, the protection of the data itself and the security of some of the information that evolved from the data will be crucial.

Direction eight: Big Data will spawn new industries

The emergence of a new industry, there will be a new demand for jobs, the emergence of large data will also launch a number of new jobs, such as large data analysts, data management experts and so on. Experienced data analysis talent will become scarce resources, data-driven work will show an explosion of growth.

Direction nine: Big data will become enterprise IT core

With the development of large data value, large data will become the core of enterprise it, after all, in this profit-oriented industry environment, who can bring more value to the enterprise will be more important. In the past, IT systems more in the enterprise is to play the task of ancillary work, and with the development of large data, IT systems will have greater significance.

Today, social data analysis is also on the rise, which has far-reaching implications for both it and non-it. More and more enterprises will start to analyze public opinion, geography, behavior, social landscape and rich media socialization data to better understand customer needs, more effective risk management, IT department also began to use social media application collaboration to solve problems, or define requirements.

Direction Ten: China becomes the most important market for large data

China is likely to become the most important market for big data in the future, with one-fifth of the world's population, while China's development is in a fast-growing period. The data produced in China will be huge, and the huge data will play a role in boosting the development of big data, and the big data will lead in the Chinese market.

Summary: Large data will give China's market a broader development opportunities for China, the market is very promising, is worthy of the attention of a market. Customers in various industries and industry developers should also seize the opportunity in the large data market, with their own advantages to create more value, in the fierce market competition in the future with the help of large data to go farther.

(Responsible editor: Mengyishan)