"Large data hotspots and trends" released: from conceptualization to value

5th, 2013 Large Data technology conference held in Beijing. CCF large Data committee secretary Cheng on behalf of the large Data commission to announce the 2013 large data white paper and 2014 "Big Data hot issues and trends," the official release.

Cheng said that the 2013 large data white paper summarized the overall environment of 2013 large data from the background of large data development, the status of technology system, industry chain and environment, talent training talent resources, and in the sixth chapter, the development trend of large data was elaborated.

The Committee predicts that large network data, large financial data, health and medical data, large enterprise data, large government data and large security data will be the six major applications of the 2014 Big Data development advantage. and share 10 major trends in the future of Big data:

1. Large data from conceptualization towards value

2. The diversity pattern of large data processing architectures coexists

3. Greater data security and privacy are increasingly important

4. Large data analysis and visualization become a hot spot

5. Large data industry becomes strategic industry

6. The commercialization of data and the Federation of data sharing

7. Based on large data recommendation and forecasting is becoming popular

8. Large data performance as a support technology

9. The rise of data science

10. Large data ecological environment gradually improved

The following is a transcript of Cheng speech:

The President of the General Assembly, including the organizer of our conference, has made a detailed analysis of the theme of our Conference and the orientation of the General Assembly. The conference is sponsored by the China Computer Association, and it is the specific operation of our computer society's large data expert committee. Apart from inviting top-tier experts to share our technical knowledge and technical progress. In this, academician Li has talked about our big Data conference there are several links, one I on behalf of the large Data Commission to the community on the 2013 Big Data white Paper and 2014 "Big Data hot issues and trends", I am below this is the 2013 first China Big Data technology innovation and entrepreneurship competition. The first part is the Big data white paper. It took about half a year under the large Data expert committee, with 120 participants, 50 experts directly contributing materials, from research institutes, businesses and government departments, covering computer systems, databases, and senior experts in all aspects of the application of large data. The white paper has been modified more than 10, the official version has 80,000 words, to a certain extent reflects the large data academia and industry consensus. What is the purpose of our organization white Paper? We want to comb the industry for large data application status and development trends, for the Government to formulate policies to promote the development of large data to provide some suggestions. At the same time, we hope to explore the scientific problems and challenges that large data research currently faces, and provide reference for researchers in relevant fields, and we hope to help the industry, the government and our specific researchers.

About white Papers

The white paper is divided into six chapters. The first chapter is about the background of large data development. The second typical business precursor, large data on the Internet, large data for communications, large data on cyberspace security, large-town data, large financial data, health care, large data and biological information, and manufacturing large data. We want to focus on this link, because the space is limited in this part of the white paper, we write a relatively brief, we hope that in the future version of the big Data application of the link to do more in-depth and detailed, the value of data can only be applied to reflect its value and prospects.

The third part of the large data technology system Status quo, we have large data of the entire technology map and data acquisition, computing mining done a detailed description and introduction.

The fourth chapter introduces large data industry chain and environment.

The fifth chapter introduces the large data talented person training resources, only good resources can promote our industry development.

The last chapter makes a simple summary and thinking on the development trend of large data and the suggestion of the expert committee. Our sixth chapter suggests and ponders on the hot issues and trends that we released in 2012 and what we are seeing today, which we are likely to be able to make a further elaboration in the white Paper we release next year. The entire expert committee for the first time to write such a white paper, back and forth to change more than 10 times, so that the content of the book is biased and wrong, we hope to gradually improve, but also hope that our industry, users can make some improvements to the White Paper suggestions. The white paper will be officially released at the official website of the China Computer Society, where we have printed a portion of the paper edition. This is the first part of the white Paper on big data development.

Here we will focus on the 2014 big data development trend forecast. Since the founding of the China Computer Association's large data Expert committee last year, we have been doing this for about three months, starting with research, the trends in big data, what topics to do a research, and then doing some collecting, forming some candidate sets, It is then made into a table to facilitate the voting of the form, which is finally voted by the experts. The result is a poll of more than 120 of the 90 members that form our report today. Last year we divided two links, a hot issue, a trend of development. This year, the white paper, the hot issues we incorporated into the white paper, which we think more than 2014 years or the recent large data industry to develop some trends in the forecast. One of the top ten trends in this forecast is that we have been counted and voted on.

About ten development trends

The first development trend we summarize is called large data from conceptualization to value. The vote is the first, with 93 votes on several fronts and big data expanding into more areas. We know from last year that big data turned into a very hot word. In each application area, we have large data, for example, we are large data finance, large data security, large data manufacturing, large data logistics, almost every field mentioned large data. Everyone is talking about this concept, and our large data expert committee found that in some areas the value of large data was actually implemented. So this year we're talking about these trends in terms of a keyword that is pragmatic. 2013 China's big data from the 2012 concept hype to 2013 into a pragmatic and sustainable stage, it is because of this situation, the first trend of our ten trends is that large data from the concept to the value of.

The second development trend of large data processing architecture diversification model coexist. The Association and difference between Hadoop and large data, reflects the consensus of our large data experts committee, the large-scale processing is not to take a certain thing, our data management may be the same as the relational data exist, certainly also exist, not by a framework to deal with all the big data problems, actually driven by the actual demand. We are in this total vote 71 votes, the higher the vote than the large data processing diversification model coexist. The Expert Committee's opinion is that some of Hadoop's new GPU processing architectures coexist. The future of large data storage and management will drive technology improvements in storage and management capabilities. and issues related to memory computing become one of the main processes to improve. The diversity pattern of large data processing architectures coexists.

The third development trend of large data security and privacy is increasingly important. This question is largely without our explanation, and the issue we had last year was very important, and after big data some of the fragmentation didn't seem to involve a security-and-privacy issue, and as large data converged, it posed some security challenges and provided new opportunities for security. There are two voting results, big data security 33 votes, big data personal protection and privacy legislation got 20 votes.

The four trends of large data analysis and visualization become hot spots. We say there is a pragmatic development of the key words this year. Pragmatic development analysis Visualization, large data experts to vote in the trend of more and more specific. Visualization becomes a lot of experts to discuss the topic, with large data after large-scale multi-angle multi-angle multiple means of data visualization, the whole through the data analysis and data display process, as well as real-time processing analysis and large data processing methods, three related results vote 61 votes. We have less tickets in front of us because we point out the middle main option.

The development trend Big data industry becomes the strategic industry. The first expert Committee recognizes that the large data industry becomes the national strategic emerging industries is an important strategy to ensure national security. Big business data and big government data are some pillar industries, with a total of 71 votes.

The commercialization of development trends data and the Federation of data sharing. This is the word I mentioned. Data Sharing Alliance is the topic we talked about last year, because the Data Sharing Alliance ecological environment last year there are some deficiencies, we still hope that the data sharing alliance can gradually grow into industry, scientific research and academic is a interlocking link and industrial development of the core link. Another point of view is that as data becomes a resource, it becomes a valuable thing, the problem of data privatization and monopoly is objective, and the data commercialization is an important trend in the future, such as how to define the data transmission and how to protect it.

The development mode of the VII is based on large data recommendation and prediction. We see a lot of big data on the great science books to say a lot of large data recommendations, large data forecasts. The Expert committee felt that in China, large data research and industry is really beginning to fall into the field, big data inside the total vote 76 votes, large data prediction and accurate personalized recommendation system and accurate Network marketing ticket rate is very high.

The eighth depth study and large data performance become a supporting technology, which involves several topics, which we have put forward by members of our Committee of experts, including deep learning as the core technology of large data intelligence analysis. Based on the massive technology intelligence becomes the development hot spot, utilizes the swarm intelligence and the crowdsourcing computation to support the big data analysis and the application. This with the previous analysis, prediction has become a big data technology some real value, some real technology.

The rise of the nineth trend data science. We also had such an evaluation last year, such a forecast, this year is slightly later than last year because we do analysis, specific options three aspects. The rise of data science, large data benchmark, and all science is rapidly becoming data-driven science, and there is a more concrete understanding of the rise of data science.

The last large data ecological environment gradually improved, although our large data ecological environment is not perfect to our satisfaction but it is gradually improved. Open source gradually become mainstream, large data, cloud computing, Internet of things blend, especially large data education, computer-related education activities, this big data education is more on the talent, education and training of large data professionals have some consensus.

We predict from now to next year in the next few short ten development trends, the ten development trends compared to last year, basically most of the problems, most of the situation, including technology, development trends, the problem seems to still be in this range, but see more specific, we do a simple comparative analysis below. Last year's data resources, large data security data science rise and so on, we have just 10 refining the problem we turned into a small option, last year's problem is also in 10 predictions. There's an interesting phenomenon. Big data generate new careers, we forecast the nineth trend, this year, the vote to the 31st place, we may feel that the big data generated by the profession is naturally not put it on any important issues, some problems are very much behind, of course, there are some new, For example, large data to become a national strategic emerging industries, large data forecasts accurate recommendations, large enterprise data, these have changed, some more specific, large data development more clearly. This is where we see the rankings, for example, the emergence of data science in the back, we last year in front. Why are you in the back now? Is that we are more concerned about the big data specific things, science is step-by-step practice to come out. We have a total of 57 options, including a convergence based on last year's summary and members ' proposals, and we look at 10 trends from 57 options to do some sorting, and not all of them. Let's simply flip through the results of the poll.

The first item is based on large data to value, large data commercialization, large data some forecasts, enterprise large data and so on. The whole of each item we see that there are some of us that are not listed in it, such as the ecosystem of civilians, is very relevant to our extraction of several trends. When we go down again, in the end, 57 people vote when a detailed version of more than 10 pages, the simple version is five or six pages, the general vote we do not bother to look at the back, we can get a lot of votes in the back, more than 100 members of the issue of the detailed thinking and carefully refined. In the ten development trends at the same time we have specific application areas and technical aspects of the members also made some judgments. In this respect, we have the most attention on the 2014 Big Data applications, the Internet, finance, energy, network, enterprise manufacturing and so on, last year, we have the field of speculation, last year, we experts committee to give some predictions, medical, e-commerce and so on. We look at the highest votes in 2014 years of the Internet, E-commerce, finance, health care and public opinion, public opinion said corporate public opinion, big business analysis of this piece. Most likely to produce value of the application areas, large financial data and Internet data, E-commerce, e-government This is what we can imagine, corporate intelligence and health care has become a very desirable trend. In addition to this, we further analyze our other votes, not only include these areas, the community's advertising marketing ticket rate is also very high, including urbanization, intelligent city and so we have the results of the analysis, and finally we concluded that 2014 years the most eye-catching has six major applications, network large data: Internet, telecommunications, Large network data. Large financial data, health and medical data, large enterprise data, large government management data, large security data (social Security, cyberspace security). We predict the 2014 's most impressive jobs in these six industries. Although we have many areas of energy climate and environmental science large data, we vote in which few people choose, both. One is the possibility that most of us from the IT community we care more about things like big data on the Internet, big data on E-commerce, and so on. On the other hand, it may be in the manufacturing, industrial energy in the large data field itself our active degree with our network large data, financial large data or some lag, about the application. Last year there were three major data distributed forecasts. This year forecasts more specific details. On the one hand, large data learning and mining, the ticket rate is very high, including in-depth learning and machine learning, the two related. Now some people say that big data do not learn, directly from the data to the data can be.

The second aspect of large data computing architecture and systems, which we all can think of, we talk about the Hadoop system, we look forward to future breakthroughs in technology.

Third, large data analysis and visualization, natural language, visualization, complex network, graph calculation, with large data-related discipline technology three categories, large data learning and mining, large data storage structure and systems, large data analysis and visualization problems.

Summary of the 2014 Large data Commission forecast the most eye-catching application of six, large network data, large financial data, health and medical data, large enterprise data, government management of large data, large security data. Large data learning mining, distributed computing, large data visualization. Analysis of mining, storage structure and systems, data acquisition, and the aspects of computerization. Ten trends: from the concept to the value of large data, the large number of data processing patterns coexist. Large data security privacy becomes an important issue, with large data analysis and visualization becoming more and more real. The big data industry has become a strategic new industries. The ecology of data commercialization and data sharing Alliance is an important trend in the future. Recommendation forecasting based on large data is becoming more and more popular, and deep learning and large data intelligence become the support technology, the rise of data science and the gradual development of large data ecological environment, this is 10 hot issues. Thank you!