2015 Big Data Development forecast

"China's big Data technology and Industry development White Paper (2014)" for the 2015 Big Data Development made ten predictions, they are:

A large data analysis combined with intelligent computing has become a hot spot, including large data and neural computing, depth learning, semantic computing and other related technologies of artificial intelligence, which has become a hotspot in the field of large data analysis. The core of large data analysis is to derive value from data, which is embodied in obtaining more accurate and deeper knowledge from large data rather than simple statistical analysis of data. To achieve this goal, we need to improve the cognitive computing ability of data, so that the computing system has the ability of understanding, reasoning, discovering and decision-making, the core technology behind it is artificial intelligence. In recent years, the research and application of artificial intelligence has set off a new climax, which benefits from the breakthrough of computer hardware performance, on the other hand, it relies on the rapid development of computing technology, which is represented by cloud and large data, which greatly improves the speed and quality of information processing, and can deal with massive data quickly

Data science leads to the integration of many disciplines, but the data science as a new subject, its subject basic problem system is not clear, the development of data science itself has not yet become a system. In the era of large data, many disciplines appear to be very different in the direction of research, but from the point of view of data, it is actually interlinked. With the gradual deepening of the digitalization of society, more and more disciplines tend to be consistent in the data level. A unified study can be carried out using similar ideas. As a new discipline with large data, data science has not yet emerged as a discipline spanning the development of large data. For the theoretical research of large data processing, the new probability and statistic model will be the main research tool, and the breakthrough of discipline basic theory is difficult to appear in 2015.

Cross-disciplinary data fusion analysis and application will become a major trend in the future development of large data analysis applications. The goal of large data technology development is to apply to the ground, so large data research cannot be confined to computing itself. Due to the poor usability of the existing large data platform, and the data analysis of the vertical application industry involves domain expert knowledge and domain modeling, there is a great gap between the large data industry analysis application and the general data technology, and the lack of cross fusion. Therefore, there is an urgent need for large data technology and application research across disciplines and across fields to promote and promote the application and landing of large data in typical and major industries.

Four, large data will be connected with the Internet of things, mobile interconnection, cloud computing, social computing, and other hot technology areas of cross integration, resulting in a number of integrated applications. In recent years, the trend of computer and information technology development is that the front end is more forward, the back end is more powerful. Internet of things and mobile computing strengthen the integration with the physical world and people, the large data and cloud computing to strengthen the back-end data storage management and computing capabilities. In the future, these hot technology areas will cross into each other, resulting in a number of integrated applications.

Five, large data diversification processing mode and hardware and software infrastructure gradually tamping. Memory computing will continue to be the primary means of improving the performance of large data processing. The memory calculation represented by Spark is gradually moving to commercial and coexisting with Hadoop, which is specially designed for the system and hardware of large data processing, and the large data processing and diversification mode coexist, and the large data processing platform of integration is gradually becoming a trend. There is a point of view of this diversification to some extent become integrated, the future large data diversification processing model coexist and may become an integrated platform.

Vi. large data security and privacy, this is our third year's forecast of trends in big data hotspots, and every year this is very much in front of the big data security and privacy issues, this reflects our expert our users a kind of look forward to understanding a kind of attention, but we in the security of large data and privacy protection, and large data related to resources of national sovereignty, in fact, there is no more technical level, this two years has not made considerable progress, this has a certain problem, so that the security of large data is worrying.

Seven, the new computing model said to make breakthroughs, last year we had a lot of in-depth study in the country, today we found a very interesting phenomenon, in a number of specific areas to play a role, but our experts and industry people pay more attention to crowdsourcing technology, that is, may not be the future of large data-speaking in-depth learning.

Eight, various visualization technology and tools to enhance the large data analysis. Before the analysis, the data should be explored. Visualization will play a big role in this process. After the analysis of large data, in order to facilitate the user to understand the results, you need to show the results.

Nine, the large data technology curriculum system construction and the talented person training is the question which needs the high attention.

The open source system will become the mainstream technology and system choice in large data field.

(Responsible editor: Mengyishan)