Large data expert committee set up in Beijing

The big data has become the next hot spot for technologies such as cloud computing, and the industry is bullish on the prospect of a big data industry, which will be the next gold mine and will be the next frontier in innovation, competition and production.

Recently, the China Institute of Communications, a large data expert committee was established in Beijing, the organization is led by the China Institute of Communications, China's first specialized research on large data applications and development of the academic advisory body. Zhaomeizhong, Deputy Secretary-General of China Communications Society, Deputy Secretary-General of Song Neqi, attended the General Assembly, the Institute of Computing Technology of the Chinese Academy of Sciences, Purdue University, Tsinghua University, China Telecom Guangzhou Institute, Baidu, Oracle, Teradata, indomitable company, Seagate Company, South Major General company and other units attended the conference.

Chen Jiachun, deputy director of the Ministry of Industry and Information technology, said at the founding of the General Assembly that the academic and industrial sector should fully understand the importance and necessity of large data research, the second to follow its development of the objective law, step-by-step development, not blind, should be based on practice, fully understand that large data is The result of long-term accumulation and understanding of application development; Thirdly, we should fully listen to the sound of industry, form the development force and improve the quality of research. Finally, we will steadily promote the broadband Internet speed-increasing project and provide the network environment for the application and development of large data. Chen Jiachun fully affirmed the work done by the China Institute of Communications, she said that the establishment of the large Data expert committee of the China Institute of Communications will certainly promote the important issue of large data and research, and the Ministry will strongly support the work related to large data research and development.

Zhang, a member of the Committee of Experts on the large data of China Institute of Communications, was inflamed at the founding meeting, he said that the application of large data is becoming more and more important for various industry informatization development, the establishment of large data Expert committee embodies the current academic focus, is very necessary, he also expressed the hope that the experts and the industry, Together to promote the development of large data.

Chen Shangyi, chairman of Baidu Technical Committee, said: 1. The current data scale and growth rate exceed the processing capacity; 2. The data intelligence becomes the reality, causes the new security crisis; 3. Changes in student research and technological innovation, traditional tools do not adapt to the age of large data; 4. The innovation model has radically changed. In addition, he also pointed out that the cost of pressure and technical challenges is the current Baidu in large data challenges, how to manage a number of servers, so that resources can be unified management.

Geng of the Guangzhou Institute of China Telecom thinks big data has become a new technology hotspot in the world after cloud computing, and the big data age has come. Geng says the telecoms industry will face many opportunities in the big data age. 1. Large data will become the core engine of telecom operator development, and telecom operators to the large data to carry out in-depth comprehensive, real-time analysis and application of telecommunications to cope with the new situation adjustment, to avoid becoming the key to the pipeline. 2. Large data for telecom operators to bring the core value-customer depth insight and timely and effective decision-making, including user behavior analysis, behavioral understanding, behavioral prediction. At the same time, operators will face three major problems: 1. Large data management challenges, how to effectively manage large data assets, including data quality, data security, data value, organizational structure 2. Technical architecture challenges, how to build efficient large data systems, how to protect and make full use of existing investments; 3. The challenge of large data applications, how to make full use of large data value.

Oracle Senior Technical consultant Kenneth that the telecommunications industry has four major data features: large-scale data sources, data on business value-added, data holographic 360-degree visibility, extensive data cross-reuse. Kenneth also believes that in the big data age operators will face the risk of marginalization of the industrial chain, but also opportunities. He says operators are now proposing the concept of intelligent plumbing, by analyzing the behavior characteristics of the customers, the traditional forward charging mode of the operators is transformed to the new mode of charging, which opens up the business blue sea; analyzes customer usage and network capacity, and improves the effective utilization of wireless networks by means of tariff packages or flow streaming. Protect the customer experience. Kenneth also shared the implementation strategy for large data: 1. Continue to promote the strengthening of the existing Data Warehouse system construction. 2. Gradually start to build large data platform, consolidate the internal large data, and introduce more external data sources, integrated into the large data platform. 3. Gradually establish data exchange between large data platform and data Warehouse system. 4. Preliminary selection of the project pilot large data, accumulated large experience in data processing.

Teradata Senior programme advisor Yu points out that consumer intelligence triggers a big data-management revolution, and that big data will bring huge business value across industries. Yu that the communications industry faces three major challenges: 1. Information assets are difficult to form, data collection is insufficient, and the problem of fragmentation is encountered. 2. Asset value is difficult to improve, internal can not clearly determine the value of various types of data, external difficult to translate requirements into analytical requirements. 3. The content of the assets is difficult to enrich, the user's needs and behavior has exceeded the current information system coverage, voice age analysis thinking does not apply to the mobile Internet era, the current platform architecture and ability to cope with the challenges of large data. Yu the answer. 1. Integration of information assets into unified large data platform and industry model. 2. Dynamic service capability for large data needs to transform information asset intelligence into value. 3. Large data exploration platform is needed to perform agile analysis and explore the value of information assets.

Chuche, deputy general manager of Technology, said that the current large data growth rate in less than 10 years, the speed of more than 30 times times. And IT management data reaches 50 times times the growth rate. How to deal with the challenge of big data? The Chuche section believes there are two solutions for NoSQL and SQL in the current market. The nosql aspect is mainly based on the NoSQL Open source aspect software, the SQL aspect mainly is the manufacturer launches the All-in-one machine solution. The Chuche section considers the most perfect solution to have three dimensions: good scalability, support for the Olat business in the overall business, and support for OLTP operations in the overall business, while the large data solutions of indomitable spirit are officially based on these features.

Vounie, senior vice president and chief CTO of South General Motors, believes that telecommunications large data is based on machine-generated structured data, while the timeliness, depth and breadth of data processing will determine the competitiveness of operators. Operators are also starting to try new technologies such as cloud computing and new databases to meet the challenges of big data. "But whether the revenue generated by the data business is proportional to the investment is a question that needs to be considered." Vounie said. At the same time, Vounie points out that large data drives database technology innovation, that the technical architecture supports all applications from one architecture to multiple architectures, supports multiple applications, and pushes the database market from monopoly to competition, with enterprises such as SAP, EMC and HP entering.

When talking about large data mining, researcher Qing of the Institute of Computing Technology, Chinese Academy of Sciences, said big data mining has four characteristics. 1. Dense and sparse coexistence, local density and global sparse data. 2. Redundancy and missing and in, the data is massively redundant, but the local data is missing. 3. Both explicit and hidden, display data stored in large quantities, and have rich hidden data. 4. Static and dynamic transient, multivariate data timing dynamic evolution, and the existence of heterogeneous data static complex correlation.

The main tasks of the Committee of China Communication Society:

Its main task is to organize the symposium on key data development and make suggestions, to carry out research on the theory, method and practice of large data, to provide consulting service for large data research and development of enterprises, and to promote resource sharing and cooperation among industries. The Chairman of the Committee of Experts from China Engineering Academician, South University President Zhang, academician of the Chinese Academy of Engineering Hequan, Ni, Guojie, He Gui and academician of CAs, as well as from the government departments, academia, research institutions and enterprises of the 37 renowned experts and scholars as members.

(Responsible editor: The good of the Legacy)