The two words cloud computing and big data have been more discussed, and from an application perspective, large data can be more provocative to the user's nerves. At present, not all enterprises are faced with large data, but the operators with tens of millions of or even hundreds of millions of of customers, the big data brings problems. The guests of Shanghai Telecom and Guangdong Mobile have shared the challenges they face at large data levels at the fourth session of the China cloud computing and large data forum hosted by Teradata.
And cloud computing is the operator as a magic weapon to solve large data problems, of which Guangdong Mobile has brought several clouds. In the day's forum, in addition to solving large data problems, cloud computing has also facilitated the expansion of new business operators. such as Shanghai Telecom's DPI-based innovative services and innovative services based on OIDD data opening.
Operator records People's behavior big data poses challenges
The behavior of telecom operators is closely connected with modern people's life and work, and the operators also become the records of modern behavior while providing more service. Wang Siwei, senior manager and deputy chief engineer of China Telecom's Shanghai company, used a word to describe the relationship between operators and people's lives: Telecom operations detailed the fingerprint of human information in a modern society.
From phone numbers, call logs and internet records, to mobile phone positioning, traffic and content analysis, no one records the behavior of people.
Operators are not digging well for the value hidden behind the data. Wang Siwei points out that many people can imagine the value of this data: first, the composite association, that is, dispersed in the network in all aspects of the data convergence of the user's real picture; second, the pan-mining, grasp the real needs of individual users, mining potential user group behavior characteristics; three, fast real-time, Can be reflected in a timely manner to the user's services.
"But the ideal is plentiful, and the reality is very bony." Wang Siwei uses a data to illustrate the difficulty of achieving the above three: the existing DPI analysis is just a daily 400GB data used only for several reports.
It is reported that Shanghai Telecom has 80,000 locations per minute update information, nearly 3 million times per hour mobile phone calls, daily 70-100TB and 3 billion clicks of Internet traffic.
What are the challenges of such large data volumes for telecom operators? Wang Siwei pointed out that the challenge was also derived from how to better apply the large data found in the first is to gather data to form information assets, but the massive data cost is too high, the second is to make data mining to enrich the connotation of assets, but the methods of data mining are scarce; third, open data to enhance the value of assets, But the fact is that data is difficult to manage.
In fact, Wang Siwei's display of large data and love and hate, is a lot of other areas of the enterprise will also face the situation. On the one hand is the data that can be said can bring value, on the other hand, it is difficult and expensive to open the data to speak.
Does cloud computing have the capacity to solve this dilemma?
Cloud computing to promote business transformation
In the face of so many challenges from large data, Tian Siwei also stressed the importance of large data management, "this is the inevitable direction of telecom transformation." ”
Previous operators were more competitive at the pipeline level, but the future movie operators should have more roles, "Intelligent pipeline leader, integrated platform provider, information Service participant" which is the target of telecom described by Tian Siwei.
This transition direction is also more reflected in the maximum value of mining data, so that data into business. The role of cloud computing is particularly crucial. Because of cloud computing, the wide application of large data has become possible.
Distributed data storage makes it possible to use data based on complex data system. 1, large capacity, support mass storage, 2, extended well, support smooth expansion, 3, security high, not subject to hardware damage; 4, easy-to-use, VFS compatibility layer.
Distributed computing makes it possible to deal with the massive data in time. 1, high capacity, linear expansion processing gigabit data, 2, low cost, can apply common service machine Group, 3, high efficiency, can be in the data at the node parallel processing, 4, reliable, can automatically maintain multiple copies of the data.
Tian Siwei concludes: "Cloud computing makes it possible to stream real-time processing of massive, unstructured data." ”
China Telecom is also using the value of these data to provide more innovative information services. In the building of information assets, we need to think more about the standardization of assets, the dominance of assets, the value of assets and the operation of assets, "in order to do well in these aspects, it is necessary to establish data asset specification, build data elastic aggregation platform, build data on-demand analysis platform and build data open operating ”
According to the introduction, currently China Telecom has based on the DPI Innovation Services: Public service, that is, based on the user's position of public information notification, such as subway information, electronic channels, that is, based on customer behavior analysis results targeted push information customer service, stock product marketing and new product research; consulting services, The Internet index based on DPI statistics, user analysis reports and market analysis reports, precision advertising, the DPI based Internet accurate push and click Records.
And in the innovative services based on OIDD data opening, China Telecom has also done some corresponding exploration, such as Business circle information, precision advertising, green Internet and anti-virus wall.
Telecom operators are increasingly using cloud computing to turn large data into their business competitive advantage.
Another operator of the day CPPCC, chairman and general manager of China Mobile Communications Group Guangdong Co., was more visible in the cloud's business. A personal cloud, on the one hand, integrated the services provided by China Mobile in the past, while based on the characteristics of cloud computing and the value of the use of data, derived more services.
CPPCC introduced that personal cloud services development ideas mainly include: internal polymerization, that is, through a letter, community, micro-blog and other services will be gathered in the cloud platform, opening up to provide capacity encapsulation, third-party intervention, operation and other open platforms to build an open ecological system; Customers and other aspects of the unique advantages, to go with their own characteristics of the development of the road.
And this cloud is not only an application of aggregation platform, for users, it is: A network storage space, an information collection center, an open platform, a data mining think tank.
Big data is a challenge and a value, and cloud computing is a tool and a concept.
Summary: In the day's forum, senior director of the Communications industry solutions from Teradata Jiang Xin also shared his company's proposal to introduce clouds into the data analysis layer, in which IDA methodology is representative and practical. "Build the methodology for analyzing cloud IDA by integrating information into action A. ”
In fact, the operators are doing a lot of work is also based on this, mining data value, business data, let data into the commercial field. However, with the advent of large data, the value of large data is developed, the application of cloud computing, many risks are unavoidable. If the operator has mastered such a large number of user data, how to protect privacy, do not violate the law, which requires the operator's comprehensive planning, but also need to pay attention to the law. At the same time, operators for the application of data is still more to stay in the image, such as targeted push service, and how to play its deeper value will need more exploration, but also need more advanced technology support.
(Responsible editor: The good of the Legacy)