The application of large data industry is on the way

Large data this is easier to understand and landing than cloud computing technology seems to have swept through China overnight, big data forecasts World Cup, big data interpretation variety show and so on have appeared in our vision. This is precisely because of the increasing amount of data and the fact that the value of the data has not been used more and more, by 2020 the value of the data will be increased by 25 times times, the large number of opportunities will be constantly digging, especially in some traditional industry users will be more use for business development and innovation.

Pan Yonghua, China Senior research manager, IDC

New trends in large data technology, applications and services

Large data has gone through 2013 years of initial years, and has gradually entered the landing year by 2014. As for the further development of 2014 large data, IDC China Senior research manager Pan Yonghua also pointed out its new trends in technology, application and service perspective.

Technology: Hadoop will be more and more technologically applied, but it can not completely replace the traditional database technology, because the application of the two scenarios are very different, the formation of coexistence; the internet of things will be a key driver for the rapid development of large data, including in addition to personal wearable devices, such as smart grids, Data security and privacy management technologies can be challenged by intelligent traffic; Data visualization technology is rapidly evolving and more startups are emerging.

Application: Customer-centric large data applications will focus on the direction, like a 360-degree view; Smart cities and big data will inevitably be combined, because data sharing is the foundation of smarter cities; risk-controlled applications based on large data will help users anticipate risks and prevent them in advance; Location-based Information Services will provide customers with more personalized services.

Services: Many foreign governments have implemented open data platforms, to provide more help to the public and departments, but this also needs to open up the sector's interest barriers to this important challenge; third-party data-trading platforms will be more available, and the platform can provide services based on data from multiple sources.

"Hadoop is a technology that is often mentioned in large data, and it is more applicable in some scenarios because of the low cost of implementation and the advantages of unstructured processing." "Pan Yonghua also points to the weakness of Hadoop, which is weak in the processing of pure structured data and in real-time trading applications, so businesses need to choose according to their own data nature."

The internal data of many enterprises in China is mainly structured data, the external data is mainly unstructured data, so the external data analysis should be done while using the internal data, so that the enterprise can use the technology other than Hadoop for analysis.

Large data to promote industry innovation

In addition to the changes in the above three aspects, combined with the active implementation of the government level, the big data also brings more and more obvious challenges to the real industry users. Pan Yonghua that the Internet companies often take large data as the basis for business innovation, and began to expand to the traditional industry, which also brought some pressure on the traditional industry, so the traditional industry also pay more and more attention to the application of large data.

The industry in which large data is applied is necessarily the internet industry, which is also determined by its genes. Internet companies have been using large data to innovate and optimize their business, because the data are available to them, especially those with the higher technical strength of bat.

Traditional industries will focus on finance, telecommunications, government, transportation and medical care. The large data of telecom enterprises are mainly embodied in the Operation Analysis System, which is limited by the system before the service, but can bring more business innovation to the operators after the upgrade. And operators are also trying to work with the traditional industry users to provide lbs information to help them to provide users with personalized services.

Pan Yonghua said that from the Hadoop point of view, the telecommunications companies can collect and analyze the user's online records, because the daily data update volume is too large, traditional technology is difficult to collect this volume of data, operators use Hadoop to achieve such a goal, but this is still in the initial stage, The future will also be in different levels and large data to do the corresponding combination.

And some financial industry users use social media information analysis, which can understand the different regions of the user's demand for financial management, so that can be based on different regions to provide regional characteristics of financial services. "Banks can transform some historical data into surviving data by means of large data technology, but at present it is mainly query-oriented and the future needs further development." Pan Yong said.

In addition to the active use of large data by industry users, in fact, the transformation of the service outsourcing enterprises has been driven, the traditional demand for human outsourcing has been weakened year in, and from offshoring to the domestic, which also prompted the service outsourcing enterprises also more in the new technology to seek business model changes for the enterprise to provide personalized solutions, This is also the figure of large data.