Domestic manufacturers "congenitally deficient" large data development needs to add "local interpretation"

In the 2012, China and the United States, the world's first and second largest economies, were in the same month. While Gome has focused on the new leadership, the other side of the United States, Obama also use technology to win re-election.

According to foreign media reports, the Obama campaign behind the background of the data analysis team played a crucial role in the Obama re-election process, in the two-year campaign preparation, has been collecting, storage and analysis of voter data. And senior aides to the Obama campaign are drawing on the results of the team's data analysis to make the next campaign plan.

In the 2012, when big data heat went straight to cloud computing, Mr Obama's classic case of using big data to win the U.S. election became the best indication of the value of big data. In fact, the Obama administration announced in March 2012 that it would invest 200 million dollars to launch a "Big Data research and development program" that would lift large data technology from commercial behaviour to national will.

Although the industry is very much in pursuit of large data and attention, but in fact, the big data is widely mentioned only a few years, the market is low, still in the early stage, whether in the hope that the actual income of the user side, or actively promote large data popularization of the supplier side, both sides are still in a positive groping stage. It is gratifying that, in the context of the actual development of the industry, in the Internet, telecommunications and other industries, large data technology has landed and achieved certain results. At the same time, although Chinese manufacturers because of "congenitally deficient" in the industrial chain more vulnerable, the contribution of key products, such as data analysis, is almost blank, but as the global market is in its infancy, the huge demand for large numbers in China's markets will provide local suppliers with the right innovative soil to lay the groundwork for future big data markets. In this way, Chinese manufacturers will have new opportunities in the field of technological innovation.

Large data market in concept popularization period

Markets have never been isolated, and demand, technology, products, and environments are interconnected, especially in emerging areas such as big data.

On the one hand, with the increase of Internet and mobile Internet connection, the analysis agencies have used digital data explosion era is approaching, large data technology emerged. But the big data problem is not limited to the data explosion, but also causes the enterprise traditional IT architecture cannot satisfy the application data growth and so on. In fact, companies want to be able to solve difficult problems with large data, and derive the available value from the data to win business opportunities. Among them is the example of a "beer diaper", in which Wal-Mart analyses the shopping basket of its customers and finds that the most-purchased product with diapers is beer.

But the needs of different types of users are not consistent, the current "Users from large data mining value, need to use customized services." But in fact, it is difficult to find a standardized, commercial products to solve their own problems, enterprises need to develop themselves, but the traditional enterprise user development capacity is generally low. Gartner's chief analyst, Jin, said. For traditional enterprise users, it is inseparable from the provision of standardized commercial version of the solution based on customized services integrators, in Jin view, although there are huge business opportunities, but the model is still immature.

On the other side, hardware and software manufacturers also based on their own understanding of the corresponding products, solutions, but it is difficult to fit the real needs of users. At the same time, most of the existing products, solutions in Jin seems to have more or less the concept of the situation, it is difficult for enterprises to distinguish whether it is really to meet the large data solution, and the product itself is not so mature and verifiable. Especially in China's big data market, "although companies claiming to be able to provide large data services continue to emerge, quite a few have the ability to do early data mining and look to the concept of large data to attract users and venture capitalists," said Jin Feng, a senior consultant at the business management consulting firm. ”

The contradiction between supply and demand and the problems faced by each other make the big data market surging in time, and also form a certain bubble. In the past 20 years, the concept of speculation has become an important work of entrepreneurs, venture capitalists, they do not fully expect to be able to do the industry, but with the concept of profit in the capital market. Jinfeng said that the current large data market, there are also this type of company.

Giant Big Data

Although not to avoid speculation big data concept of suspicion, but some traditional it vendors or by accumulation, or through acquisitions, the business tentacles extended to large data areas, launched their own large data strategy.

As one of the first companies to propose large data concepts, IBM aims to provide integrated solutions such as servers, database software and expert systems, aiming at radiating the entire data industry. At the same time, also launched a large data analysis products, through Hadoop and memory analysis technology to achieve large data storage and analysis, and set up a professional advisory team.

Oracle, which is deeply in the database market, is database-centric in the big data market, followed the integration of integrated design ideas, the large data machine as a source of large data, coupled with its middleware cloud server, Database cloud Server, business Intelligence cloud Server constitutes a product portfolio to meet the needs of large data users.

EMC, with its storage, management, and protection advantages, chooses to use cloud computing open, distributed, and cluster technologies to handle large data.

Intel, which started with chips, also released its own Hadoop commercial release this year, which includes analysis, integration, and development components, and optimizes the different combinations.

Software vendor SAP also publishes High-performance analytics applications to meet the enterprise's demand for efficient processing of massive amounts of data.

Now, traditional it vendors by virtue of their own strength and technology accumulation, has become the main force in the data market.

(Responsible editor: The good of the Legacy)