Big data need to be open haven platform for HP in China

Through a variety of channels of continuous publicity, almost everyone has a good outlook for large data, firmly believe that as long as the help of large data can be in the commercial war without. This seems to be true if the current general understanding of large numbers and the potential of large data are available. But we have to say, although the big data itself is beautiful, but the road to large data is indeed tortuous, many companies in the process of crossing the threshold of large data are "inadvertently fall."


a http://www.aliyun.com/zixun/aggregation/32268.html "> Survey of Business owners in different regions shows that in China, 45% of the big data practices in the enterprise have failed, In areas other than China, the ratio is even as high as 58%. On the one hand, we are pleased with the cautious attitude of Chinese enterprises in the process of large data practice. Because many of our business owners have not been fooled by others and blindly launch the level of various projects, but on the other hand, we still have to explore what is to let nearly half of Chinese companies fall on the threshold of large data.


fail, that is to say, it is impossible to achieve the stated goal. And careful analysis of the enterprise in the big data process failure is only two points, first set the goal is too high, the current technology can not do or do the cost is too high; the second is the wrong tool.


for the 1th, we have no way, can only hope that with the company's leadership can have more mature decision-making and do a good job in advance investigation. And this 2nd is the direction of the current industry efforts.

The focus of
data is undoubtedly analysis and management, and in this context, the user's current choice can be said to be quite rich. Many vendors, including IBM, Oracle, HP and SAP, have launched their own large data solutions. But frankly, the current large data related applications are still in a primary stage, the relevant solution of the release and landing is also a matter of the last two years, each solution will inevitably appear imperfect place. So the question emerges again, and in many solutions, how should companies choose? Perhaps a more open platform solution would be an ideal choice. Use the power of the ecosystem to increase the speed of the development of large data by opening instead of closing.


as each has the focus of different vendors, want to meet the needs of a user is relatively simple. But large data as a comprehensive innovation in business models and it architectures, the user's demand for it is clearly all-round and diverse, and in the face of this demand, the strength of a single manufacturer is difficult to do everything, and at this time, a platform-open platform solution is the best we can see the choice.


Just as Android can beat iOS with free and platform power as the most mainstream operating system in the smartphone world, a large data platform solution with a free, full-featured version is clearly more dynamic and competitive.


in such a large data "primary stage", how to quickly build alliances and Word-of-mouth for any large data solution provider is critical. And as the article said earlier, because many users choose to wait in front of large data, which makes it difficult for the manufacturers to accumulate relevant large data experience quickly, and in this case, an open and free platform may be a better choice.