S Archives Review Big Data: Reality disappointments the future is very good

Looking back on the past 2012, big figures have had unprecedented opportunities in the year. In the eyes of the IT enterprise, what is the prospect of big data, worthy of such a strong investment? After a year of efforts to explore what has been harvested, the current development bottlenecks appear in where? This issue of the S archives takes you to explore the development of large data.

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Throughout the 2012, major IT companies have been keen to invest strategically in large data. Large data is a concept that encompasses a number of areas, involving multiple industries, and each IT enterprise is deeply developed in its own area of expertise. Throughout the 2012 it area has many noteworthy events: in the storage area we can see deep collaboration like Lenovo and EMC, deep mining of DELL, LSI, etc. in the storage market; In the solution area we can see the release of large data machine, shuttle minicomputer system on-line; In the field of supercomputers can see Cray, Shuguang and other enterprises to invest, TOP500 Super computer performance on the new level, while the upstream of the two major enterprises IBM and Oracle, also in the endless horse racing enclosure, is committed to building hardware and software integration environment. Many of these events are more or less associated with large data, and are well prepared to cope with the potential torrent of data.

According to the relevant reports, the future of large data areas also contains huge commercial value, the development speed even more than the current mobile interconnection development speed. It's not hard to understand why it companies are making a variety of moves to deploy strategically.

But what corresponds to this boom is that the development of big data is not satisfactory. At present, the Internet has been deep into people's lives, can collect a lot of data every day, and even research shows that the amount of data produced by human beings from the emergence so far is just the amount of data produced by today's society. But the value of large data is very limited, and currently only plays a key role in several areas, such as finance and insurance, and it does not show much value in most areas. And let large data play a role in the field has a common, is the channel closed, the information collected is authentic, at the same time the data type is very close to the structure of data, easy to computer processing. Structured data in large numbers accounted for a very small proportion of people's lives are exposed to unstructured data, such as video, pictures, various kinds of information can not evaluate the text, and so on, in the unstructured data research and collation, is still at a very elementary level.

The lag in the development of large data research will also generate a thirst for professionals. For example, informatics professionals, mathematics professionals, computer software and hardware research and development personnel, and so on, will contribute to the growth of large data, and for it enterprises, the appropriate talent strategy will promote their own professional development in the field of large data strategy to seize the initiative. Therefore, it is not difficult to predict that with the further development of large data, the large data-related talents will also be of great concern.

When it comes to big data, there's one more thing to say about data security. In fact, at the beginning of large data development, the issue of data security has been continuously discussed, although there are many questions about data security, but the slightest impact on the development of large data. Just as we are accustomed to depositing money in banks, we will also be accustomed to delegating important data to more professional third parties in the future.

In short, despite the slight murmur, although the current situation is not satisfactory, but the development of large data is still very optimistic, it companies are willing to carry out strategic deployment as soon as possible, in the infrastructure of the full push of the manufacturers, big data will eventually achieve a very large market.