Large data age not to be "big"

When the "data" plus a "big" word, it will be reborn, provoked the popular pursuit of the crowd. It is understood that in the past 2012 years of large data in the domestic output value reached 12 billion yuan, one at a time to become the most favored object of the venture. IBM, HP, SAP, Oracle and a series of large bowls of software theirs data, "Software + hardware + solution" http://www.aliyun.com/zixun/aggregation/14294.html "> Large data product model is popular in the market.

As a result, the conclusions of large data-generating business opportunities are widely accepted, but a recent survey of large data real-time analysis tools, launched in Gigaspaces, shows that only 12% of companies currently use real-time event-handling tools. This phenomenon has to let us re-examine the phenomenon of large data, not only to know it, but also to know the reason why, more to know how to place it.

Enterprises or individuals are creating large amounts of data through consumer transactions, network interactions, geographic information, knowledge documents and so on, which has also become an important factor in the formation of large data. But data is not the same as information, and the growth of data does not mean that the amount of content is increasing, not the same percentage of growth, and that the amount of information that is valuable to you may not increase.

Boring data to filter, classify, integrate, analyze, refine and so on a series of cobwebs steps, can sublimate to become valuable information, so do not simply think big data come, value information came, opportunity came. In addition, today's data volume is indeed huge, every day can produce terabytes of data enterprises and a few, only Sina micro-blog One day released content has broken billion. But 11545.html "> do we have any statistics on the probability of duplication of data?" Simple copy, forwarding and other actions, dedicated to the data surge in the cause, it can be seen that information is not accompanied by the absolute increase in data. On the contrary, a blowout in the data has led to a drop in the share of information that has hampered the enterprise's potential value.

Therefore, calm treatment of large data era, not because of the large amount of data and halo, and not because of the amount of information and secretly pleased. Large data can be brought with fire data storage, data mining, data analysis and so on vendors, but is not can take the fire enterprise management, is not every enterprise users need related software, hardware and other issues to be discussed. 12% per cent of business usage may not be as low as people think.

(Responsible editor: The good of the Legacy)