Big data is very hot now, and companies and individuals are talking about it. Everyone has different views and opinions on big data. Many friends still have some misunderstandings about big data. For example, many people think that big data is the latest Technology, and some friends think that more data only serves oneself and so on.
Big data is not a new technology
Big data has now been integrated into our lives. People are exposed to big data in their daily work and office. These large amounts of data will always exist and be used in different forms and in huge quantities. This has also led many friends to think that big data is a A state-of-the-art technology. In fact, big data can be regarded as a new term or technical vocabulary, but the concept and technical aspects of massive data analysis for big data are not the latest. The chief technology officer of Teradata, a well-known big data and cloud computing company, once said in the industry that big data is a long-term project, not a high level in a short period of time, but for users, This is also a misunderstanding that many people tend to fall into. For the data analysis and other technologies of big data, there are actually companies doing it many years ago. Now the so-called big data has developed into a massive data analysis and storage technology in the cloud. What is new and what is old is actually Not well defined.
Big data is not a commodity
The public will have similar misunderstandings when they come into contact with big data. They think that big data is like the way we usually purchase servers and switches. Manufacturers list prices, then negotiate discounts with customers, and then install and debug products. In other words, when they first came into contact with big data, many people thought that big data is a data format that exists independently in a special form of data, and can be purchased like a server, but this is not the case in reality.
Gartner distinguished analyst Donald Feinberg once said that users can spend money to buy 100 servers, but can you be sure to buy big data? Obviously, big data is not a market, and we cannot look at it from the perspective of hardware. Big data is actually only an important part of technology in the IT industry. Many of our latest concepts and technologies are based on big data, such as cloud computing and virtualization.
Therefore, we cannot regard big data as a commodity or measure it with hardware standards. It is not a market, it is not even a commodity, and it is not new. This is also the general view of experts in the IT industry.
Big data is not a burden, not just for individuals
This topic seems to have become a well-known hot debate in the IT industry now. Many users believe that the original operating mode of big data is based on the most basic technical form. In fact, this view is a bit extreme. Big data itself still has huge potential. The key lies in how enterprise users use it correctly. According to the survey, there are still many enterprises that have not yet used or contacted big data, which is very scary. . The future is an era of data explosion, and the daily new data volume will increase exponentially. As long as the data exists and can be processed in an effective way in the future, there should be a chance to exist. Also an expensive opportunity, the data problem is how to turn it into clear and useful content through analytics, which is a huge challenge for businesses.
Additionally, according to Gartner, 30% of businesses will find a way to monetize their data holdings in the next few years. Selling user data to the highest bidder will cause concern and panic, but in all likelihood it will be guaranteed or threatened. This also answers the questions of many users. Now a lot of data is stored in the cloud, and users are also very concerned about the security of big data.
In the future, the storage of big data will not be simply for a certain user or a certain type of user, it will be presented to the user in an overall operation mode. Everyone's data constitutes the current massive data, so of course data security The problem, and data services are not just for a certain type of user.
How to break the 14 million big data talent gap?
At present, there is a gap between the theory and practice of big data, and school education cannot meet the practical application of enterprises. Some reports point out that big data talents have become one of the six types of talents with the most demand in China's Internet industry. In the future, China's basic big data The talent gap will reach 14 million, and this is why big data training is so popular!
According to a report released by professional social platform LinkedIn, the supply index of big data talents is only 0.05, which is highly scarce. In addition, big data talents have the fastest job-hopping speed, with an average job-hopping speed of 19.8 months. A newly graduated college student has a monthly salary of just 10,000 yuan, but after a few months of training, the monthly salary is far beyond the level of no training. This is also an opportunity for many big data training institutions. Institutions need a good curriculum system and enterprises. High-level project actual combat, Jamigu Big Data is such a big data training school .
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