Talk about the triple door of big data

Let’s talk about the triple gate of big data.
　　Humans have realized the storage of information, just like Time Machine. Going back to any point, reconstructing past images through existing data can also predict the future and simulate a virtual and accurate future environment. . Link of Brothers Cloud Computing Training will tell you about the triple gate of big data www.lampbrother.net The first stage of big data 　　This

is the first stage of big data, and it is also the stage that big data is currently in.

The appearance of this stage is:
　　the big data department is blooming everywhere in most companies, and
　　everyone is rushing to it. The inevitable result of
　　this stage is:
　　everyone finds that a lot of manpower and material resources are spent, and
　　the results are limited after all.
　　Although most companies consume a lot of money, but It did not bring due value, but a by-product that it brought was that the
　　company spent money on industry and academia, and
　　accumulated a large number of big data talents.
　　These talents will generate great value in the second stage.

　　Why does cloud computing training make the above conclusions? Let me give an example first. Just to build a decent data platform, it takes 5-6 skilled big data engineers to toss for more than half a year, not including the real foundation Multi-dimensional analysis, machine learning (prediction) and other products, and these products are also very difficult and require a lot of manpower. The key is that they may not be able to do well. To achieve efficient computing and system stability, there are also many requirements for the number of machines, because most big data components are distributed.

　　At the same time, many people have realized the difficulty of implementing big data, and some companies specializing in the big data industry have also begun to grow slowly. These companies cover from the development of big data components, to the construction of big data platforms, to The upper-level solution of the big data platform, and it has slowly extended its tentacles in various industries.

　　For example, the current hot Internet finance is actually relying on big data to do a variety of credit information, fraud detection, automatic lending, etc. that were originally valued by the financial industry. These technological changes based on big data have greatly improved the efficiency of the financial industry and provided a foundation for faster capital flow, which will have a profound impact on all industries.

　　However, these companies have not yet formed the mainstream at the current stage, and various companies still prefer to build their own data platforms.

　　The second level of big data When
　　entering the second level, there will be four obvious characteristics:
　　After a large number of small and medium-sized enterprises hit a wall, they realize that it is not the wisest choice to do big data by themselves, and turn to solution providers. .
　　A large number of big data service companies have begun to do original accumulation. It has been fully developed in technology and industry experience, and has formed a good reputation in the industry, and its industry tentacles have covered most industries.
　　Large companies find that their main business is not to do big data after all, but to better help their existing products or guide them to make new products based on the results of big data. At this time, large companies themselves began to slowly seek the support of some third-party big data companies.

　　Better data regulation support to ensure data privacy, security, etc. within the industry (important).

　　At this time, the entire big data industry began to slowly return to a rational and mature stage, and everyone performed their duties. BAT will still focus on its own main business. Although big data is a transformative technology, it is ultimately for products and services, and companies with big data genes should do better. This is also inevitable under the human division of labor system.

　　At this time, due to the accumulation of talents in the first stage, many people will come out to start a business, and big data entrepreneurship will become a trend, and it will flourish and gradually cover all fields of various industries. With the passage of time, some companies have cultivated in their respective fields and gradually formed heavyweight solution companies in some fields. Whether it is a small and medium-sized enterprise or a large enterprise, they will gradually transfer their big data business to more professional ones. big data company.

　　At this stage, private deployment may still be the mainstream.

　　The third level of big data When it

　　reaches the third level, there will also be several characteristics:
　　1. Big data companies will also form three poles, similar to the current BAT, which has Godzilla in the industry.
　　2. The development of cloud computing has arrived: the
　　vast majority of small and medium-sized companies are already in the cloud;
　　large companies have fully popularized the hybrid cloud architecture

　　. At this time, several giant companies in the field of big data are slowly abstracting their business scenarios. The coverage is almost the same, and it has gradually become a big data cloud service company.

　　At this point, the following interesting situations may arise:

　　These big data companies will build their own big data platforms on several mainstream cloud platforms to facilitate the data access of enterprises

　　Most enterprises may only have analysts inside, no longer There are data platform architects, algorithm engineers, etc. The specific situation is similar to the current use of public cloud, and some basic operation and maintenance positions are gradually eliminated.

　　The corresponding big data companies should produce far better benefits than users themselves, because they have accumulated a lot of common industry experience. It should save a lot of business and social costs.

　　After the

　　cloudification is the trend of the entire IT industry, and various industries on it, such as the big data industry, cannot escape this general trend after all. Big data and cloud computing are the foundation of the entire new information revolution. I hope everyone can ride this huge wave and reach the other side of their own.