Large data oncoming surge machine emerged

At present, all walks of life will face a huge demand for data processing, which makes large data become the most fiery vocabulary, in order to meet the current application of production needs, large data one machine emerged. So what is a big data integration machine? Why must large data be handled in one machine? What are the advantages?

What is a large data integration machine?
To explain large data integration, first we need to understand what is large data?
Many people understand the concept of large data as a mass of data, which is not wrong, but not comprehensive. Baidu Encyclopedia of large data interpretation is-big data, or the vast amount of data, refers to the volume of data involved in the large scale to be unable to pass the current mainstream software tools, within a reasonable time to achieve capture, management, processing, and collation to help the business decision-making more positive purpose information.

4V features of large data: Volume, Velocity, produced, veracity.

It can be said that these four "V" summed up the large data of the four levels, a comprehensive description of the large data concept. However, some people in the industry learned that the big data has another important significance, that is the characteristics of value, refers to do valuable large data.

For the above understanding of the concept of large data, and then to explain the large data integration machine. Large data integration machine appears to meet the large data age production needs, so large data integration machine can be understood as, on the basis of processing large data, manufacturers by virtue of their own in the field of large data technology accumulation, the hardware and software organically integrated together to provide a complete set of solutions to customers, to help customers effectively carry out large data processing.

Where is the advantage of large data integration?

Advantage One: Shorten the time of user system on-line

Large data integration machine can significantly shorten the user system on-line time. For example: A customer needs a customized system, from the requirements analysis, planning, selection to the implementation of the general needs of 3-4 months time. One machine can reduce the time flow, may only need 10-15 days can be deployed to complete, for customers to quickly respond to market demand, on-line new applications to provide a great convenience.

Advantage Two: Maximize compatibility

In addition, large data integration machine manufacturers in the development phase, the technical staff will be the product of every detail to adjust to ensure that one machine hardware and software to achieve the best combination of state. In addition, integrated machine software and hardware integration, manufacturers can provide a sound service and technical support, more easily docking with customers.

Advantage Three: Convenient maintenance

In addition, large data integration machine can provide convenient maintenance, in order to reduce the enterprise's it operational requirements. Generally speaking, the enterprise actually usually only 1~2 the individual to carry on the operation dimension to it, the manpower is not sufficient. If the information system of a certain part of the problem, may involve 4~5 manufacturers, the middle of the coordination and benefit balance will cost a lot of time and energy, and in the solution of the problem at the same time software and hardware vendors may appear mutual "buck" phenomenon, often the problem can not be resolved in a timely manner. So one machine is a good solution to this problem, the product problem only need to find a manufacturer to solve it, will not appear to shirk the responsibility of the phenomenon.

Huge data Market Potential

According to the relevant statistical agencies, by the end of 2011, the world's data production reached 1.8 trillion GB, the next 10 years will also increase 50 times times, the rapid accumulation of massive data contains significant business value and social value-through the mining of massive data, in the next 2-5 years, 45% of enterprises will invest in large data, To ensure survival in an increasingly competitive business environment. Large data has become one of the fastest growing areas in the global IT industry, as an important component of the large data industry, the future of China's large data potential market size is expected to be nearly 2 trillion yuan, while the global market is higher.

We see more and more service providers start to focus on and enter the big data market. Nanjing Cloud Record Storage is one of the best, last year, Intel United Nanjing Cloud Storage Technology Co., Ltd. launched the Intel Xeon E5 processor platform based on the data Cube cloud computing integrated machine, which has "PB-class data storage, second-level processing" characteristics, The challenge of large data storage and query, processing and analysis under the environment of cloud computing and large data age will be a sharp weapon to deal with the challenge.