Pao: Large data is important in serving people's livelihood

Data markets are undergoing a series of changes: Data relationships have evolved from simple to complex, data sources have shifted from data entry to various sources, and data volumes have gone beyond TB to petabytes. Data model from the structural development to the semi-structured or unstructured ... This series of changes has spawned a large data age. Pao that although large data technology in a few short years of rapid development, but its ultimate advantage also depends on-service people's livelihood.

The emphasis of traditional data application on macro-grasp

We can see the traditional data application, based on the traditional relational database and the traditional data mining, its function lies in the macroscopic management of the data. For example, in the early stage of information construction, gradually completed the financial, banking, taxation, government, social security, medical and national safety and other aspects of the information work, these work is very important, and at the macro level to solve the general data statistics, analysis, management and application issues.

Pao: Large data is important in serving people's livelihood

Traditional data application is based on the determination of relational data model, data processing is relatively simple, the relationship between the theme has been established in the beginning of the system, and its analysis is based on this, the traditional analysis and processing is directed batch processing. And the large data analysis is to capture the unstructured data outside the traditional means, these unstructured information includes text, pictures, audio, video, click Streams, log files, network chats, data generated by mobile devices, data generated by wireless identification codes, and data to measure and transmit geographic and environmental information. The data may be incomplete and may have errors, but this makes the information available in these data analyses more informative.

With the deepening of information analysis technology, these traditional industries have shifted quite a lot of applications into the large data platform based on cloud computing, our familiar Hadoop platform, the global version of Hadoop, and more and more new cloud computing research on this platform, And around a variety of large data applications gradually spread.

Future Big data pay more attention to the nation's livelihood

Future Big data is built on a large public cloud base, requiring large-scale cloud data centers and high-performance storage, such as data from TB across to petabytes, and the need for Hadoop technology to support it. On the basis of public cloud, large data analysis can penetrate into various details of society.

Pao: Large data is important in serving people's livelihood

At present, the best scenario for large data application is electronic commerce, for example, through the user's purchase record and behavior habit analysis, can constitute the future consumption decision reference. For example, Japanese-made companies such as Procter and Gamble or Unilever will no longer just focus on macro market share and sales performance, they can learn more about the needs of users from a broader range of areas, such as whether consumers will prefer laundry, laundry or detergent in the future.

The power of big data in the future can also be radiated to areas such as education, health care and construction. For example, through the public cloud platform to understand the different institutions of professional enrollment and employment data, can understand the ratio of professional talent supply, if there are imbalances can be adjusted in the second year; After the public cloud is popularized, the medical census system and research methods will be more predictable, not only can we rationally allocate the Community health Service resources, It is also possible to allocate the layout of the three hospitals rationally, and the relevant departments can also find out the proportion and trend of diseases through medical data to adjust the public health strategy in time.

Pao as the leading domestic cloud computing and large data Service enterprise, 2013 also continued to enhance the large data strategy. Pao in Beijing, Guangzhou, Shenzhen Investment in the three high-quality cloud computing data Center has been completed and started operations. Large data dedicated server, large data cloud storage system has been applied to the market, the large-scale data processing technology model has been completed and tested. Bao de large Data cloud backup, is a dedicated to large data cloud backup solution, support entity machine and virtual machine backup, and have unlimited expansion of the possibility, and completely automatic.

Pao that the application of large data should be considered in terms of the depth of business, and the second is to consider the cost of reuse of equipment and data. In this principle, the Po Tak technical team can provide users with large data solutions for the development, deployment, transplantation and other services, to help users quickly across the threshold of large data, so that enterprises get rapid development opportunities.

(Responsible editor: The good of the Legacy)