Tidal wave of clouds financial data integration machine: Industry customization

Source: Internet
Author: User
Keywords Large data custom

In the big data age, the amount of data produced by the financial industry every year is staggering. According to incomplete statistics, China's large commercial banks and insurance companies have reached more than 100TB of data, from transactions, journals, events, mail, although the internal data still accounted for a large proportion, as the Internet financial attacks, the financial industry also need to use the network data, from social media, sensors, geographic information, Audio and video and other information can not be underestimated. Take the bank as an example, the annual production of structured data has more than 5PB, unstructured data over 15PB, each online payment business, only record the amount of data users online behavior of more than 1 GB. In order to realize the "customer-centric" precision marketing, risk control and enhance the industry competitiveness, the traditional financial industry needs to face many data-related problems:

How to achieve fast and efficient mass data processing for multi-source data?

How to deal with the fragmented data generated by internet finance and respond quickly to the risk problems caused by demand?

How to make full use of data analysis, mining to obtain greater economic benefits?

In response to these problems, the tide and the domestic leading financial information solutions provider of the South-day information jointly launched a financial industry-oriented large data mining, analysis platform-tide clouds financial large data integration machine, is an integrated, one-stop delivery of the overall solution to adapt to the industry large data application characteristics of the new processing technology, To help users across the technical threshold of large data applications, flexible scalability to fully meet the rapid changes in business, service types and diverse needs.

Heterogeneous processing, flexible expansion

Tidal wave of cloud finance large data Integration machine architecture in the distributed wave Cloudcanyon above, can effectively break the I/O processing bottlenecks, real-time analysis, response to a large number of financial data, the largest processing scale can be to Ching; financial data multi-source Information Fusion analysis, one machine can handle structured, semi-structured, Unstructured data from the network, multimedia, multi-platform to meet the financial industry business innovation data processing needs;

In addition, it uses share nothing distributed processing architecture, at the bottom of the multi-level algorithm optimization, can be extended from 10 nodes quickly to 4000 nodes, and can ensure good linearity, fundamentally solve the traditional architecture in performance, scalability problems, To meet the needs of the future financial industry to guide the rapid changes in business.

Soft and hard one, that is to pay

Wave of clouds financial large data integration machine fully implemented the soft and hard integration of "end-to-end" delivery, integration of storage, computing, software, platform units and other components to eliminate technical barriers, provide a visual interface to support the financial industry historical data inquiries, precision marketing, flow processing and financial risk control and other business.

Based on the sea of Clouds financial management platform, can achieve rapid installation deployment. As a high-performance integrated machine, in the factory has done a variety of configuration of the combination of delivery to the user, just plug in, start the network, such as simple steps can be applied, can be comparable to the current Internet new business online speed.

(Author: Li to the editor: Li Xiangjing)
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