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Big Data Storage

Big Data Storage


Background 

With people stepping into a digital information age, the amount of various business data of enterprises indicates an increase in a geometric progression in recent years, and these data need an extremely long time of storage with the accessibility guaranteed. Storing mass business data onto the extremely expensive first layer of disk is not a wise choice, and the optimal solution can be found with respect to storage infrastructure and business requirements, so as to improve IT efficiency comprehensively and reduce the maintenance time for storage management system.  

Problems to be solved

To reduce data storage cost, increase data reading and using efficiency, lay a solid foundation for big data analysis, and to increase the usability of data assets;

To improve IT Department's efficiency, and to reduce the maintenance time and cost for storage management system;

Solution

The content of storage construction can be divided into several aspects, namely online storage, business high availability, data protection, remote disaster recovery and unified management etc. With the development of society, more and more enterprises pay greater attention to the value of data assets. In order to exert more function of data, the need for big data storage emerges as the times require, and mass data storage has become the foundation for big data analysis. For mass data storage, we support storage of multiple types of data in multiple forms. We can reduce data storage cost and improve data use efficiency via Hadoop distributed storage, and provide a powerful support for data analysis via the establishment of distributed storage and computing platform, as well as the combination of workflow platform, content management platform, image platform and centralized operating platform. Besides, available business models can be generated via processes such as the modeling and computing of business model, as well as algorithm realization and model validation etc.; after that, we can provide visual, decidable and applicable data analysis result for customers via analysis result demonstration using data visualization tools.  

Highlights and Characteristics

The system features manageability, extendibility, compatibility, energy saving and high availability;

Customer Benefits

To improve the data storage efficiency, increase the data use efficiency, and to expand the use of data assets, so as to provide a basis for customer's decision and development.

Advocated Ideologies

As the core content of data center - the deployment and implementation of storage architecture shall be grasped as a whole, so as to meet constantly increasing requirements on application and performance. The construction of storage architecture of data center shall be based on the principles of unified planning, gradual implementation, openness and standardization to guarantee the reliability and usability of the whole system.

Typical Case

China Post's Electronic Image Reimbursement System

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