The Research And Design Of Power Enterprise Unstructured Data Management Platform

With the development of network technology, the power industry and enterprise generated a lot of unstructured data, including text, video, audio, pictures and other files in different formats.It can provide decision-making data for business leadership research enterprise development,found issues by mining valuable data.Many power companies business data in a dispersed state, unable to form a unified management model; there is a data retrieval efficiency is not high, not unified storage environments, utilization is not high. The Project for the Construction of unstructured data management platform,unstructured data storage, unified management and unified search, but also to enhance the core of enterprise data management level, with huge research and application. This paper proposes a formal basis based on actual demand, it has great value.The subject system in the application of the system architecture using J2 EE architecture designed to support N-tier service model. Meet the following requirements in the development of architecture and technology direction: a multi-layer architecture using J2 EE B/S application model, the use of middleware technology, developed using Java technology, follow the XML data standards, business-driven model based workflow. Storage technology using Hadoop, HBase distributed database technology and Lucence retrieval of unstructured data management technology. This paper first studied the subject construction background, the related art has been described in terms of business processes, use cases and other functions of the system demand analysis,focusing on the overall system design and detailed design, and finally the function implementation..Through the construction of this management platform, unstructured data indifferent business systems within the enterprise extraction, optimization, processing,storage, centralized storage and real-time data management, support for fast retrieval of data, so that the relevant companies to quickly, efficiently and accurately and easily retrieve the data required, to provide enterprises with knowledge accumulation, to better help employees get inside information, as well as enterprises to provide basis for decision support.