Public service system under mass data

Abstract

A public service system under mass data includes eight modules of geographic information, video synthesis, data management, component operation and maintenance, unified access, full-text retrieval, multi-language and data bus modules. The public service system provided by the invention integrates universal public service components, provides comprehensive, deep and efficient public services for an upper-layer application, and effectively guarantees effectiveness, pertinence and convenience of utilization of bottom layer mass data by the upper-layer application.

Description

Technical field [0001] The invention belongs to the field of information technology, and specifically relates to the processing and application of massive data. Background technique [0002] At this stage, with the continuous development of information technology, the continuous presentation of massive amounts of data, the complexity of data formats, and the diversification of data applications, data plays an increasingly important role in the current informatization construction. As a data center for centralized management of data, it acts as a transit hub The role of. At present, the data stored and managed in most data centers cannot effectively and conveniently provide services for upper-layer applications, and does not truly reflect the potential value of the data. This is mainly because the upper-layer applications closely match the actual needs of users and are partially disconnected from the data stored in the data center. Therefore, it is necessary to build a bridge bet...

AI Technical Summary

Problems solved by technology

At present, the data stored and managed in most data centers cannot effectively and conveniently provide services for upper-level applications, and does not really reflect the potential value of the data, mainly because the upper-level applications closely match the actual needs of users and are partially disconnected from the data stored in the data center. Therefore, it is necessary to build a bridge between upper-layer applications and basic data that can convert user needs and data utilization, provide comprehensive and seamless application services for upper-layer applications, and fully invoke data and mine data utilization value for lower-level applications.