An interactive real-time analysis method of land performance based on big data structure

Abstract

The invention provides an interactive real-time analysis method of land performance based on a big data structure, belonging to the field of big data information processing technology, by integratingthe enterprise legal person information data of multiple departments within the government, combining big data analysis technique, combining big data analysis technology, a set of interactive intelligent analysis tools is developed to facilitate government personnel to retrieve land performance efficiently and intuitively, and the land performance is comprehensively evaluated from the aspects of industry orientation, investment output, energy saving and consumption reduction, and development prospects, so as to greatly optimize the planning and management efficiency of industrial land for enterprises by the government.

Description

technical field [0001] The invention relates to big data information processing technology, in particular to an interactive real-time analysis method of land performance based on big data architecture. Background technique [0002] Big data online analytical processing (OLAP) is a software technology that is specially designed to support complex analysis operations, focusing on decision support for decision makers and senior managers, and can quickly and flexibly process large amounts of data according to the requirements of analysts. complex query processing, and present the query results to decision makers in an intuitive and easy-to-understand form, so that they can accurately grasp the business status of the enterprise, understand the needs of the object, and formulate the correct plan. It has the characteristics of FASMI (FastAnalysis of Shared Multi-dimensional Information), which is a fast analysis of shared multi-dimensional information. Among them, F is fast (Fast)...

AI Technical Summary

Problems solved by technology

As the amount of data continues to increase, the traditional data warehouse SQL technology has gradually been unable to meet the performance requirements of users, especially for super-large data sources such as legal person databases and spatial geographic information databases involved in land performance. Running a simple It takes more than 10 minutes to query the legal entity association, which makes land performance analysis extremely difficult

Government customers usually can only improve access performance by using summary tables and aggregation tables, which hinders the statistics and analysis of land performance

In addition, in the actual planning work of the government, it is necessary to conduct multi-dimensional hypothetical analysis around multiple measures of land performance, such as the analysis of the industrial structure adjustment of a certain plot, etc., but the existing tools have great limitations, or cannot cope with big data Multidimensional computing, or lack of interactive analysis capabilities, cannot meet this demand

Images