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Multi-dimensional analysis method and device for mass data

A multi-dimensional analysis and mass data technology, applied in the field of communication, can solve the problem that mass data cannot be analyzed in real time, and achieve the effect of efficient multi-dimensional analysis

Inactive Publication Date: 2015-12-30
ZTE CORP
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a multidimensional analysis method and device for massive data, in order to solve the problem that the existing OLAP cannot perform multidimensional analysis in real time and efficiently on the massive data stored on the Hadoop platform

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Embodiment Construction

[0051] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to specific embodiments and accompanying drawings.

[0052] The embodiment of the present invention provides a method and device for multidimensional analysis of massive data, which solves the problem that the existing OLAP cannot perform multidimensional analysis in real time and efficiently on the massive data stored on the Hadoop platform.

[0053] The multidimensional analysis method of massive data in the embodiment of the present invention, such as figure 1 shown, including:

[0054] Step S10: Analyzing the multidimensional analysis query request initiated by the user to obtain an analysis result, the analysis result including: the cube multidimensional model information corresponding to the multidimensional analysis query request and the structured query statement SQL;

[0055] In a specif...

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Abstract

The invention provides a multi-dimensional analysis method and device for mass data. The multi-dimensional analysis method and device are used for solving the problems that multi-dimensional analysis can not be efficiently conducted on mass data stored on a mass data source Hadoop platform through existing online multi-dimensional data analysis OLAP in real time. The method includes the steps of analyzing and processing a multi-dimensional analysis query request issued by a user to obtain an analysis result, wherein the analysis result includes cube multi-dimensional mode information corresponding to the multi-dimensional analysis query request and a structured query language (SQL); obtaining a data source matched with the cube multi-dimensional mode information, and establishing the connection relationship with the data source, wherein the data source comprises the Hadoop platform and / or a relationship database; obtaining the data query result from the Hadoop platform or the relationship database according to the connection relationship and the SQL; converting the data query result into a multi-dimensional result according to the cube multi-dimensional model information, and returning the multi-dimensional result to the user. By means of the multi-dimensional analysis method and device, the aim of efficiently conducting multi-dimensional analysis on mass data stored on the Hadoop platform in real time is achieved.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a method and device for multidimensional analysis of massive data. Background technique [0002] Online real-time multidimensional data analysis OLAP is an application of the data warehouse system. It designs a variety of possible observation methods for specific analysis topics, and designs the corresponding analysis topic structure (that is, design fact tables and dimension tables). Fast, stable and interactive access based on multi-dimensional models to achieve complex analysis and data prediction. [0003] At this stage, the scale of data sources supported by OLAP of many manufacturers is limited, and the scale of supported fact table data is at the terabyte (terabyte) scale, which cannot handle the massive data stored on the Hadoop (a distributed system architecture) platform. Real-time and efficient multi-dimensional analysis brings certain inconvenience to ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 吕燕
Owner ZTE CORP
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