Multi-dimensional data analyzing system based on service objects
A business object and multi-dimensional data technology, applied in the computer field, can solve problems such as resource consumption, unsuitable for large-scale business data management, and difficult to meet needs, and achieve the effect of reducing resource consumption
Inactive Publication Date: 2015-07-22
SUZHOU GUOYUN DATA GOD TECH CO LTD
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Problems solved by technology
[0003] The current multi-dimensional data analysis tools on the market process data mainly through business modeling to generate cubes. Based on cube analysis, this method has several disadvantages: (1) It is necessary to generate specific cubes for specific businesses, and a business model is required. (2) The analysis of data can only be based on the generated cube, and the centralized management of data is not suitable for the management of large-scale business data; (3) The business scenarios are fixed, and can only be based on the scenarios supported by the model design. Difficult to meet the needs of
All existing technologies need to generate new cubes, and when the cube business changes, data update is a long and resource-consuming process
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[0026] The present invention will be further described in detail below in conjunction with the accompanying drawings, so that those skilled in the art can implement it with reference to the description.
[0027] To achieve the above object, the present invention is achieved through the following technical solutions:
[0028] A multi-dimensional data analysis system based on business objects, please refer to the attached figure 1 The system flowchart in , including the following steps:
[0029] Step 1) Decube, which includes:
[0030] Step 1.1) Sort out the basic information of the table, mark the primary key and foreign key, sort out the table set {T}, determine the data types of all fields, and sort out the field set {C};
[0031] Step 1.2) Business abstraction: identify all fields {C} in the table set {T} as business objects, and bind columns with the same meaning to the same business objects to form a dimension set {D}, measure set{M};
[0032] Step 1.3) Organize all th...
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The invention relates to a multi-dimensional data analyzing system based on service objects. The multi-dimensional data analyzing system includes the following steps that (1) cuboids are removed, wherein basic information of lists is combed, main keys and outer keys are marked, a list set {T} is tidied out, and a field set {C} is tidied out; service abstraction is carried out, wherein all fields {C} in the list set {T} are recognized into the service objects, and a dimension set {D} and a measurement set {M} are formed; all dimensions in the dimension set {D} are tidied, and superior and subordinate relations are well set for the dimensions with hierarchical relations; a logic Cube of all services is generated based on the relation of the dimension set {D} and the measurement set {M} through the system; (2) multi-dimensional analysis is carried out based on the service objects, wherein a user selects an object in the {D} and {M}, the optimal result set {Data} and the usable hierarchy dimension set {H} of the current service set are worked out; drilling is carried out, wherein a certain dimension is selected from the {H} to be switched to Child, and the Cube is analyzed by the system; scrolling is carried out, wherein a certain dimension is selected to be switched to the Parent, and the Cube is analyzed by the system. According to the scheme, the resource consumption of multi-dimensional data analysis is reduced to the maximum.
Description
technical field [0001] The invention relates to the field of computer technology, in particular to a multi-dimensional data analysis system based on business objects. Background technique [0002] At present, with the continuous development of computer technology, multidimensional data analysis has been widely used on various data analysis platforms. Multidimensional data analysis originates from OLAP (On-Line Analytical Processing, OLAP for short) technology, which is the core of OLAP technology. The metrics data obtained. [0003] The current multi-dimensional data analysis tools on the market process data mainly through business modeling to generate cubes. Based on cube analysis, this method has several disadvantages: (1) It is necessary to generate specific cubes for specific businesses, and a business model is required. (2) The analysis of data can only be based on the generated cube, and the centralized management of data is not suitable for the management of large-s...
Claims
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IPC IPC(8): G06F17/30
Inventor 柯志超马小东
Owner SUZHOU GUOYUN DATA GOD TECH CO LTD