CN110377668A - Data analysing method and system - Google Patents
Data analysing method and system Download PDFInfo
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- CN110377668A CN110377668A CN201910535655.1A CN201910535655A CN110377668A CN 110377668 A CN110377668 A CN 110377668A CN 201910535655 A CN201910535655 A CN 201910535655A CN 110377668 A CN110377668 A CN 110377668A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
- G06F16/285—Clustering or classification
- G06F16/287—Visualization; Browsing
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Abstract
The invention discloses a kind of data analysing methods, including receive and obtain configuration data request；According to the data obtained in configuration data request database；Dimension management and cohesively managed are carried out to the data of database, are respectively formed dimension table and Aggregation Table；Dimension table and Aggregation Table are loaded, the data model comprising dimension table and Aggregation Table is obtained, parses and manages the data model and obtain dimensional model, Multidimensional Data Model and SQL model；Request results are returned according to configuration data request is obtained.When responding report request in the prior art, Data Analysis Platform is after data source obtains data, low-response low to the treatment effeciency of data.Present invention seek to address that carrying out processing after obtaining data source to the data of acquisition and achieving the purpose that improve efficiency.
Description
Technical field
The present invention relates to data analysis technique fields, more particularly, to a kind of data analysing method and system.
Background technique
Data Analysis Platform is a kind of configuration Core Generator of data analysis special topic, meets user demand for rapid build
Data analyze thematic data, the generation of Data Analysis Platform be in order to solve the problems in traditional report development process, for fortune
The offers such as battalion personnel, corporate decision person, data analysis project teacher are effective, accurate data analysis service；Outstanding data analysis
Platform first has to meet the functions such as data query, statistics, multidimensional analysis, data sheet, and company represented by the internet is more next
More pay attention to data, data acquisition is no longer difficult point, and difficult point is how agility analyzes the data obtained.
When responding report request in the prior art, processing of the Data Analysis Platform after data source obtains data, to data
Low efficiency, low-response.Present invention seek to address that after obtaining data source, carry out processing to the data of acquisition and reach to improve efficiency
Purpose.
Summary of the invention
In view of the above problems, the invention proposes a kind of data analysing method and systems, respond report in the prior art and ask
When asking, Data Analysis Platform is after data source obtains data, low-response low to the treatment effeciency of data.Present invention seek to address that
After obtaining data source, processing is carried out to the data of acquisition and achievees the purpose that improve efficiency.
In order to achieve the above object, the embodiment of the invention provides a kind of data analysing methods, comprising: receives and obtains configuration
Request of data；
According to the data obtained in configuration data request database；
Dimension management and cohesively managed are carried out to the data of database, are respectively formed dimension table and Aggregation Table；
Dimension table and Aggregation Table are loaded, the data model comprising dimension table and Aggregation Table is obtained, parses and manage the number
Dimensional model, Multidimensional Data Model and SQL model are obtained according to model；
Request results are returned according to configuration data request is obtained.
Further, described receive obtains configuration data request to receive the acquisition configuration report sent according to Report Designer
Table request of data, the Report Designer are used for the self-service analysis of report, report management, and report shares and report publication.
Further, the Report Designer establishes the second Multidimensional Data Model according to the request results.
Further, the Report Designer includes the chart module for being inserted into chart, for editing the chart of chart
Editing machine, the style editor of managerial report pattern and for triggering the insertion chart edit chart or control chart function
Control.
Further, the Report Designer further includes permission control module, is matched according to the user role setting acquisition
Set the permission of data.
Further, described to obtain configuration data request to obtain the request for configuring report data.
A kind of data analysis system, including server and client side's equipment, the server include
One or more first processors, first memory and one or more first application program, wherein described one
A or multiple first application programs are stored in the memory and are configured as being executed by one or more of processors,
One or more of first application programs are configured as executing following method:
Receive the acquisition configuration data request that client device is sent；
According to the data obtained in configuration data request database；
Dimension management and cohesively managed are carried out to the data of database, are respectively formed dimension table and Aggregation Table；
Dimension table and Aggregation Table are loaded, the data model comprising dimension table and Aggregation Table is obtained, parses and manage the number
Dimensional model, Multidimensional Data Model and SQL model are obtained according to model；
Request results are returned to client device according to configuration data request is obtained.
Further, the client device includes to provide the display of user interface, for showing request
Configuration data；
One or more second processors；
Second memory；
One or more second application programs, wherein one or more of second application programs are stored in the storage
It in device and is configured as being executed by one or more of second processors, one or more of second programs are configured as reporting
Table designer
Further, the Report Designer is used for the self-service analysis of report, report management, and report shares and report publication.
Further, the Report Designer includes the chart module for being inserted into chart, for editing the chart of chart
Editing machine, the style editor of managerial report pattern and for triggering the insertion chart edit chart or control chart function
Control, the Report Designer further includes permission control module, according to user role be arranged it is described obtain configuration data power
Limit.
The embodiment of the invention provides a kind of data analysing methods, comprising: receives and obtains configuration data request；According to acquisition
Data in configuration data request database；Dimension management and cohesively managed are carried out to the data of database, are respectively formed
Dimension table and Aggregation Table；Dimension table and Aggregation Table are loaded, the data model comprising dimension table and Aggregation Table is obtained, parses and manage
The data model obtains dimensional model, Multidimensional Data Model and SQL model；Request knot is returned according to configuration data request is obtained
Fruit.When responding report request in the prior art, Data Analysis Platform is after data source obtains data, to the treatment effeciency of data
It is low, low-response.Present invention seek to address that carrying out processing after obtaining data source to the data of acquisition and reaching the mesh improved efficiency
's.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for
For those skilled in the art, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 shows data analysing method schematic diagram according to an embodiment of the invention.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described.
In some processes of the description in description and claims of this specification and above-mentioned attached drawing, contain according to
Multiple operations that particular order occurs, but it should be clearly understood that these operations can not be what appears in this article suitable according to its
Sequence is executed or is executed parallel, it should be noted that the description such as " first " herein, " second ", is different for distinguishing
Message, equipment, module etc. do not represent sequencing, also do not limit " first " and " second " and are different type.
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those skilled in the art's every other implementation obtained without creative efforts
Example, shall fall within the protection scope of the present invention.
In conjunction with Fig. 1, a kind of data analysing method, comprising:
It receives and obtains configuration data request；The reception obtains configuration data request and is sent to receive according to Report Designer
Acquisition configuration report data request, the Report Designer be used for the self-service analysis of report, report management, report share and report
Publication.
Report Designer includes the chart module for being inserted into chart, for editing the bar chart editor of chart, management report
The style editor of table sample formula and for triggering the insertion chart, edits the control of chart or control chart function.The report
Designer can store in any client, and the client can be fixed computer processing equipment, be also possible to mobile meter
Calculation machine processing equipment.User triggers chart module, chart module by the control of the carrying triggering command of client interactive interface
Insertion chart movement is executed after obtaining trigger command, the chart module is made of instruction code；Similarly, user passes through client
The control of the carrying triggering command of interactive interface triggers bar chart editor, and executive editor schemes after bar chart editor obtains trigger command
Table movement, bar chart editor are made of instruction code；Similarly, the control that user passes through the carrying triggering command of client interactive interface
Part triggers style editor, and style editor obtains the movement of execution managerial report pattern after trigger command, the managerial report
Pattern includes increasing, and is deleted, inquiry or modification report style.
According to the data obtained in configuration data request database；Java database programming interface (JDBC) can be passed through
The data database is accessed, which can be SQL database, and the data in the database can be obtained from data source,
Data source can be in other databases comprising a variety of data obtain (type of other databases can be Sqlserver,
Mysql, Access, Oracle, Paradox, dBase, FoxPro, MS Works or db2).
Dimension management and cohesively managed are carried out to the data of database, are respectively formed dimension table and Aggregation Table；Dimension is dimension
Spend basis and the soul of modeling.In dimensionality analysis, measurement is known as " fact ", environment is described as " dimension ", dimension is to use
The multiplicity environment required for analysis is true.For example, buyer, seller, commodity and time can be passed through when analyzing process of exchange
Etc. dimensions description hand over incident environment.
The column for the expression dimension that dimension is included, referred to as dimensional attribute.Dimensional attribute is inquiry constraint condition, grouping and report
The basic source that table label generates, is the key that data ease for use.Dimension table can be regarded as user to analyze the window of data,
Include recording characteristic true in fact table in dimension table；Some characteristics specify how to summarize fact table data, so as to
Useful information is provided for analyst, dimension table includes the hierarchical structure for helping to summarize the characteristic of data.For example, believing comprising product
If the dimension table of breath generally comprises the hierarchical structure that product is divided into the Ganlei such as food, beverage, non-consumption product, in these products
Every a kind of further repeatedly subdivision, until each product reaches lowest level.True table is the base table of dimensional model, each data
Warehouse all includes one or more fact table.
Aggregation Table data are stored in true table according to most detailed format, and various reports can make full use of these numbers
According to, for general query statement when inquiring true table, once-through operation frequently involves thousands of item records, but by using remittance
Always, averagely, the polymerization techniques such as extreme value can substantially reduce the inquiry quantity of data.Therefore, the bottom data in true table
It should be stored in middle table by polymerization in advance.Middle table stores aggregation information, so referred to as Aggregation Table, this processing
Process is referred to as polymerization process.Dimension management maps for realizing the data of dimension table；Cohesively managed manages Aggregation Table and passes through
OLAP (on-line analytical processing On-Line Analytical Processing) carries out the analysis summary of data to Aggregation Table.
OLAP emphasis is the analysis summary to data, such as our various reports for seeing daily, is summarized to the various of previous day data,
And it goes to analyze from multiple dimensions.The business characteristic of OLAP is that handling capacity is very high, and multiple big tables is needed to carry out polymerization behaviour
Make.Commonly optimizing operation for OLAP is mainly partitioning technique and concurrent technique.
Dimension table and Aggregation Table are loaded, the data model comprising dimension table and Aggregation Table is obtained, parses and manage the number
Dimensional model, Multidimensional Data Model and SQL model are obtained according to model；
Corresponding data model can be obtained by load dimension table and Aggregation Table, analysis management is carried out to data model
Data model can be divided into dimensional model, and (concept of dimensional model is in Construction of Data Warehouse from data warehouse field
A kind of Data Modeling Method.Dimensional model is mainly made of true table and dimension table the two fundamentals) multidimensional model is (more
D Data Model is to meet the base that user carries out the needs of data query and analysis at many levels from multi-angle and sets up
In true and dimension database model, the most typical data pattern of Multidimensional Data Model includes Star Schema, snowflake schema and thing
Real constellation pattern) sql model (being integrated with various sql sentences, facilitate query calls database data)
Request results are returned according to configuration data request is obtained.The request of the acquisition configuration data can be by MDX
(Multidimensional Expressions) is realized, is then parsed to MDX request, is verified and issue the request,
By to the data model of foundation carry out inquiry and polymerization be calculated request data as request results return.
The technical solution of data analysing method disclosed above solves after obtaining data source, carries out to the data of acquisition
Processing achievees the purpose that improve efficiency.
When Report Designer receives request data, establishing the second Multidimensional Data Model according to request data (can also be with
Other data models are established, multidimensional model example i.e. the second Multidimensional Data Model in attached drawing 1, to build according to different request datas
Found different Multidimensional Data Models).Report Designer further includes permission control module, is matched according to the user role setting acquisition
Setting the permissions of data, (permission may be provided at when requesting access to, i.e., limits access request according to different user roles；It can also set
Set when request results are returned and presented, i.e., request results shown according to different user role), such as line manager can request
The permission of the sales volume of 1 year interior door whole member of acquisition past, and department rank and file then only obtained in past 1 year certainly
The permission of own sales volume.
A kind of data analysis system, including server and client side's equipment, the server include
One or more first processors, first memory and one or more first application program, wherein described one
A or multiple first application programs are stored in the memory and are configured as by one or more of first processors
It executes, one or more of first application programs are configured as executing following method:
Receive the acquisition configuration data request that client device is sent；
According to the data obtained in configuration data request database；
Dimension management and cohesively managed are carried out to the data of database, are respectively formed dimension table and Aggregation Table；
Dimension table and Aggregation Table are loaded, the data model comprising dimension table and Aggregation Table is obtained, parses and manage the number
Dimensional model, Multidimensional Data Model and SQL model are obtained according to model；
Request results are returned to client device according to configuration data request is obtained.
The client device includes to provide the display of user interface, for showing the configuration number of request
According to；
One or more second processors；
Second memory；
One or more second application programs, wherein one or more of second application programs are stored in the storage
It in device and is configured as being executed by one or more of second processors, one or more of second application programs are configured
For Report Designer.
The Report Designer is used for the self-service analysis of report, report management, and report shares and report publication.
The Report Designer includes the chart module for being inserted into chart, for editing the bar chart editor of chart, is managed
It manages the style editor of report style and for triggering the insertion chart, edits the control of chart or control chart function, institute
Stating Report Designer further includes permission control module, and the permission for obtaining configuration data is arranged according to user role.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
The technical solution of data analysis system disclosed above solves after obtaining data source, carries out to the data of acquisition
Processing achievees the purpose that improve efficiency.
In several embodiments provided herein, it should be understood that disclosed system, device and method can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit
It divides, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components
It can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown or
The mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, the indirect coupling of device or unit
It closes or communicates to connect, can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can be stored in a computer readable storage medium, storage
Medium may include: read-only memory (ROM, Read Only Memory), random access memory (RAM, Random
Access Memory), disk or CD etc..
Those of ordinary skill in the art will appreciate that implement the method for the above embodiments be can be with
Relevant hardware is instructed to complete by program, the program can store in a kind of computer readable storage medium, on
Stating the storage medium mentioned can be read-only memory, disk or CD etc..
A kind of data analysing method provided by the present invention and system are described in detail above, for this field
Those skilled in the art, thought according to an embodiment of the present invention, there will be changes in the specific implementation manner and application range,
In conclusion the contents of this specification are not to be construed as limiting the invention.
Claims (10)
1. a kind of data analysing method characterized by comprising
It receives and obtains configuration data request；
According to the data obtained in configuration data request database；
Dimension management and cohesively managed are carried out to the data of database, are respectively formed dimension table and Aggregation Table；
Dimension table and Aggregation Table are loaded, the data model comprising dimension table and Aggregation Table is obtained, parses and manage the data mould
Type obtains dimensional model, Multidimensional Data Model and SQL model；
Request results are returned according to configuration data request is obtained.
2. data analysing method according to claim 1, which is characterized in that the reception obtains configuration data request to connect
The acquisition configuration report data request sent according to Report Designer is received, the Report Designer is used for the self-service analysis of report, report
Table management, report shares and report publication.
3. data analysing method according to claim 2, which is characterized in that the Report Designer is tied according to the request
Fruit establishes the second Multidimensional Data Model.
4. data analysing method according to claim 3, which is characterized in that the Report Designer includes for being inserted into figure
The chart module of table, for editing the bar chart editor of chart, the style editor of managerial report pattern and described for triggering
It is inserted into chart, edits the control of chart or control chart function.
5. data analysing method according to claim 4, which is characterized in that the Report Designer further includes permission control
The permission for obtaining configuration data is arranged according to user role in module.
6. data analysing method according to claim 5, which is characterized in that the acquisition configuration data request is matched to obtain
Set the request of report data.
7. a kind of data analysis system, which is characterized in that including server and client side's equipment, the server includes
One or more first processors, first memory and one or more first application program, wherein it is one or
Multiple first application programs are stored in the memory and are configured as being executed by one or more of first processors,
One or more of first application programs are configured as executing following method:
Receive the acquisition configuration data request that client device is sent；
According to the data obtained in configuration data request database；
Dimension management and cohesively managed are carried out to the data of database, are respectively formed dimension table and Aggregation Table；
Dimension table and Aggregation Table are loaded, the data model comprising dimension table and Aggregation Table is obtained, parses and manage the data mould
Type obtains dimensional model, Multidimensional Data Model and SQL model；
Request results are returned to client device according to configuration data request is obtained.
8. data analysis system according to claim 7, which is characterized in that the client device includes to provide user to hand over
The display at mutual interface, for showing the configuration data of request；
One or more second processors；
Second memory；
One or more second application programs, wherein one or more of second application programs are stored in the memory
And be configured as being executed by one or more of second processors, one or more of second application programs are configured as reporting
Table designer.
9. data analysis system according to claim 8, which is characterized in that the Report Designer is used for self-service point of report
Analysis, report management, report shares and report publication.
10. data analysis system according to claim 9, which is characterized in that the Report Designer includes for being inserted into
The chart module of chart, for editing the bar chart editor of chart, the style editor of managerial report pattern and for triggering
Insertion chart to be stated, the control of chart or control chart function is edited, the Report Designer further includes permission control module, according to
The permission for obtaining configuration data is arranged in user role.
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| CN112269792A (en) * | 2020-12-11 | 2021-01-26 | 腾讯科技（深圳）有限公司 | Data query method, device, equipment and computer readable storage medium |
| CN112436963A (en) * | 2020-11-12 | 2021-03-02 | 中国联合网络通信集团有限公司 | Data analysis method and device |
| CN112767058A (en) * | 2021-02-05 | 2021-05-07 | 深圳市爱云信息科技有限公司 | AIOT DaaS digital twin cloud platform |
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Application publication date: 20191025 |