CN110046150A - A kind of human resources monitoring analysis method and system - Google Patents
A kind of human resources monitoring analysis method and system Download PDFInfo
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- CN110046150A CN110046150A CN201910139817.XA CN201910139817A CN110046150A CN 110046150 A CN110046150 A CN 110046150A CN 201910139817 A CN201910139817 A CN 201910139817A CN 110046150 A CN110046150 A CN 110046150A
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Abstract
Present invention discloses a kind of human resources monitoring analysis methods, comprising the following steps: source database data provide source data and inquired, saved for Hadoop cluster；After Hadoop cluster carries out cleaning classification to source data, subject data base is formed, and using HIVE cluster as off-line data warehouse；Classification data is subjected to statistical induction, statistical result database is arrived in storage.Present invention further teaches a kind of human resources monitoring analysis systems.Method and system provided by the present invention uses more extensive source database, bring the increased benefit of quantitative analysis specific gravity, it is more objective to analyze result, using Hadoop cluster, the concrete model of human resources can efficiently and accurately be established, using data mining technology, can the data effectively to each ministries and commissions utilized and excavated.
Description
Technical field
The present invention relates to human resources big data analysis technical fields, and in particular to a kind of human resources monitoring analysis method
And system.
Background technique
Existing human resources monitoring analysis system only covers the manpower information management in human resource management, this is
Human resource management it is basic.Wherein, part system increases the contents such as organization management again, but each system emphasizes particularly on different fields.
Compare in terms of system function: most of system is in the lower level of MIS management, only carries out the typing of data, stores, looks into
The management works such as inquiry and statistics, rarer system is related to decision support function, and the system of integrated data digging technology does not have then
There is one.As it can be seen that there are still the spaces improved and developed for human resources monitoring analysis system.
Human resources monitoring analysis management is a kind of very strong management of practicability, in addition to laws and regulations, institutional guarantee and political affairs
Except plan guidance, it is necessary to have a whole set of administrative skill and method.Up to the present, human resources monitoring analysis management application
Technology mainly have following four.1, statistical technique refers to and is carried out by calculating the statistical indicators such as probability, total value, mean value, variance
The comparative analysis of data.The technology is suitable for many aspects of human resource management, especially processing quantitative data.2, metering warp
Ji technology, is premised on economic theory, using mathematics, statistical technique founding mathematical models, to find between variable
Relationship.Typical case in human resources monitoring analysis management is to establish demand of human resources model.It can be according to enterprise
Yield X (or income) and staff number Y in one period establish regression model Y=a+bX, illustrate the change of the enterprise production
Change the influence degree to demand of human resources.When enterprise requirements increase yield, can be predicted with the model.3, skill is investigated
Art, investigation is exactly manager according to certain administrative purposes, by certain program, to human resources monitoring analysis management activity
Correlated phenomena carries out the investigation of system and science, provides the method for comprehensive material to recognize the regularity of management activity.Questionnaire tune
Look into be human resource managers pass through frequently with mode.This method is commonly used in job anlysis.It the advantage is that speed is fast, analysis
It is wide that sample size is big, content covers face.4, information systems technology refers to The HR department by using computerized information system
System carries out the management of data and the course of work.In addition to this, information system can management to human resources monitoring analysis and certainly
Plan provides support, and function includes data processing, issued transaction and decision support.Computer application is the human resource management modern times
The mark of change, is the important aid of mankind's mental labour, and the work that cannot be completed before helping people to complete.Above four kinds
Technology is applied in practice and achieves good effect, is human resources monitoring analysis management system currently on the market
The major technique that system uses.But they still cannot be fully solved the existing issue in human resource management field, and these are asked
Topic is the part of human resources monitoring analysis management system shortcoming currently on the market.
Firstly, since the characteristic of people, the content of human resources monitoring analysis information is mostly structural data (or qualitative number
According to), and quantitative data only accounts for very little specific gravity.Therefore, human resources monitoring analysis manager usually only carries out qualitative analysis.Such as people
Member's recruitment and performance appraisal part, human resources monitoring analysis manager only make " what is needed ", " which side is content include
Face ", " what conclusion is " explanation, do not propose reason.Even if analyzing reason, the also only description of language, without sufficient
Data are supported.This working method for biasing toward qualitative analysis and ignoring quantitative analysis tends to cause a deviation or even mistake,
Lack convictive evidence more sufficiently to prove oneself action and achievement.
Secondly as the shortage of quantitative analysis, be easy to cause subjective factor in manpower monitoring analysis resource management excessive, and
The size of weight is mainly according to the Subjective standard of manager.If the cognition of manager is comprehensively objective, evaluation result energy
Actual conditions are enough truly reflected, if manager is partial to certain aspect, evaluation result certainly will have certain deviation.In short,
The subjective factor reduced in human resource management is particularly significant, and be otherwise easily reduced manpower monitoring analysis Resource Management can
Letter degree.In addition, how efficiently and accurately to establish the tool of human resources in current manpower monitoring analysis resource management system
Body Model or a blank.This is mainly due to caused by the complexity of people itself, diversity and mutability.But one
Specific human resources monitoring analysis model not only can intuitively reflect human resource situation, can also therefrom find its other party
Method content inconspicuous.Therefore it says, manpower model has directive function to management work；
Furthermore data mining technology is not introduced.In recent years, data mining causes the big concern in information industry circle earth polar,
Main cause be can be widely used there are mass data, and there is an urgent need to convert the data into useful information and
Knowledge.The information and knowledge of acquisition can be widely applied to various applications, including business management, production control, market analysis, engineering
Design and Science Explorations etc..Data mining, English are Data Mining, Chinese and translations data mining.It is a kind of more generally accepted
Definition is exactly the process for the non-trivial for obtaining correct novelty from data, having potential using value and being finally appreciated that mode.
Summary of the invention
The purpose of the present invention is to provide a kind of human resources monitoring analysis method and system.
One of for achieving the above object, the present invention adopts the following technical scheme:
A kind of human resources monitoring analysis method, comprising the following steps:
Source database data provide source data and are inquired, saved for Hadoop cluster；
After Hadoop cluster carries out cleaning classification to source data, subject data base is formed, and using HIVE cluster as offline
Data warehouse；
Classification data is subjected to statistical induction, statistical result database is arrived in storage.
Technical solution as a further improvement of that present invention, by Spring batch process realize source data inquiry,
It saves, cleaning classification, and the statistical induction that data carry out after classification, storage.
Technical solution as a further improvement of that present invention, the access of all data are all that authorization accesses in a manner of SOA,
Cross-domain, unauthorized data access is not allowed, all access personnel pass through WEB united portal, stepped on by ca authentication
Record.
In order to achieve the above-mentioned another object of the invention, the present invention adopts the following technical scheme:
A kind of human resources monitoring analysis system, including source database are looked into providing source data for Hadoop cluster
It askes, save；
Hadoop cluster, after carrying out cleaning classification to source data, formed subject data base, and using HIVE cluster as from
Line data warehouse；
Statistical result database, to store the classification data after carrying out statistical induction.
Technical solution as a further improvement of that present invention, the source database, which includes that people society is not in the know, encloses database, labour
Contract database, qualified database, social security database, immigration employment data library, careers market database.
Technical solution as a further improvement of that present invention, the subject data base include personnel's subject data base, enterprise
Subject data base, industry subject data base, industry subject data base, small towns subject data base, employment subject data base, high-end people
Ability subject data base.
Compared with the existing technology, the technical effects of the invention are that:
Method and system provided by the present invention uses more extensive source database, brings the increasing of quantitative analysis specific gravity
The benefit added, analysis result is more objective, uses Hadoop cluster, can efficiently and accurately establish the specific mould of human resources
Type, use data mining technology, can the data effectively to each ministries and commissions utilized and excavated.
Detailed description of the invention
Fig. 1 is a kind of block diagram representation of human resources monitoring analysis system in embodiment of the present invention.
Specific embodiment
Below with reference to specific embodiment shown in the drawings, the present invention will be described in detail.But these embodiments are simultaneously
The present invention is not limited, structure that those skilled in the art are made according to these embodiments, method or functionally
Transformation is included within the scope of protection of the present invention.
One embodiment of the present invention presented below:
A kind of human resources monitoring analysis method, comprising the following steps:
Source database data provide source data and are inquired, saved for Hadoop cluster；
After Hadoop cluster carries out cleaning classification to source data, subject data base is formed, and using HIVE cluster as offline
Data warehouse；
Classification data is subjected to statistical induction, statistical result database is arrived in storage.
Hadoop cluster is a kind of Distributed Storage, it realizes parallel processing frame, can be when storing mass data
Guarantee that high reliability has flexibility, the data of any type can be stored, as metadata.Based on Hadoop collection
The metadata of group's management is easily formed subject data base.
Hive cluster is a data warehouse based on Hadoop cluster, the data file of structuring can be mapped as one
Table is opened, and class sql query function is provided, a subject data base is a concrete model.
Further, realize that the inquiry, preservation, cleaning of source data are classified by Spring batch process, and classification
The statistical induction that data carry out afterwards, storage.
Spring batch is a frame for handling mass data operation, is mainly used to read mass data, so
Output is at specified form after centainly being handled afterwards.
Hadoop cluster inquires data by Spring batch process from source database (such as oralce database),
Then hadoop format is saved into, cleaning classification is then carried out, classification data is finally subjected to statistical induction, storage to statistics knot
Fruit database.
System shows the data of page presentation report, is obtained from statistical result database.
System, which shows to generate on the page, pie chart, line chart, facilitates access.
Further, the access of all data is all that authorization accesses in a manner of SOA, does not allow cross-domain, unauthorized number
According to access, all access personnel pass through WEB united portal, are logged in by ca authentication.
Referring to Figure 1, a kind of human resources monitoring analysis system, including source database, to provide source data for Hadoop
Cluster is inquired, is saved；
Hadoop cluster, after carrying out cleaning classification to source data, formed subject data base, and using HIVE cluster as from
Line data warehouse；
Statistical result database, to store the classification data after carrying out statistical induction.
Further, the source database include people society it is not in the know enclose database, labour contract database, qualified database,
Social security database, immigration employment data library, careers market database.
Further, the subject data base includes personnel's subject data base, enterprise subject data library, industry subject data
Library, industry subject data base, small towns subject data base, employment subject data base, talent of high caliber's subject data base.
Compared with the existing technology, the technical effects of the invention are that:
Method and system provided by the present invention uses more extensive source database, brings the increasing of quantitative analysis specific gravity
The benefit added, analysis result is more objective, uses Hadoop cluster, can efficiently and accurately establish the specific mould of human resources
Type, use data mining technology, can the data effectively to each ministries and commissions utilized and excavated.
Finally, it should be noted that embodiment of above is merely illustrative of the technical solution of the present invention, rather than its limitations；To the greatest extent
Invention is explained in detail referring to aforementioned embodiments for pipe, those skilled in the art should understand that: its according to
It can so modify to technical solution documented by aforementioned each embodiment, or part of technical characteristic is equal
Replacement；And these are modified or replaceed, each embodiment technical solution of the present invention that it does not separate the essence of the corresponding technical solution
Spirit and scope.
Claims (6)
1. a kind of human resources monitoring analysis method, which comprises the following steps:
Source database data provide source data and are inquired, saved for Hadoop cluster；
After Hadoop cluster carries out cleaning classification to source data, subject data base is formed, and using HIVE cluster as off-line data
Warehouse；
Classification data is subjected to statistical induction, statistical result database is arrived in storage.
2. a kind of human resources monitoring analysis method according to claim 1, which is characterized in that pass through Spring batch
Process realizes the inquiry, preservation, cleaning classification of source data, and the statistical induction that data carry out after classification, storage.
3. a kind of human resources monitoring analysis method according to claim 1, which is characterized in that the access of all data is all
It is that authorization accesses in a manner of SOA, does not allow cross-domain, unauthorized data access, all access personnel is unified by WEB
Portal is logged in by ca authentication.
4. a kind of human resources monitoring analysis system, which is characterized in that including source database, to provide source data for Hadoop collection
Group is inquired, is saved；
Hadoop cluster forms subject data base, and using HIVE cluster as offline number after carrying out cleaning classification to source data
According to warehouse；
Statistical result database, to store the classification data after carrying out statistical induction.
5. a kind of human resources monitoring analysis system according to claim 4, which is characterized in that the source database includes
People society is not in the know to enclose database, labour contract database, qualified database, social security database, immigration employment data library, careers market
Database.
6. a kind of human resources monitoring analysis system according to claim 4, which is characterized in that the subject data base packet
Include personnel's subject data base, enterprise subject data library, industry subject data base, industry subject data base, small towns subject data base,
Employment subject data base, talent of high caliber's subject data base.
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| CN201910139817.XA CN110046150A (en) | 2019-02-26 | 2019-02-26 | A kind of human resources monitoring analysis method and system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110689469A (en) * | 2019-09-25 | 2020-01-14 | 苏州安软信息科技有限公司 | Gridding management platform |
| CN111274387A (en) * | 2020-01-09 | 2020-06-12 | 吉林工程技术师范学院 | Data processing method for human resource system |
-
2019
- 2019-02-26 CN CN201910139817.XA patent/CN110046150A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110689469A (en) * | 2019-09-25 | 2020-01-14 | 苏州安软信息科技有限公司 | Gridding management platform |
| CN111274387A (en) * | 2020-01-09 | 2020-06-12 | 吉林工程技术师范学院 | Data processing method for human resource system |
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