CN105573892B - Business datum runs batch method and system - Google Patents
Business datum runs batch method and system Download PDFInfo
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- CN105573892B CN105573892B CN201510966813.0A CN201510966813A CN105573892B CN 105573892 B CN105573892 B CN 105573892B CN 201510966813 A CN201510966813 A CN 201510966813A CN 105573892 B CN105573892 B CN 105573892B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3065—Monitoring arrangements determined by the means or processing involved in reporting the monitored data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
- G06F11/324—Display of status information
- G06F11/327—Alarm or error message display
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Abstract
The present invention relates to a kind of data to run batch method and system, and this method includes data extraction process and extracts monitoring feedback procedure, and the monitoring feedback procedure that extracts includes：In the data extraction process, the daily trading volume in the Business Stream water meter of extraction is recorded；According to the daily trading volume and historical trading volume, judge whether the data extraction process exception occurs, if, then judge whether there is corresponding processing method in the abnormal conditions processing method storehouse pre-established according to data pick-up daily record, if, then the data extraction process is modified using the corresponding processing method, and the daily trading volume being recorded in the Business Stream water meter extracted again after amendment.Data provided by the invention are run in batch method, when going wrong, can carry out certain workload for automatically analyzing, greatly reducing operation maintenance personnel.Simultaneously as with certain autonomous problem-solving ability, therefore greatly accelerate data and run the progress and efficiency criticized.
Description
Technical field
The present invention relates to bank data processing technology field, more particularly to a kind of business datum to run batch method and system.
Background technology
The computer system of bank is all once run criticized daily, and so-called race batch is that all branches are also had working by bank
The Data Enter at place is handled, computing in total computer, then the thing that second day needs to do is released, such as
Printed card letter, promise bill etc..At present, as shown in figure 1, the data of bank, which run batch method, generally comprises three processes：Data are taken out
Take process, data mart modeling process and data display process.The data are run batch method and automatically analyzed because shortage is necessary, once go out
Existing problem, operation maintenance personnel need to pay largely work and pinpoint the problems and solve problem.
The content of the invention
The technical problems to be solved by the invention are：Existing data run batch method shortage and automatically analyze ability, once go out
Existing problem, operation maintenance personnel need to pay very big workload to solve problem.
In order to solve the above technical problems, the present invention, which proposes a kind of data, runs batch method and system.
In a first aspect, data declaration method provided by the invention includes data extraction process and extracts monitoring feedback procedure,
The monitoring feedback procedure that extracts includes：
In the data extraction process, the daily trading volume in the Business Stream water meter of extraction is recorded；
According to the daily trading volume and historical trading volume, judge whether the data extraction process exception occurs,
If so, then judge whether have in the abnormal conditions processing method storehouse pre-established correspondingly according to data pick-up daily record
Processing method,
If so, be then modified using the corresponding processing method to the data extraction process, and after being recorded in amendment
Again the daily trading volume in the Business Stream water meter extracted.
Optionally, the monitoring feedback procedure that extracts also includes：
When judging the processing method without corresponding in the abnormal conditions processing method storehouse, then the data pick-up is recorded
There is the abnormal date in process, and passes through internal gateway alert.
Optionally, this method also includes data mart modeling process and processing monitoring feedback procedure, and the processing monitoring was fed back
Journey includes：
Judge whether the trading volume process time during the data mart modeling exceeds corresponding preset range,
If, it is determined that there is exception in the data mart modeling process, and judges pre-establishing according to data mart modeling daily record
Abnormal conditions processing method storehouse in whether have corresponding processing method,
If so, then the data mart modeling process is modified using the corresponding processing method；
Wherein, the data mart modeling process is taken out again after judging that the data extraction process is corrected normally or in record
Performed after daily trading volume in the Business Stream water meter taken.
Optionally, the processing monitoring feedback procedure also includes：
When judging the processing method without corresponding in the abnormal conditions processing method storehouse, then the data mart modeling is recorded
The abnormal information that process occurs, and pass through internal gateway alert.
Optionally, the processing monitoring feedback procedure also includes：
When the trading volume process time during judging the data mart modeling is without departing from corresponding preset range, it is determined that
The data mart modeling process is normal, and when being recorded in the start-stop of the trading volume processed during the data mart modeling, process
Between, CPU load, use the EMS memory occupation ratio of computer and/or the disk load of used computer.
Optionally, this method also includes data display process and displaying monitoring feedback procedure, wherein the displaying monitoring is anti-
Feedback process includes：
Judge be using the trading volume that collects in the tables of data of different report styles displaying during the data display
It is no consistent, if it is not, then passing through internal gateway alert；
Wherein, the data display process is judging that the data mart modeling process is normal or adds performing revised data
Performed after work process.
Second aspect, data provided by the invention, which run batch system, to be included being used for the data pick-up mould for performing data extraction process
Block and the extraction monitoring feedback module for performing extraction monitoring feedback procedure, the monitoring feedback module that extracts specifically include：
Recording unit, for when the data extraction module is in data extraction process, recording the Business Stream water meter of extraction
In daily trading volume；
First judging unit, for according to the daily trading volume and historical trading volume, judging that the data extraction process is
It is no exception occur；
Second judging unit, for when judging the data extraction process exception, being judged according to data pick-up daily record
Whether there is corresponding processing method in the abnormal conditions processing method storehouse pre-established；
First amending unit, it is sharp for when having corresponding processing method in judging the abnormal conditions processing method storehouse
The data extraction process is modified with the corresponding processing method, and is recorded in the business flowing water extracted again after amendment
Daily trading volume in table.
Optionally, the monitoring feedback module that extracts also includes：
Alarm unit, for when judging the processing method without corresponding in the abnormal conditions processing method storehouse, then remembering
Record the data extraction process and the abnormal date occur, and pass through internal gateway alert.
Optionally, the system also includes the data mart modeling module for performing data mart modeling process and performs processing monitoring instead
The processing monitoring feedback module of feedback process, the processing monitoring feedback module specifically include：
3rd judging unit, for judging the trading volume process time during the data mart modeling whether beyond corresponding
Preset range；
4th judging unit, for when judging that the trading volume process time exceeds corresponding preset range, determining institute
State data mart modeling process and exception occur, and judged according to data mart modeling daily record in the abnormal conditions processing method storehouse pre-established
Whether corresponding processing method is had；
Second amending unit, during for having the corresponding processing method in the abnormal conditions processing method storehouse, utilize
The corresponding processing method is modified to the data mart modeling process；
Wherein, the data mart modeling module it is described extract monitoring feedback module judge the data extraction process it is normal or
The data mart modeling process is performed after the daily trading volume that person is recorded in the Business Stream water meter extracted again after amendment.
Optionally, the system also includes the data display module for performing data display process and supervised for performing displaying
The displaying monitoring feedback module of feedback procedure is controlled, wherein the displaying monitoring feedback module is specifically used for：
Judge be using the trading volume that collects in the tables of data of different report styles displaying during the data display
It is no consistent, if it is not, then passing through internal gateway alert；
Wherein, the data display module the processing monitoring feedback module judge the data mart modeling process it is normal or
The data mart modeling module performs the data display process after performing revised data mart modeling process.
Data provided by the invention are run in batch method and system, pass through the daily trading volume on the same day and the ratio of historical trading volume
It is right, judge whether the daily trading volume on the same day is abnormal.When occurring abnormal, using in the abnormal conditions processing method storehouse pre-established
Corresponding processing method amendment extraction process, and the daily trading volume in the Business Stream water meter extracted again after amendment is recorded, and then
Follow-up program is performed using the daily trading volume.It can be seen that data provided by the invention run batch method, can independently pinpoint the problems,
Certain workload for automatically processing, greatly reducing operation maintenance personnel can be carried out when pinpointing the problems.
Brief description of the drawings
By reference to accompanying drawing can be more clearly understood the present invention characteristic information and advantage, accompanying drawing be schematically without
It is interpreted as carrying out any restrictions to the present invention, in the accompanying drawings：
Fig. 1 shows that available data runs the schematic flow sheet of batch method；
Fig. 2 shows the schematic flow sheet that batch embodiment of method one is run according to data of the present invention；
Fig. 3 shows the schematic flow sheet that batch another embodiment of method is run according to data of the present invention；
Fig. 4 shows the structured flowchart that batch embodiment of system one is run according to data of the present invention.
Embodiment
It is below in conjunction with the accompanying drawings and specific real in order to be more clearly understood that the above objects, features and advantages of the present invention
Mode is applied the present invention is further described in detail.It should be noted that in the case where not conflicting, the implementation of the application
Feature in example and embodiment can be mutually combined.
Many details are elaborated in the following description to facilitate a thorough understanding of the present invention, still, the present invention may be used also
To be different from other modes described here using other to implement, therefore, protection scope of the present invention is not by described below
Specific embodiment limitation.
The present invention provides a kind of data and runs batch method, and as shown in Figure 2,3, this method includes data extraction process and extracted to supervise
Feedback procedure is controlled, the monitoring feedback procedure that extracts includes：
S1, in the data extraction process, record the daily trading volume in the Business Stream water meter of extraction；
S2, according to the daily trading volume and historical trading volume, judge whether the data extraction process exception occurs；
S3, when judging that the data extraction process occurs abnormal, judge pre-establishing according to data pick-up daily record
Whether abnormal conditions processing method has corresponding processing method in storehouse；
S4, when having corresponding processing method in judging the abnormal conditions processing method storehouse, utilize the corresponding processing
Method is modified to the data extraction process, and the Day Trading being recorded in the Business Stream water meter extracted again after amendment
Amount.
Performed once daily it should be known to those skilled in the art that the data of bank run batch list, therefore above-mentioned record
Daily trading volume be the same day daily trading volume.
So-called abnormal conditions processing method storehouse, it is to be established according to the abnormal conditions processing method of the daily accumulation of staff
Method base, different abnormal conditions use different processing methods, and the type of abnormal conditions is entered according to data pick-up daily record
What row judged.
Data provided by the invention are run in batch method, by the comparison of the daily trading volume and historical trading volume on the same day, are judged
Whether the daily trading volume on the same day is abnormal.When occurring abnormal, corresponding in the abnormal conditions processing method storehouse pre-established
Processing method amendment extraction process, and the daily trading volume in the Business Stream water meter extracted again after amendment is recorded, and then utilize and be somebody's turn to do
Daily trading volume performs follow-up program.It can be seen that data provided by the invention run batch method, when going wrong, one can be carried out
Fixed automatically analyzes, and greatly reduces the workload of operation maintenance personnel.Simultaneously as with certain autonomous energy solved the problems, such as
Power, therefore greatly accelerate data and run the progress and efficiency criticized.
In addition, data provided by the invention, which run batch method, also has the function of automatically configuring, such as one member of increase
During row, the daily trading volume of record increased certainly compared to before increasing member's row, can be sentenced by abnormality eliminating method
Break daily trading volume increase be due to increase member's row caused by, then can be with call configuration option table, to the phase of member's row
Related parameter is automatically configured.Therefore data provided by the invention are run batch method and increased in member's row system update, switching or business
The function of automatically configuring can be realized by adding or deleting etc..
In actual applications, be able to can also be used nearest using the daily trading volume of nearest one week as historical trading volume
The daily trading volume of one month is as historical trading volume.Assuming that the same day is all N, it can also use in a period of time recently weekly N's
Daily trading volume is as historical trading volume.Assuming that the same day is No. N, the monthly Day Trading of No. N in a period of time recently can also be used
Amount is used as historical trading volume., can also will be every year in the spy if the same day is technical dates, such as double 11, double 12, Spring Festival etc.
The daily trading volume on different date is as historical trading volume.
It is understandable to be, when judging whether data extraction process occurs abnormal, certain data model can be passed through
Analyzed according to the situation of change of historical trading volume, the change whether daily trading volume on the day of seeing meets historical trading volume becomes
Gesture, if the daily trading volume on the same day and the variation tendency of historical trading volume are inconsistent or have larger gap, assert data pick-up
Process occurs abnormal.
Certainly, the processing method in abnormal conditions processing method storehouse is limited, when the abnormal conditions of appearance are in this method
Without corresponding processing method in storehouse, i.e., beyond its autonomous disposal ability, can now occur with record data extraction process different
The normal date, and pass through internal gateway alert.Operation maintenance personnel is notified in this way, and operation maintenance personnel is according to reality
Situation terminates the data race batch flow of this time or ignores abnormal conditions and continues to run with.It can be seen that the invention provides certain report
Police's mechanism, once occurring can not independently solving the problems, such as timely operation maintenance personnel simultaneously, it is set to learn in time, so as to timely processing event
Barrier.
When the daily trading volume according to the same day and historical trading volume judge that data extraction process abnormal i.e. data does not occur and taken out
Take process normal, or after being recorded again after the data extraction process amendment to exception after daily trading volume, it is necessary to continue executing with
Continuous data mart modeling process.As shown in figure 3, in order to realize the monitoring to data process, data provided by the invention, which are run, to be criticized
Method can also include processing monitoring feedback procedure, and processing monitoring feedback procedure may particularly include：
Judge whether the trading volume process time during the data mart modeling exceeds corresponding preset range,
If, it is determined that there is exception in the data mart modeling process, and judges pre-establishing according to data mart modeling daily record
Abnormal conditions processing method storehouse in whether have corresponding processing method,
If so, being then modified using the corresponding processing method to the data mart modeling process, and perform revised
Data mart modeling process.
It should be known to those skilled in the art that data mart modeling process refers to the procedure script or number relevant to daily trading volume
The process stored according to storehouse, collected.Data mart modeling process does not have network traffics substantially, and (broadband of cluster situation 10,000,000,000 influences also may be used
To ignore).
Generally, substantially do not decay when in mechanical performances such as CPU disposal abilities, disk read-write abilities, trading volume
In the case of substantially fluctuating, the data mart modeling time should be fluctuated in a less preset range.If during data mart modeling
Between exceed preset range, then it is assumed that data mart modeling process occurs abnormal.For example, should perform process that 10min terminates this
Secondary execution 10s just terminates, or should perform this execution of process 10min that 10s terminates and just terminate, and is regarded as processing
Process occurs abnormal.For different abnormal conditions, handled using different processing methods.For example, for that should perform
The process that 10min terminates this time performs the abnormal conditions that 10s just terminates, it may be possible to which parameter transmits mistake or relevant configuration
Table mistake causes, and then determines the reason for specific according to data mart modeling daily record, and then handled.For another example for that should hold
The process that row 10s terminates this time performs the abnormal conditions that 10min just terminates, it may be possible to which lock table or machine, which occurs, expires
Carry, the reason for specific is then determined according to data mart modeling daily record, and then handled.
It can be seen that realizing further analyzing and processing ability by processing monitoring feedback procedure, O＆M is further reduced
The workload of personnel.
Judging the processing method corresponding to nothing in the abnormal conditions processing method storehouse, it is impossible at abnormal conditions
During reason, then the abnormal information that the data mart modeling process occurs is recorded, and by internal gateway alert, simultaneously in time
Operation maintenance personnel, it is set to learn in time, so as to timely processing failure.
Understandable to be, the trading volume process time during the data mart modeling is judged is default without departing from corresponding
During scope, then the data mart modeling process is normal.There is provided in order to which data are run with batch possible follow-up further optimization of method progress
With reference to it is big that the trading volume processed during the data mart modeling, the beginning and ending time of process, CPU load can be recorded in
The information such as the disk load of EMS memory occupation ratio that is small, using computer and/or used computer.
After the data mart modeling process that judgement data process is normal or execution is corrected, follow-up number can be performed
According to displaying process.As shown in figure 3, in order to realize the monitoring to data display process, data run batch method and may also include displaying prison
Feedback procedure is controlled, displaying monitoring feedback procedure may include：
Judge be using the trading volume that collects in the tables of data of different report styles displaying during the data display
It is no consistent, if it is not, then passing through internal gateway alert.
It should be known to those skilled in the art that so-called data display process refers to the data after processing with form sample
The process that the tables of data of formula (such as column diagram) is shown.The data of financial circles, feature is obvious, and statistical indicator can be completely poor
To enumerate and, same part data can be shown using different report styles, but for each statistical indicator, in each form sample
The trading volume that collects of the tables of data of formula (such as column diagram) is consistent, is otherwise exactly that there is a problem, it is necessary to send alarm signal
Breath, makes operation maintenance personnel learn mistake in time.
Based on identical inventive concept, the present invention also provides a kind of data and runs batch system, as shown in figure 4, the system 100 is wrapped
Include the data extraction module 101 for performing data extraction process and perform the extraction monitoring feedback mould for extracting monitoring feedback procedure
Block 102, the monitoring feedback module that extracts specifically include：
Recording unit, for when the data extraction module is in data extraction process, recording the Business Stream water meter of extraction
In daily trading volume；
First judging unit, for according to the daily trading volume and historical trading volume, judging that the data extraction process is
It is no exception occur；
Second judging unit, for when judging the data extraction process exception, being judged according to data pick-up daily record
Whether there is corresponding processing method in the abnormal conditions processing method storehouse pre-established；
First amending unit, it is sharp for when having corresponding processing method in judging the abnormal conditions processing method storehouse
The data extraction process is modified with the corresponding processing method, and is recorded in the business flowing water extracted again after amendment
Daily trading volume in table.
Optionally, the monitoring feedback module that extracts also includes：
Alarm unit, for when judging the processing method without corresponding in the abnormal conditions processing method storehouse, then remembering
Record the data extraction process and the abnormal date occur, and pass through internal gateway alert.
Optionally, as shown in figure 4, the system also includes being used for the He of data mart modeling module 103 for performing data mart modeling process
The processing monitoring feedback module 104 of processing monitoring feedback procedure is performed, the processing monitoring feedback module specifically includes：
3rd judging unit, for judging the trading volume process time during the data mart modeling whether beyond corresponding
Preset range；
4th judging unit, for when judging that the trading volume process time exceeds corresponding preset range, determining institute
State data mart modeling process and exception occur, and judged according to data mart modeling daily record in the abnormal conditions processing method storehouse pre-established
Whether corresponding processing method is had；
Second amending unit, during for having the corresponding processing method in the abnormal conditions processing method storehouse, utilize
The corresponding processing method is modified to the data mart modeling process；
Wherein, the data mart modeling module it is described extract monitoring feedback module judge the data extraction process it is normal or
The data mart modeling process is performed after the daily trading volume that person is recorded in the Business Stream water meter extracted again after amendment.
Optionally, as shown in figure 4, the system also includes being used for the He of data display module 105 for performing data display process
Show that the displaying of monitoring feedback procedure monitors feedback module 106 for performing, wherein the displaying monitoring feedback module is specifically used
In：
Judge be using the trading volume that collects in the tables of data of different report styles displaying during the data display
It is no consistent, if it is not, then passing through internal gateway alert；
Wherein, the data display module the processing monitoring feedback module judge the data mart modeling process it is normal or
The data mart modeling module performs the data display process after performing revised data mart modeling process.
It is that the function structure module of batch method is run with data provided by the invention that data provided by the invention, which run batch system, its
Explanation, explanation and beneficial effect about part refer to the appropriate section in data race batch method of the present invention, no longer superfluous here
State.
Although being described in conjunction with the accompanying embodiments of the present invention, those skilled in the art can not depart from this hair
Various modifications and variations are made in the case of bright spirit and scope, such modifications and variations are each fallen within by appended claims
Within limited range.
Claims (8)
1. a kind of data run batch method, it is characterised in that including data extraction process and extract monitoring feedback procedure, the extraction
Monitoring feedback procedure includes：
In the data extraction process, the daily trading volume in the Business Stream water meter of extraction is recorded；
According to the daily trading volume and historical trading volume, judge whether the data extraction process exception occurs,
If so, then judge whether there is corresponding place in the abnormal conditions processing method storehouse pre-established according to data pick-up daily record
Reason method,
If so, being then modified using the corresponding processing method to the data extraction process, and it is recorded in after amendment again
Daily trading volume in the Business Stream water meter of extraction, otherwise, record the data extraction process and the abnormal date occur, and by interior
Portion's gateway alert；
Wherein, the daily trading volume represents to perform the daily trading volume on the day of a data run batch list, the historical trading daily
Amount represents the daily trading volume in the historical time by setting principle determination.
2. according to the method for claim 1, it is characterised in that also fed back including data mart modeling process and processing monitoring
Journey, the processing monitoring feedback procedure include：
Judge whether the trading volume process time during the data mart modeling exceeds corresponding preset range,
If, it is determined that the data mart modeling process occurs abnormal, and is judged according to data mart modeling daily record different what is pre-established
Whether reason condition processing method has corresponding processing method in storehouse,
If so, then the data mart modeling process is modified using the corresponding processing method；
Wherein, the data mart modeling procedural representation procedure script relevant to the daily trading volume or database are stored, converged
Total process, and the data mart modeling process extracts again after judging that the data extraction process is corrected normally or in record
Business Stream water meter in daily trading volume after perform.
3. according to the method for claim 2, it is characterised in that the processing monitoring feedback procedure also includes：
When judging the processing method without corresponding in the abnormal conditions processing method storehouse, then the data mart modeling process is recorded
The abnormal information of appearance, and pass through internal gateway alert.
4. according to the method for claim 2, it is characterised in that the processing monitoring feedback procedure also includes：
When the trading volume process time during judging the data mart modeling is without departing from corresponding preset range, it is determined that described
Data mart modeling process is normal, and be recorded in the trading volume processed during the data mart modeling, process beginning and ending time,
The disk load of CPU load, the EMS memory occupation ratio for using computer and/or used computer.
5. according to any described methods of claim 2-4, it is characterised in that also anti-including data display process and displaying monitoring
Feedback process, wherein the displaying monitoring feedback procedure includes：
Judge during the data display using in the tables of data of different report styles displaying collect trading volume whether one
Cause, if it is not, then passing through internal gateway alert；
Wherein, the data display process is judging that the data mart modeling process is normal or is performing revised data mart modeling mistake
Performed after journey.
6. a kind of data run batch system, it is characterised in that including for performing the data extraction module of data extraction process and holding
Row extracts the extraction monitoring feedback module of monitoring feedback procedure, and the monitoring feedback module that extracts specifically includes：
Recording unit, for when the data extraction module is in data extraction process, in the Business Stream water meter for recording extraction
Daily trading volume；
First judging unit, for according to the daily trading volume and historical trading volume, judging whether the data extraction process goes out
It is now abnormal；
Second judging unit, for when judging the data extraction process exception, being judged according to data pick-up daily record advance
Whether there is corresponding processing method in the abnormal conditions processing method storehouse of foundation；
First amending unit, for when having corresponding processing method in judging the abnormal conditions processing method storehouse, utilizing this
Corresponding processing method is modified to the data extraction process, and is recorded in the Business Stream water meter extracted again after amendment
Daily trading volume；
Alarm unit, for when judging the processing method without corresponding in the abnormal conditions processing method storehouse, described in record
There is the abnormal date in data extraction process, and passes through internal gateway alert；
Wherein, the daily trading volume represents to perform the daily trading volume on the day of a data run batch list, the historical trading daily
Amount represents the daily trading volume in the historical time by setting principle determination.
7. system according to claim 6, it is characterised in that also include being used for the data mart modeling for performing data mart modeling process
Module and the processing monitoring feedback module for performing processing monitoring feedback procedure, the processing monitoring feedback module specifically include：
3rd judging unit, for judging whether the trading volume process time during the data mart modeling exceeds corresponding preset
Scope；
4th judging unit, for when judging that the trading volume process time exceeds corresponding preset range, determining the number
Occur according to process it is abnormal, and according to data mart modeling daily record judge in the abnormal conditions processing method storehouse pre-established whether
There is corresponding processing method；
Second amending unit, it is right using this during for having the corresponding processing method in the abnormal conditions processing method storehouse
The processing method answered is modified to the data mart modeling process；
Wherein, the data mart modeling procedural representation procedure script relevant to the daily trading volume or database are stored, converged
Total process, and the data mart modeling module it is described extract monitoring feedback module judge the data extraction process it is normal or
The data mart modeling process is performed after the daily trading volume being recorded in the Business Stream water meter extracted again after amendment.
8. system according to claim 7, it is characterised in that also include being used for the data display for performing data display process
Module and the displaying monitoring feedback module that monitoring feedback procedure is shown for performing, wherein the displaying monitoring feedback module is specific
For：
Judge during the data display using in the tables of data of different report styles displaying collect trading volume whether one
Cause, if it is not, then passing through internal gateway alert；
Wherein, the data display module judges that the data mart modeling process is normal or described in the processing monitoring feedback module
Data mart modeling module performs the data display process after performing revised data mart modeling process.
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| CN108694179A (en) * | 2017-04-06 | 2018-10-23 | 北京宸瑞科技股份有限公司 | Personage's view analysis system based on attribute extraction and method |
| CN109766370A (en) * | 2018-12-27 | 2019-05-17 | 口碑(上海)信息技术有限公司 | Data processing method, data service system and equipment |
| CN111078506A (en) * | 2019-12-27 | 2020-04-28 | 中国银行股份有限公司 | Business data batch running task monitoring method and device |
| CN112463541A (en) * | 2020-12-14 | 2021-03-09 | 上海金仕达软件科技有限公司 | Data monitoring method and system |
| CN112819349A (en) * | 2021-02-06 | 2021-05-18 | 建信金融科技有限责任公司 | Monitoring method, device, equipment and medium applied to data processing |
| CN114240109A (en) * | 2021-12-06 | 2022-03-25 | 中电金信软件有限公司 | Method, device and system for cross-region processing batch running task |
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