CN101079683A - Data consistency processing method - Google Patents
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- CN101079683A CN101079683A CN 200710049386 CN200710049386A CN101079683A CN 101079683 A CN101079683 A CN 101079683A CN 200710049386 CN200710049386 CN 200710049386 CN 200710049386 A CN200710049386 A CN 200710049386A CN 101079683 A CN101079683 A CN 101079683A
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Abstract
The invention discloses a processing method of data consistency, which comprises the following steps: testing the consistency of differential data according to the comparing result or differential list of net data; combining synchronous rule to generate synchronous data to transmit to the relative net; executing data adding/deleting/repairing request of synchronous rule consistency at net; eliminating the consistent net data according to the eliminated data difference. The invention can clean the rubbish data of net in time, which improves the resource utility.
Description
Technical field
The present invention relates to the process field of communication data and network data, particularly a kind of data consistency processing method.
Background technology
Along with communication, increasing of web service product, accept the variation of channel, network business platform complicated, usually need the common a certain business that realizes that cooperates of a plurality of network elements, some data of the network element that these cooperatively interact must be consistent, but, because network failure, the transfer of data fault, disturb, the operation flow of accident and enterprise product design and the reasons such as imperfection of management system, the inconsistent situation of data is on the rise in the network, the business that causes thus, charge and service problem, caused the customer complaint increase, customer satisfaction reduces, the business event losses of revenues.At present, also there are not the good technical means to solve the inconsistent detection of data, handle and relevant problem of management, normally operator finds just that by client's complaint the data between network element are inconsistent passively, initiate processing at last, keep the data consistent of business support net unit and Data-carrying net unit data between network element.
After finding the inconsistent situation of data, how automatically, in time the inconsistent situation of related network elements data in the network handled is final one of the key technologies that solve the network data consistency problem of improving.
Summary of the invention
The present invention can effectively guarantee accuracy, the consistency that customer data is provided with for a kind of inconsistent method that can automatically, in time handle related network elements data in the network that provides is provided by Synchronous Processing.
Technical scheme of the present invention is as follows:
Data consistency processing method, it is characterized in that: according to the comparison result or the difference tabulation of network element data, at first carry out the variance data validation verification, generate synchrodata in conjunction with synchronization rules again, be sent to related network elements, carry out the request of the data increase/deletion/modification consistent at last at network element, obtain consistent network element data to eliminate data difference with synchronization rules.
Described comparison result or difference tabulation are meant the record set that can reflect network element data consistency situation that generates by comparison, what the ordinary circumstance comparison result write down is the situation of all comparisons, the difference tabulation refers to the record set that can reflect the inconsistent situation of network element data by the comparison generation, the inconsistent network element data that ordinary circumstance difference tabulation is found during for comparison and in the positional information of network element, as find that the A customer data is inconsistent when comparing, then will compare both sides separately the A customer data and in difference list records of positional information generation of network element.
Described network element is meant the node that has data storage function in the network, comprises the network element and the network element that is used to realize professional service carrying network of the business supporting network that is used for service handling and management.
The comparison result of described network element data or difference tabulation detect by data consistency and obtain.
It is in a fiducial time section that described data consistency detects, at first from image data between the network element that requires to keep data consistent, data are carried out the data that preliminary treatment obtains the identical standard form, then pretreated data are compared, obtain the data difference between each network element, generate the process of difference tabulation.
Described preliminary treatment is that the initial data of gathering is handled, and with the process that is used to compare, preliminary treatment comprises an extremely multinomial operation in the operations such as parsing, filtration, verification, reparation, format conversion.
Described variance data validation verification is meant comparison result or the difference tabulation that data consistency detection process is generated, and carries out whether effective proof procedure still of difference in the Synchronous Processing time period.
Described validation verification adopts the checking of one-sided checking, bilateral or exempts a kind of in the proof rule and verify to multiple rule; One-sided checking refers to whether needs are carried out Synchronous Processing for data difference according to the tabulation of the network element data of side checking difference; The bilateral checking is meant whether needs are carried out Synchronous Processing to the data difference of tabulating according to the network element data checking difference of both sides; Exempt proof rule and be meant that the acquiescence variance data is effective, all need to carry out Synchronous Processing.
The principle that must follow when described synchronization rules is Synchronous Processing is that implication, the flow direction according to network element data and the inconsistent situation of these three aspects of business rule associated with the data are formulated.
Described business rule associated with the data is meant that whether the relevant service of these data is to user's charge, the regulations such as attribute that the user orders.
Beneficial effect of the present invention is as follows:
The present invention can fast and effeciently solve the problem of inconsistency of data, can effectively guarantee accuracy, the consistency that customer data is provided with by Synchronous Processing, statistical analysis, avoid bringing customer complaint or professional losses of revenues because of customer data inconsistent, and can in time remove the network element junk data, improve data efficient resource, network resource utilization.The present invention helps business fields such as communication, network service, bank, insurance, share certificate transaction, various fare payment system, network reconciliation system to improve the business support system performance, improves resource utilization, reduces cost of investment.
Description of drawings
Fig. 1 is a data synchronization processing flow chart of the present invention
Fig. 2 is the data synchronization processing flow chart that is applicable to moving communicating field of the present invention
Fig. 3 is the function framework schematic diagram of the data consistency comparison synchro system that the present invention was suitable for
Fig. 4 compares the flow chart of data processing figure of synchro system and method for the data consistency that the present invention was suitable for
Embodiment
Embodiment 1
As shown in Figure 1, data consistency processing method, comparison result or difference tabulation according to network element data, at first carry out the variance data validation verification, generate synchrodata in conjunction with synchronization rules again, be sent to related network elements, carry out the request of the data increase/deletion/modification consistent at last at network element, obtain consistent network element data to eliminate data difference with synchronization rules.
Described comparison result or difference tabulation are meant the record set that can reflect network element data consistency situation that generates by comparison, what the ordinary circumstance comparison result write down is the situation of all comparisons, the difference tabulation refers to the record set that can reflect the inconsistent situation of network element data by the comparison generation, the inconsistent network element data that ordinary circumstance difference tabulation is found during for comparison and in the positional information of network element, as find that the A customer data is inconsistent when comparing, then will compare both sides separately the A customer data and in difference list records of positional information generation of network element.
Described network element is meant the node that has data storage function in the network, comprises the network element and the network element that is used to realize professional service carrying network of the business supporting network that is used for service handling and management.
The comparison result of described network element data or difference tabulation detect by data consistency and obtain.
It is in a fiducial time section that described data consistency detects, at first from image data between the network element that requires to keep data consistent, data are carried out the data that preliminary treatment obtains the identical standard form, then pretreated data are compared, obtain the data difference between each network element, generate the process of difference tabulation.
Described preliminary treatment is that the initial data of gathering is handled, and with the process that is used to compare, preliminary treatment comprises an extremely multinomial operation in the operations such as parsing, filtration, verification, reparation, format conversion.
Described variance data validation verification is meant comparison result or the difference tabulation that data consistency detection process is generated, and carries out whether effective proof procedure still of difference in the Synchronous Processing time period.
Described variance data validation verification is meant comparison result or the difference tabulation that data consistency detection process is generated, and carries out whether effective proof procedure still of difference in the Synchronous Processing time period.
Described validation verification adopts the checking of one-sided checking, bilateral or exempts a kind of in the proof rule and verify to multiple rule; One-sided checking refers to whether needs are carried out Synchronous Processing for data difference according to the tabulation of the network element data of side checking difference; The bilateral checking is meant whether needs are carried out Synchronous Processing to the data difference of tabulating according to the network element data checking difference of both sides; Exempt proof rule and be meant that the acquiescence variance data is effective, all need to carry out Synchronous Processing.
The principle that must follow when described synchronization rules is Synchronous Processing is that implication, the flow direction according to network element data and the inconsistent situation of these three aspects of business rule associated with the data are formulated.
Described business rule associated with the data is meant that whether the relevant service of these data is to user's charge, the regulations such as attribute that the user orders.
Embodiment 2
As shown in Figure 2, data consistency processing method, when being applicable to moving communicating field, comparison result or difference tabulation according to network element data, at first carry out the variance data validation verification, generate synchrodata in conjunction with synchronization rules again, be sent to related network elements, carry out the request of the data increase/deletion/modification consistent at last at network element, obtain consistent network element data to eliminate data difference with synchronization rules.
Described comparison result or difference tabulation are meant the record set that can reflect network element data consistency situation that generates by comparison, what the ordinary circumstance comparison result write down is the situation of all comparisons, the difference tabulation refers to the record set that can reflect the inconsistent situation of network element data by the comparison generation, the inconsistent network element data that ordinary circumstance difference tabulation is found during for comparison and in the positional information of network element, as find that the A customer data is inconsistent when comparing, then will compare both sides separately the A customer data and in difference list records of positional information generation of network element.
Described network element is meant the node that has data storage function in the network, comprises the network element and the network element that is used to realize professional service carrying network of the business supporting network that is used for service handling and management.
The comparison result of described network element data or difference tabulation detect by data consistency and obtain.
It is in a fiducial time section that described data consistency detects, at first from image data between the network element that requires to keep data consistent, data are carried out the data that preliminary treatment obtains the identical standard form, then pretreated data are compared, obtain the data difference between each network element, generate the process of difference tabulation.
Described preliminary treatment is that the initial data of gathering is handled, and with the process that is used to compare, preliminary treatment comprises an extremely multinomial operation in the operations such as parsing, filtration, verification, reparation, format conversion.
Described variance data validation verification is meant comparison result or the difference tabulation that data consistency detection process is generated, and carries out whether effective proof procedure still of difference in the Synchronous Processing time period.
The rule of described Synchronous Processing variance data validation verification includes:
1, one-sided proof rule: comparing difference tabulation rise time and BOSS side user data state variation time, only check the variation of BOSS side data, variation has taken place if generate the back user's data in the difference tabulation, think that then this difference item is invalid, ignore this variance data item, continue to handle next variance data item, otherwise carry out Synchronous Processing.This rule both can guarantee the correctness of data sync, and the pressure that has reduced the network element side is arranged, and was applicable to that network element real-time interface performance is lower, carried out the scene of checking in batches;
2, bilateral proof rule: the network element from difference tabulation reading of data is again checked, if data are still inconsistent, thinks that then this difference is effective, refreshes the variance data item, carries out simultaneous operation; If data are consistent, think that then this difference is invalid, skip and continue to handle next variance data item.This rule guarantees that all differences data item all obtains correct processing, is applicable to that network element real-time interface performance is higher, carries out the scene of checking in batches;
3, exempt proof rule: acquiescence difference table data is in full force and effect, directly the data item of difference tabulation is carried out Synchronous Processing according to synchronization rules, and data consistency detects this application of rules, the scene of Synchronous Processing in carrying out one by one by the network element real-time interface.
The principle that must follow when described synchronization rules is Synchronous Processing is that implication, the flow direction according to network element data and the inconsistent situation of these three aspects of business rule associated with the data are formulated.
Described business rule associated with the data is meant that whether the relevant service of these data is to user's charge, the regulations such as attribute that the user orders.
In the process of carrying out the data consistency processing, also to do the work of statistical analysis.Statistical analysis is that the processing record of each link of data auditing management website is carried out the statistical indicator extraction of atom level, concentrated, classification, determines rational analysis of statistical data, represents dimension, generates data auditing and manages each link and overall operation situation analysis result.
The atom level index classification of statistical analysis:
1. data area: network element, business, number section, data qualification, data auditing batch, data auditing link etc.;
2. time interval: hour, day, month, season etc.
The index performance number of statistical analysis comprises:
1. data acquisition: number of users, data volume, last etc.;
2. data preliminary treatment: number of users, data volume, last, the normal data amount, abandon data volume etc.;
3. data comparison: number of users, data volume, last, data consistent data volume, difference table data amount etc.;
4. Synchronous Processing: number of users, data volume, last, skip data volume, synchronous successful data volume, synchronization failure data volume etc.
Function of statistic analysis the data auditing process finish or abnormal end after, initiate the extraction process of atom level statistical indicator automatically, be recorded as the data basis with the processing of each link of data auditing, generate the atom level statistical indicator of minimum particle size.
For supporting to export flexibly statistic analysis result, reasonably statistics granularity can be selected according to the real needs of statistical analysis by system, and corresponding atom level statistical index data is carried out polymerization, represents requirement according to index and forms final statistical table or chart.
System support the set form form generation, store, represent, support the customization output of self-defined multidimensional analysis form.
Embodiment 3
Data consistency processing method, when being applicable to moving communicating field, the principle that must follow when described synchronization rules is Synchronous Processing is that implication, the flow direction according to network element data and the inconsistent situation of these three aspects of business rule associated with the data are formulated.Be divided between BOSS and the business network element unidirectional according to the data flow between the network element, unidirectional between BOSS and the core network element, two-way between BOSS and the business network element, BOSS simultaneously and business network element, core network element unidirectional, BOSS and business network element two-way simultaneous BOSS are unidirectional with core network element again, and the synchronization rules between a plurality of in a word network elements resolves into a plurality of unidirectional or two-way processing as the case may be.
Embodiment 4
Shown in Fig. 3～4, the synchronous system of data consistency comparison that the present invention is suitable for comprises display layer, data storage processing layer and interface layer; Described display layer is used for man-machine data interaction, represents various Data Management Analysis results; Described data storage processing layer is used for the processing logic of various data, comprise data acquisition module, data preprocessing module, data comparing module, data simultaneous module and supplementary module, data acquisition module is used for image data, data preprocessing module is used for data are put in order, changed and resolve, the data comparing module is used for the data comparison, and data simultaneous module is carried out Synchronous Processing according to comparison result; Described system interface layer is used for the communication interaction of system and each network element.
Described display layer is to provide a personal-machine mutual portal interface to the operation/maintained/managed personnel that use native system, the personnel of various using systems can add up extraction, monitoring, alarm and corresponding various configuration setting operation by this door, and the various rules that relate to for the system handles function, parameter configuration can realize by this door simultaneously.
The supplementary module of described data storage processing layer is by checking in module, scheduler module, statistical module, analysis module, system management module and other modules one to a plurality of combinations/integrated forming.
Described system management module is used for the management to the various settings of system running environment, comprises setting and system's running log management of process scheduling, the automatic start-stop setting of process, data backup; Configuration management is used for the management maintenance to the configuration data of each functional module of system, and what comprise allocation list, configuration file increases, deletes, changes, looks into operation; User management is used for the management to all operations personnel's of using system job number, password, authority, the job number rights management mechanism of layering is adopted in user management, the job number of each level has identical authority, and the management of authority is carried out authority by the user of last layer time and given, changes and cancel; The alarm setting of system management module and processing are the unusual generation warning information that system monitoring is arrived, and behind the generation warning information, in time notify in the alarm monitoring interface display and by the mode of setting.
Described system management module also has the function of selecting the automatic/hand pattern, and when selecting automatic mode, system can finish the comparison synchronizing process of data consistency automatically, generates synchrodata and processing automatically according to the Synchronous Processing algorithm; Select manual mode, then can finish the comparison synchronizing process of data consistency step by step by manual intervention.
Alarm level and alarm mode can be set in described alarm monitoring interface, and the alarm mode includes note, Email, sound, light, page-images, text, forms mode etc.
Described system interface layer comprises the data acquisition interface that is used between each network element, is used for synchronous Data synchronization interface to each network element, and the data distribution interface.
The hardware configuration that described data consistency is compared synchronous plateform system comprises memory device, FC-SWITCH and database server, WEB server, backup server, database/application/interface server and switch.
Data consistency comparison method for synchronous, its concrete steps are as follows:
A, system communicate alternately by interface layer and network element, data acquisition module carries out data acquisition according to interface standard and parameter adaptation from network element, by the situation of data preprocessing module according to network element data, the network element data that collects is carried out preliminary treatment, carry out dissection process then and obtain useful data;
B, data comparing module are compared to the data that steps A obtains, and inconsistent data are recorded and are kept in the difference tabulation;
C, according to the described difference tabulation that obtains of step B, data simultaneous module is verified the validity of data difference in conjunction with the validity proof rule, to difference is that active data generates corresponding synchrodata in conjunction with synchronization rules, and the interface of synchrodata by correspondence is sent to related network elements, in related network elements, carry out corresponding increase/deletion/modification data manipulation then, make that data are consistent between network element.
Described network element is meant the node that has data storage function in the network, comprises the business support network element that is used for service handling and management and is used to realize professional service bearer network element.
Described data acquisition is a process of obtaining data from network element, and the data acquisition modes that employing full dose collection and incremental crawler combine is from the network element image data; Described full dose collection requires network element to derive the data that all requirements are consistent; Described incremental crawler is at the data that require to be consistent, and only gathers the data that last acquisition time changes in the current acquisition time.
Described employing full dose is gathered and the incremental crawler combination, be meant when the deal with data consistency problem, adopt the full dose collection to guarantee the comprehensive and accuracy of data acquisition, do not omit as far as possible in the fiducial time section and require to be consistent but actual inconsistent data between network element; Adopt incremental crawler to guarantee the promptness of data acquisition, so just the data that can avoid repeated acquisition to be consistent are wasted the resource and the time of system.
Described full dose collection and incremental crawler are realized the collection of the data that requirement is consistent by file mode or on-line mode.
Described on-line mode refers to set up network and connects, and collects the mode that requires the data that are consistent by Network Transmission; Described file mode refers to the data that require to be consistent are preserved with file mode, and the mode by document copying or file transfer collects the data that requirement is consistent again.
Described on-line mode comprises gathering to connect to be set up and transmission course, the collection connection is set up and is meant that initiating collection by system or network element asks extremely to set up the process of gathering connection, gather the difference that connects according to acquisition protocols, set up different connections, as ftp, http, tcp/ip or custom protocol etc.
Described preliminary treatment is when the network element data of collection can't be directly used in comparison, and network element data is handled, and with the process that is used to compare, preliminary treatment comprises zero extremely multinomial operation in the operations such as filtration, verification, reparation, format conversion.The filtration of described data is processes of data invalid or useless in the image data being investigated filtration; Described data check is the process of the data that collect being carried out accuracy and the rational judgement of logic; Described data reparation is to repair abnormal data according to the attribute of data itself and Data Source; Described format conversion is that network element data can be used for the process that data are compared from being converted to of form that can't be used for the data comparison.
The process of the corresponding relation of the described parsing data that to be the network element data that is consistent of the requirement that will collect be identified for comparing according to the data implication.
Described comparison is that the data after resolving are compared, and finds the also process of record data consistency situation then.
The described network element data that collects carries out preliminary treatment and parsing, carries out the data comparison then; Perhaps also can carry out gathering again after the preliminary treatment to network element data earlier, and then resolve, carry out the data comparison at last.
Described difference tabulation is meant the record set that can reflect network element data consistency situation that generates by comparison, the inconsistent network element data that ordinary circumstance difference tabulation is found during for comparison and in the positional information of network element, as find that the A customer data is inconsistent when comparing, then will compare both sides separately the A customer data and in difference list records of positional information generation of network element.
Described validation verification adopts the checking of one-sided checking, bilateral or exempts a kind of in the proof rule and verify to multiple rule; One-sided checking refers to whether needs are carried out Synchronous Processing for data difference according to the tabulation of the network element data of side checking difference; The bilateral checking is meant whether needs are carried out Synchronous Processing to the data difference of tabulating according to the network element data checking difference of both sides; Exempt proof rule and be meant that the acquiescence variance data is effective, directly do not carry out Synchronous Processing thereby do not carry out any checking.
Among the step C, described related network elements is meant the inconsistent network element of back data of comparing; Corresponding just be meant with synchronization rules corresponding to.
After finishing secondary data comparison and data sync, system generates statistical report automatically and shows, simultaneously according to the result, can also carry out alarming processing and notice, and generates the historical statistics report, carries out statistical query by statistical report.
After result after comparison is handled is saved in corresponding storehouse table, adopt comparison to check that the equilibrium relation of judgment data and daily record verify the integrality of entire comparison process and the accuracy of comparison; And when occur in data comparisons and the data synchronization process unusual the time, according to the processing policy that sets in advance handle remove unusual, and generation abnormality data table and daily record.
What the data balancing that described comparison is checked concerned totally is:
The data total amount of comparison inlet=comparison outlet pass through that data bulk+comparison exports do not pass through data bulk.
The designed english term table of comparisons of the present invention is as follows:
| Abbreviation | The English description | Chinese is described |
| BOSS | Business Operation Support System | Business operation support system |
| MISC | Mobile Information System center | Mobile Information System center |
| SCP | Service Control Point | Service control point |
| HLR | Home Location Register | Attaching position register |
| ftp | File Transfer Protocol | File transfer protocol (FTP) |
| http | Hypertext Transfer Protocol | HTML (Hypertext Markup Language) |
| tcp/ip | Transmission Control Protocol/Internet Protocol | Be used for one group of communications protocol of network, comprise IP and TCP |
Table 1
Claims (9)
1, data consistency processing method, it is characterized in that: according to the comparison result or the difference tabulation of network element data, at first carry out the variance data validation verification, generate synchrodata in conjunction with synchronization rules again, be sent to related network elements, carry out the request of the data increase/deletion/modification consistent at last at network element, obtain consistent network element data to eliminate data difference with synchronization rules.
2, data consistency processing method according to claim 1 is characterized in that: described comparison result or difference tabulation are meant the record set that can reflect network element data consistency situation that generates by comparison.
3, data consistency processing method according to claim 1 is characterized in that: described network element is meant the node that has data storage function in the network.
4, data consistency processing method according to claim 1 is characterized in that: the comparison result of described network element data or difference tabulation detect by data consistency and obtain.
5, data consistency processing method according to claim 4, it is characterized in that: it is in a fiducial time section that described data consistency detects, at first from image data between the network element that requires to keep data consistent, data are carried out the data that preliminary treatment obtains the identical standard form, then pretreated data are compared, obtain the data difference between each network element, generate the process of difference tabulation.
6, data consistency processing method according to claim 4 is characterized in that: described preliminary treatment is that the initial data of gathering is handled, with the process that is used to compare.
7, data consistency processing method according to claim 1, it is characterized in that: described variance data validation verification is meant comparison result or the difference tabulation that data consistency detection process is generated, and carries out whether effective proof procedure still of difference in the Synchronous Processing time period.
8, data consistency processing method according to claim 6 is characterized in that: described validation verification adopts the checking of one-sided checking, bilateral or exempts a kind of in the proof rule and verify to multiple rule; One-sided checking refers to whether needs are carried out Synchronous Processing for data difference according to the tabulation of the network element data of side checking difference; The bilateral checking is meant whether needs are carried out Synchronous Processing to the data difference of tabulating according to the network element data checking difference of both sides; Exempt proof rule and be meant that the acquiescence variance data is effective, all need to carry out Synchronous Processing.
9, data consistency processing method according to claim 1, it is characterized in that: the principle that must follow when described synchronization rules is Synchronous Processing is that implication, the flow direction according to network element data and the inconsistent situation of these three aspects of business rule associated with the data are formulated.
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|---|---|---|---|---|
| CN101459529B (en) * | 2007-12-11 | 2010-10-20 | 中国移动通信集团公司 | Method and device for obtaining user data from home location register |
| CN101557316B (en) * | 2009-05-14 | 2011-07-27 | 阿里巴巴集团控股有限公司 | Method and system for updating statistical data |
| CN101990208A (en) * | 2009-07-31 | 2011-03-23 | 中国移动通信集团公司 | Automatic data checking method, system and equipment |
| CN101990208B (en) * | 2009-07-31 | 2013-05-15 | 中国移动通信集团公司 | Automatic data checking method, system and equipment |
| CN103034701A (en) * | 2012-12-05 | 2013-04-10 | 曙光信息产业(北京)有限公司 | Metadata file format converting method |
| CN104750703B (en) * | 2013-12-26 | 2018-06-26 | 中国移动通信集团天津有限公司 | A kind of method and apparatus for improving data accuracy |
| CN104750703A (en) * | 2013-12-26 | 2015-07-01 | 中国移动通信集团天津有限公司 | Method and device for improving data accuracy |
| CN107077691A (en) * | 2014-07-14 | 2017-08-18 | 甲骨文国际公司 | The strategy based on the age for determining database cache hit |
| CN107077691B (en) * | 2014-07-14 | 2021-07-13 | 甲骨文国际公司 | Age-based policy for determining database cache hits |
| US11126615B2 (en) | 2014-07-14 | 2021-09-21 | Oracle International Corporation | Message personalization over multiple internet messaging campaigns |
| CN105760402A (en) * | 2014-12-16 | 2016-07-13 | 中兴通讯股份有限公司 | End-to-end service performance query method and end-to-end service performance query device |
| CN106454767A (en) * | 2015-08-05 | 2017-02-22 | 中兴通讯股份有限公司 | Business data synchronization method, device and system |
| CN107015991A (en) * | 2016-01-28 | 2017-08-04 | 阿里巴巴集团控股有限公司 | Self checking method, device, system and the service apparatus of data consistency |
| CN106161085A (en) * | 2016-06-20 | 2016-11-23 | 深圳前海微众银行股份有限公司 | The monitoring system and method for messaging bus |
| CN106161085B (en) * | 2016-06-20 | 2019-05-03 | 深圳前海微众银行股份有限公司 | The monitoring system and method for messaging bus |
| CN106131123A (en) * | 2016-06-21 | 2016-11-16 | 福建星网视易信息系统有限公司 | The remote resource synchronous method of three-tier architecture and system |
| CN106131123B (en) * | 2016-06-21 | 2019-03-29 | 福建星网视易信息系统有限公司 | The remote resource synchronous method and system of three-tier architecture |
| CN108681579A (en) * | 2018-05-10 | 2018-10-19 | 北京鼎泰智源科技有限公司 | A kind of big data missing rate analysis method |
| CN109254998A (en) * | 2018-09-04 | 2019-01-22 | 中国联合网络通信集团有限公司 | Data managing method, internet of things equipment, database server and system |
| CN109254998B (en) * | 2018-09-04 | 2021-06-15 | 中国联合网络通信集团有限公司 | Data management method, Internet of things equipment, database server and system |
| CN109471867A (en) * | 2018-11-13 | 2019-03-15 | 国网北京市电力公司 | The treating method and apparatus of electric vehicle business datum |
| CN109828979A (en) * | 2019-01-31 | 2019-05-31 | 浙江小泰科技有限公司 | A kind of data consistency detection and system |
| CN111324620A (en) * | 2020-02-18 | 2020-06-23 | 中国联合网络通信集团有限公司 | Data processing method, device and storage medium |
| WO2021168654A1 (en) * | 2020-02-25 | 2021-09-02 | 深圳市欢太科技有限公司 | Method and apparatus for detecting synchronized data, server, and data synchronization system |
| CN111526052A (en) * | 2020-04-17 | 2020-08-11 | 中移（杭州）信息技术有限公司 | Network element instruction management method, device, network equipment and storage medium |
| CN111526052B (en) * | 2020-04-17 | 2023-04-07 | 中移（杭州）信息技术有限公司 | Network element instruction management method, device, network equipment and storage medium |
| CN112783931A (en) * | 2020-07-21 | 2021-05-11 | 南方电网调峰调频发电有限公司信息通信分公司 | System and method for realizing data sharing service based on multi-view data directory |
| CN114003579A (en) * | 2020-07-28 | 2022-02-01 | 中国移动通信集团山东有限公司 | Method, device, equipment and storage medium for auditing data |
| CN117640748A (en) * | 2024-01-24 | 2024-03-01 | 金数信息科技(苏州)有限公司 | Cross-platform equipment information acquisition system |
| CN117640748B (en) * | 2024-01-24 | 2024-04-05 | 金数信息科技(苏州)有限公司 | Cross-platform equipment information acquisition system |
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