CN110245921A - The method that data service upstream and downstream link tracing function is realized based on metadata in big data improvement - Google Patents
The method that data service upstream and downstream link tracing function is realized based on metadata in big data improvement Download PDFInfo
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Abstract
The present invention relates to the methods for realizing data service upstream and downstream link tracing function based on metadata in a kind of improvement of big data, including acquisition enterprise's metadata；Data service imports；Carry out data service associated metadata；According to enterprise's metadata catalog；Carry out data service audit；It is called according to the information on services in data service metadata.Using the method for realizing data service upstream and downstream link tracing function based on metadata in big data improvement of the invention, service call mode is standardized, the whereabouts of data service is specified simultaneously, form the complete upstream and downstream link for data service, reduce enterprise to the management difficulty of data service, improve data service quality, in addition, atomization inquiry mode based on metadata, which data service can be affected with quick search metadata, assist the comprehensive management of the complete paired data service of enterprise, it provides strong support for the construction and O&M of enterprise information system, with good application value.
Description
Technical field
Field is administered the present invention relates to computer software fields more particularly to big data, in particular to a kind of big data is controlled
The method that data service upstream and downstream link tracing function is realized based on metadata in reason.
Background technique
With the fast development of big data technology, demand of the enterprise to data is continuously increased, the thought quilt that big data is administered
More and more enterprises are received, and enterprise's metadata are such as managed using metadata system, using Enterprise Service Bus or construction
Main data system realizes the control to data service.These means can help enterprise to understand data feelings to a certain extent
Condition, uniform data service export, and as IT application in enterprise paces are accelerated, the management difficulty of data service is got in enterprise
Come bigger, main reason is that relative closure is realized in the inside of data service, enterprise can not learn data service from management view
Upstream and downstream link, can not also determine the modification of a field in certain operation system influences whether which data service in enterprise.
Therefore, this just need to get through metadata, data service, data providing, data consumption side entire link, closed by metadata
Join data service, by workflow management data service, by Normalization rule data service, complete picture goes out the link of data service
Relationship assists the comprehensive management of the complete paired data service of enterprise to form the blood relationship figure of data service.
It is as follows that existing big data administers the relevant technologies:
A kind of data governing system based on metadata management (application number: 201710962403.8), provides one kind
Data governing system based on metadata management, including system management module, metadata acquisition module, metadatabase module.System
Management module of uniting includes user management, Role Management, rights management and dictionary management.Metadata acquisition module includes: configuration
Hitch point, disposition data source, metadata acquisition, acquisition tasks management and metadata store function.The submodule of metadatabase module
Block includes metadata retrieval, metadata maintenance, metadata browsing and metadata application.The user of the data governing system is led to
It crosses UI front-end interface and connects the metadatabase for being located at backstage with middle-end program, configuration needs feature is called from relational data
Interface extracts specified metadata type, realizes metadata acquisition, and metadata is analyzed and applied.
Pass through the above-mentioned data governing system technology based on metadata management, including system management module, metadata acquisition
Module, metadatabase module.The metadatabase for being located at backstage is connected with middle-end program by UI front-end interface, configuration needs are special
Sign, calling interface extracts specified metadata type from relational data, realizes metadata acquisition, and divide metadata
Analysis and application.The technology is only limitted to have made an inventory the metadata information of enterprise, but relative quiescent, enterprise can not therefrom learn these
Which data service is metadata be finally used in, can not also understand chain of the not homologous ray of enterprise when providing data service
Road relationship, therefore, it is impossible to which enterprise is assisted to carry out comprehensive management to data service.
Summary of the invention
The purpose of the present invention is overcoming the above-mentioned prior art, provide it is a kind of meet it is comprehensive, easy to operate,
The method that data service upstream and downstream link tracing function is realized based on metadata in the relatively broad big data improvement of the scope of application.
To achieve the goals above, data service upstream and downstream link is realized based on metadata in big data of the invention improvement
The method of tracing function is as follows:
The method that data service upstream and downstream link tracing function is realized based on metadata in big data improvement, it is main special
Point be, the method the following steps are included:
(1) enterprise's metadata is acquired, the data model of each system library is acquired, uniformly stores to metadata knowledge base and concentrate
Management；
(2) data service imports, and collects business data information on services, is saved into metadata system, as data
Service meta-model is managed；
(3) data service associated metadata is carried out；
(4) according to enterprise's metadata catalog, metadata is packaged into data service, fills in called side information, initiates data
Service request；
(5) data service audit is carried out；
(6) it is called according to the information on services in data service metadata.
Preferably, the step (1) specifically includes the following steps:
(1.1) the metadata acquisition device described in establishes hitch point；
(1.2) the metadata acquisition device described in creates data source；
(1.3) the metadata acquisition device acquisition tasks configuration described in；
(1.4) the metadata acquisition device described in acquires metadata by way of automatic or manual；
(1.5) the metadata acquisition device described in checks collection result and log.
Preferably, the step (3) specifically includes the following steps:
(3.1) corresponding metadata system is found according to the service provider in data service；
(3.2) corresponding metadata fields are closed with the metadata fields in system metadata library in parameter according to response
Connection.
Preferably, the step (5) specifically includes the following steps:
(5.1) judge whether demand for services is reasonable, if it is, continuing step (5.2)；Otherwise, application is rejected；
(5.2) according to demand in the corresponding data service of metadata lookup, judge whether it is existing, if it is, mentioning
For relevant data service metadata information, terminate process；Otherwise, notice operation system develops related service；
(5.3) continue acquisition service, with corresponding metadata association, new demand servicing is supplied to consumer.
Preferably, the data service information in the step (2) is obtained by interface or according to template manual entry.
Preferably, the data service meta-model in the step (2) is divided into information on services, operation information and parameter letter
Breath.
Preferably, the relationship of data service and metadata in the step (3) is N:N.
Data service upstream and downstream link tracing function is realized based on metadata using in big data improvement of the invention
Method depicts the source of data service due to being associated with by metadata with data service, by data service request, careful
The orderly management of core has standardized service call mode, while specifying the whereabouts of data service, therefore, forms for number
According to the complete upstream and downstream link of service, solve enterprise metadata " can only see, cannot use ", data service in big data improvement
Two hang-ups of " only using, difficult retrospect ", make data service in consumer's eye, are no longer black boxes, reduce enterprise's logarithm
According to the management difficulty of service, data service quality is improved, in addition, the atomization inquiry mode based on metadata, can check quickly fastly
It askes which data service is metadata affect, assists the comprehensive management of the complete paired data service of enterprise, be enterprise information system
Construction and O&M provide strong support, and have good application value.
Detailed description of the invention
Fig. 1 is the side for realizing data service upstream and downstream link tracing function during big data of the invention is administered based on metadata
The flow diagram of method.
Fig. 2 is the side for realizing data service upstream and downstream link tracing function during big data of the invention is administered based on metadata
The metadata of method and the relational graph of data service.
Fig. 3 is the side for realizing data service upstream and downstream link tracing function during big data of the invention is administered based on metadata
Data service in the embodiment of method manages platform feature architecture diagram.
Fig. 4 is the side for realizing data service upstream and downstream link tracing function during big data of the invention is administered based on metadata
Data service auditing flow schematic diagram in the embodiment of method.
Specific embodiment
It is further to carry out combined with specific embodiments below in order to more clearly describe technology contents of the invention
Description.
The method that data service upstream and downstream link tracing function is realized based on metadata in big data improvement of the invention,
Including following steps:
(1) enterprise's metadata is acquired, the data model of each system library is acquired, uniformly stores to metadata knowledge base and concentrate
Management；
(1.1) the metadata acquisition device described in establishes hitch point；
(1.2) the metadata acquisition device described in creates data source；
(1.3) the metadata acquisition device acquisition tasks configuration described in；
(1.4) the metadata acquisition device described in acquires metadata by way of automatic or manual；
(1.5) the metadata acquisition device described in checks collection result and log；
(2) data service imports, and collects business data information on services, is saved into metadata system, as data
Service meta-model is managed；
(3) data service associated metadata is carried out；
(3.1) corresponding metadata system is found according to the service provider in data service；
(3.2) corresponding metadata fields are closed with the metadata fields in system metadata library in parameter according to response
Connection；
(4) according to enterprise's metadata catalog, metadata is packaged into data service, fills in called side information, initiates data
Service request；
(5) data service audit is carried out；
(5.1) judge whether demand for services is reasonable, if it is, continuing step (5.2)；Otherwise, application is rejected；
(5.2) according to demand in the corresponding data service of metadata lookup, judge whether it is existing, if it is, mentioning
For relevant data service metadata information, terminate process；Otherwise, notice operation system develops related service；
(5.3) continue acquisition service, with corresponding metadata association, new demand servicing is supplied to consumer；
(6) it is called according to the information on services in data service metadata.
As the preferred embodiment of the present invention, data service information in the step (2) obtained by interface or
According to template manual entry.
As the preferred embodiment of the present invention, the data service meta-model in the step (2) be divided into information on services,
Operation information and parameter information.
As the preferred embodiment of the present invention, the relationship of data service and metadata in the step (3) is N:
N。
In a specific embodiment of the invention, the invention discloses one kind to realize number based on metadata in big data improvement
According to the method for service upstream and downstream link retrospect, data service information metadata is passed through enterprise using metadata thought by this method
Industry metadata acquisition, data service importing, data service associated metadata, data service application, data service audit, data clothes
Six steps are called in business, have been got through the upstream and downstream link of data service, data service have been become " whitepack " from black box state, separately
Outside, which data service the atomization inquiry mode based on metadata can affect with quick search metadata.Utilize this hair
It is bright, the full link of the data service in Enterprise Informatization system can be clearly described, the complete paired data service of enterprise is assisted
Comprehensive management provides strong support for the construction and O&M of enterprise information system, has good application value.
The present invention is proposed for disadvantage present in above-mentioned background technique by data service information metadata, and with
The metadata association of enterprise is imported, data service associated metadata, data service by enterprise's metadata acquisition, data service
Application, data service audit, data service use six steps, the upstream and downstream link of data service can be depicted, by data
Service becomes " whitepack " from black box state, in addition, the atomization inquiry mode based on metadata, it can be with quick search metadata
Which data service is affected, makes enterprise very clear to flowing to for data, assists the complete of the complete paired data service of enterprise
Facial canal reason.
The purpose of the present invention is to provide one kind to realize the retrospect of data service link based on metadata in big data improvement
Method, enterprise can be made to be apparent from the data flow of itself, by the association of data service and metadata, solved
Metadata " can only see, cannot use " in big data improvement, two hang-ups of data service " only using, difficult retrospect ", has got through number
According to the full link from source to application, thus realize effective improvement to business data assets, specific steps are as follows:
Step 1, metadata acquisition: metadata acquisition is basis of the invention, it is responsible for acquiring the data mould of each system library
Type, is unifiedly stored to metadata knowledge base and manages concentratedly, provides service for upper layer metadata application, can be with by this step
The data map of enterprise is formed, including horizontal and vertical two aspect, the data correlation laterally shown as between system and system close
System, longitudinally shows as operation system-database-table-field link relationship.The source of metadata can be roughly divided into following several
Class:
Modeling tool: Erwin, PowerDesigner, UML Rose etc.
ETL/OLAP tool: PowerCenter, DataStage, SQL Server Integration Services,
SQL Server Analysis Services, storing process, perl script etc.
BI/ report tool: Cognos, BI.Office, SQL Server Reporting Services etc.
Database: Oracle, DB2, Teradata, MS SQL Server etc.
Other sources: the customizations metadata such as XML, Excel, CSV, TXT, log file
Step 2, data service import: business data information on services collected, and is saved into metadata system, as
Data service meta-model is managed, and data service information can be obtained by interface, can also be led to according to template manual entry
The mode for crossing metadata acquisition collects, and data service meta-model can be divided into information on services, operation information, parameter information three
Part, wherein information on services including but not limited to:
(1) ID is serviced
(2) service provider (systematic name)
(3) service liability department
(4) service head
(5) service release number
(6) service describing
(7) service state
(8) service call address
(9) service type
(10) Chinese is serviced
(11) English name is serviced
(12) issue date
Operation information including but not limited to:
(1) ID is serviced
(2) ID is operated
(3) Chinese is operated
(4) operation coding
(5) operation description
(6) exception code explanation
(7) operation version number
(8) the online date
Parameter information including but not limited to:
(1) ID is serviced
(2) ID is operated
(3) parameter ID
(4) parameter name
(5) parameter declaration
(6) parameter type (required parameter response parameter)
(7) object type (String Integer Boolean Float)
(8) value range
(9) reference value
(10) whether must fill out and (only be provided when required parameter)
(11) associated metadata fields
Step 3, data service associated metadata: corresponding metadata is first found according to the service provider in data service
System is associated with further according to metadata fields corresponding in response parameter with the metadata fields in system metadata library, data
Service and the relationship of metadata are N:N, i.e. a data service can correspond to a plurality of metadata, and a metadata can also correspond to
A plurality of data service, metadata and data service relation schematic diagram are as shown in Figure 2.
Step 4, data service application: the purpose of this step is the use of authority data service, is managed collectively data service
Outlet, according to enterprise's metadata catalog, selection is needed which metadata being packaged into data service, be filled out the consumer of data service
Finish writing and initiate data service application after called side information, the information that when service request fills in including but not limited to:
(1) service consumer (systematic name)
(2) service consumer System Number
(3) business domains
(4) method of service provided
(5) apply for service name
(6) demand for services describes
(7) relevant collection of metadata is serviced
Step 5, data service audit: business data administers personnel according to the application information of [step 4], first determines whether the clothes
Whether business demand is reasonable, if unreasonable can reject application, if rationally, further according to the corresponding data of metadata lookup in demand
It whether existing services, and if it exists, relevant data service metadata information is then provided and then notifies operation system if it does not exist
Develop related service, further according to [step 2], [step 3] will service acquisition come up, then with corresponding metadata association, finally again
New demand servicing is supplied to consumer.Multiple audit links can be set according to enterprise's self-management mode in the step.
Step 6, data service are called: data service consumer is after the audit for receiving [step 5] is by result, according to number
It is called according to information such as service call address, required parameter, response parameters in service metadata, and this can be viewed
Data service response parameter specifically from which system, which table and which field, can clearly recognize data service
Source path substantially increase the service efficiency of data service convenient for better understanding the business meaning of data service.
Through above-mentioned six steps, it is associated with by metadata with data service, depicts the source of data service, pass through logarithm
According to service request, the orderly management of audit, service call mode has been standardized, while having specified the whereabouts of data service, therefore,
Complete data service upstream and downstream link is formd, solves enterprise's metadata " can only see, cannot use " in big data improvement,
Two hang-ups of data service " only using, difficult retrospect ", make data service in consumer's eye, are no longer black boxes, reduce
Enterprise improves data service quality to the management difficulty of data service, in addition, the atomization inquiry mode based on metadata,
Which data service can be affected with quick search metadata, and enterprise is assisted to complete data service management, differentiate data relationship, structure
The data control system for building benign closed loop, provides strong support for the construction and O&M of enterprise information system.
With reference to the accompanying drawing, technical solution of the present invention is specifically described:
The present invention provides a kind of methods for realizing the retrospect of data service link based on metadata in big data improvement, ask
It is specific implementation step of the invention with reference to attached drawing 1.Attached drawing is third is that data service used in the present embodiment manages platform feature
Framework:
Step 1, metadata acquisition: it in specific implementation, using each operation system as systemic hierarchial hitch point, and is built in lower layer
Corresponding database tier hitch point is found, configuration data source information carries out metadata acquisition, then, then acquires between each system
ETL process ultimately forms the blood relationship map of enterprise's metadata, the overall procedure of metadata acquisition in the present embodiment are as follows:
(1) hitch point is established
(2) data source is created
(3) acquisition tasks configure
(4) automatic/hand acquires metadata
(5) collection result and log are checked
Step 2, data service import: in specific implementation, the present embodiment is to collect number by the way of data service template
Data service information is imported into metadata system by metadata Excel collector according to information on services, is taken as data
Business meta-model is managed.Following table illustrates the data service template that certain enterprise imports in implementation process:
Information on services page:
Operation information page:
Parameter information page:
Step 3, data service associated metadata: can be keyword according to [service provider coding] in specific implementation
Section, inquires [metadata fields] in relevant data service [response parameter field] and metadatabase, and save
Into metadata data service mapping table, the following are the core SQL statements of record metadata and data service incidence relation:
INSERT INTO META_SERVICE_MAPPING M(METADATA,SERVICEFIELD)SELECT
T.METAID,P.RETURNOPTID FROM METADATA T LEFT JOIN DATASERVICE D ON
D.FROMSYSCODE=T.SYSCODE LEFT JOIN PARAMETER_SERVICE P ON P.SERVICEID=
D.SERVICEID WHERE T.METAFIELD=P.METAFIELD；
Wherein, META_SERVICE_MAPPING is mapping table
METADATA is metadata table
DATASERVICE is data service table
PARAMETER_SERVICE is parameter information table
Step 4, data service application: it in specific implementation, is chosen in metadata catalog by data consumer and needs conduct
The metadata fields of data service, and data service request slip is created, relevant information is filled in, the following are need to submit in the present embodiment
Field information
Collection of metadata (fieldlist)
| Title | Type | Explanation | Remarks |
| fieldId | String | Metadata id | |
| fileldName | String | Metadata title | Chinese name English name |
| sysName | String | Systematic name | |
| sysCode | String | System coding |
Step 5, data service audit: in specific implementation, platform recommends phase according to the metadata information in request slip automatically
Data service is closed, and administers personnel by data and verifies whether meet application demand, it, can if no data service or being unsatisfactory for demand
To submit application to corresponding service developers, increase data service newly, then data service is imported into platform, and complete with
The association of metadata, if existing related Data Services, is supplied directly to disappear finally, data service is supplied to consumer
Fei Zhe, corresponding service auditing flow is as shown in Figure 3 in the present embodiment.
Step 6, data service are called: in specific implementation, data service consumer passes through knot in the audit for receiving [step 5]
After fruit, corresponding data service information can be viewed, comprising: call address, service liability department, responsible person, required parameter,
Response parameter, exception code illustrate, and can view the metadata information of the data service, can clearly recognize number
According to the source path of service, convenient for better understanding the business meaning of data service, the use effect of data service is substantially increased
Rate.
Through above-mentioned six steps, it is associated with by metadata with data service, depicts the source of data service, pass through logarithm
According to the orderly management of service, service call mode has been standardized, while having specified the whereabouts of data service, therefore, has been formd
Whole data service upstream and downstream link solves enterprise metadata " can only see, cannot use ", data service in big data improvement
Two hang-ups of " only using, difficult retrospect ", make data service in consumer's eye, are no longer black boxes, reduce enterprise's logarithm
According to the management difficulty of service, data service quality is improved, in addition, the atomization inquiry mode based on metadata, it can be quick
Which data service is query metadata affect, and assists enterprise to complete data service management, differentiate data relationship, constructs benign close
The data of ring manage system, provide strong support for the construction and O&M of enterprise information system.
Data service upstream and downstream link tracing function is realized based on metadata using in big data improvement of the invention
Method depicts the source of data service due to being associated with by metadata with data service, by data service request, careful
The orderly management of core has standardized service call mode, while specifying the whereabouts of data service, therefore, forms for number
According to the complete upstream and downstream link of service, solve enterprise metadata " can only see, cannot use ", data service in big data improvement
Two hang-ups of " only using, difficult retrospect ", make data service in consumer's eye, are no longer black boxes, reduce enterprise's logarithm
According to the management difficulty of service, data service quality is improved, in addition, the atomization inquiry mode based on metadata, can check quickly fastly
It askes which data service is metadata affect, assists the comprehensive management of the complete paired data service of enterprise, be enterprise information system
Construction and O&M provide strong support, and have good application value.
In this description, the present invention is described with reference to its specific embodiment.But it is clear that can still make
Various modifications and alterations are without departing from the spirit and scope of the invention.Therefore, the description and the appended drawings should be considered as illustrative
And not restrictive.
Claims (7)
1. a kind of method for realizing data service upstream and downstream link tracing function based on metadata in big data improvement, feature exist
In, the method the following steps are included:
(1) enterprise's metadata is acquired, the data model of each system library is acquired, is uniformly stored to metadata knowledge base and concentrate tube
Reason；
(2) data service imports, and collects business data information on services, is saved into metadata system, as data service
Meta-model is managed；
(3) data service associated metadata is carried out；
(4) according to enterprise's metadata catalog, metadata is packaged into data service, fills in called side information, initiates data service
Application；
(5) data service audit is carried out；
(6) it is called according to the information on services in data service metadata.
2. big data according to claim 1 is based on metadata realization data service upstream and downstream link tracing function in administering
Method, which is characterized in that the step (1) specifically includes the following steps:
(1.1) the metadata acquisition device described in establishes hitch point；
(1.2) the metadata acquisition device described in creates data source；
(1.3) the metadata acquisition device acquisition tasks configuration described in；
(1.4) the metadata acquisition device described in acquires metadata by way of automatic or manual；
(1.5) the metadata acquisition device described in checks collection result and log.
3. big data according to claim 1 is based on metadata realization data service upstream and downstream link tracing function in administering
Method, which is characterized in that the step (3) specifically includes the following steps:
(3.1) corresponding metadata system is found according to the service provider in data service；
(3.2) corresponding metadata fields are associated with the metadata fields in system metadata library in parameter according to response.
4. big data according to claim 1 is based on metadata realization data service upstream and downstream link tracing function in administering
Method, which is characterized in that the step (5) specifically includes the following steps:
(5.1) judge whether demand for services is reasonable, if it is, continuing step (5.2)；Otherwise, application is rejected；
(5.2) according to demand in the corresponding data service of metadata lookup, judge whether it is existing, if it is, provide phase
The data service metadata information of pass terminates process；Otherwise, notice operation system develops related service；
(5.3) continue acquisition service, with corresponding metadata association, new demand servicing is supplied to consumer.
5. big data according to claim 1 is based on metadata realization data service upstream and downstream link tracing function in administering
Method, which is characterized in that data service information in the step (2) is obtained by interface or is manually recorded according to template
Enter.
6. big data according to claim 1 is based on metadata realization data service upstream and downstream link tracing function in administering
Method, which is characterized in that the data service meta-model in the step (2) is divided into information on services, operation information and parameter
Information.
7. big data according to claim 1 is based on metadata realization data service upstream and downstream link tracing function in administering
Method, which is characterized in that the relationship of data service and metadata in the step (3) be N:N.
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| CN110750695A (en) * | 2019-09-23 | 2020-02-04 | 厦门信息集团大数据运营有限公司 | Credit data processing method and computer readable storage medium |
| CN110764738A (en) * | 2019-10-21 | 2020-02-07 | 普元信息技术股份有限公司 | System and method for realizing full link tracking processing in development process based on metadata technology in DevOps |
| CN111611458A (en) * | 2020-06-09 | 2020-09-01 | 普元信息技术股份有限公司 | Method for realizing system data architecture combing based on metadata and data analysis technology in big data management |
| CN112347124A (en) * | 2020-11-12 | 2021-02-09 | 浙江百应科技有限公司 | Metadata management platform and metadata management method |
| CN114143177A (en) * | 2021-12-01 | 2022-03-04 | 云赛智联股份有限公司 | Business service monitoring system and monitoring method based on data blood margin |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050060315A1 (en) * | 2003-09-16 | 2005-03-17 | Aleksey Sanin | Metadata database lookup system |
| CN1836231A (en) * | 2003-07-22 | 2006-09-20 | Sap股份公司 | Extending service-oriented business frameworks |
| CN101794419A (en) * | 2010-04-13 | 2010-08-04 | 中兴通讯股份有限公司 | Method and device for automatically implementing business flow |
| CN105046414A (en) * | 2015-06-29 | 2015-11-11 | 用友优普信息技术有限公司 | Business tracing method and business tracing device applied to ERP systems |
| US20160173329A1 (en) * | 2014-12-12 | 2016-06-16 | Oracle International Corporation | Methods, systems, and computer readable media for configuring a flow interface on a network routing element |
| CN106790763A (en) * | 2017-01-18 | 2017-05-31 | 北京鑫通运科信息技术有限公司 | A kind of Internet of Things unifies the implementation and system of trace platform |
| CN107657052A (en) * | 2017-10-17 | 2018-02-02 | 上海计算机软件技术开发中心 | A kind of data governing system based on metadata management |
-
2019
- 2019-06-20 CN CN201910536085.8A patent/CN110245921A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1836231A (en) * | 2003-07-22 | 2006-09-20 | Sap股份公司 | Extending service-oriented business frameworks |
| US20050060315A1 (en) * | 2003-09-16 | 2005-03-17 | Aleksey Sanin | Metadata database lookup system |
| CN101794419A (en) * | 2010-04-13 | 2010-08-04 | 中兴通讯股份有限公司 | Method and device for automatically implementing business flow |
| US20160173329A1 (en) * | 2014-12-12 | 2016-06-16 | Oracle International Corporation | Methods, systems, and computer readable media for configuring a flow interface on a network routing element |
| CN105046414A (en) * | 2015-06-29 | 2015-11-11 | 用友优普信息技术有限公司 | Business tracing method and business tracing device applied to ERP systems |
| CN106790763A (en) * | 2017-01-18 | 2017-05-31 | 北京鑫通运科信息技术有限公司 | A kind of Internet of Things unifies the implementation and system of trace platform |
| CN107657052A (en) * | 2017-10-17 | 2018-02-02 | 上海计算机软件技术开发中心 | A kind of data governing system based on metadata management |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110750695A (en) * | 2019-09-23 | 2020-02-04 | 厦门信息集团大数据运营有限公司 | Credit data processing method and computer readable storage medium |
| CN110764738A (en) * | 2019-10-21 | 2020-02-07 | 普元信息技术股份有限公司 | System and method for realizing full link tracking processing in development process based on metadata technology in DevOps |
| CN110764738B (en) * | 2019-10-21 | 2024-02-23 | 普元信息技术股份有限公司 | System and method for realizing full-link tracking processing in development process based on metadata technology in DevOps |
| CN111611458A (en) * | 2020-06-09 | 2020-09-01 | 普元信息技术股份有限公司 | Method for realizing system data architecture combing based on metadata and data analysis technology in big data management |
| CN111611458B (en) * | 2020-06-09 | 2024-02-02 | 普元信息技术股份有限公司 | Method for realizing system data architecture carding based on metadata and data analysis technology in big data processing |
| CN112347124A (en) * | 2020-11-12 | 2021-02-09 | 浙江百应科技有限公司 | Metadata management platform and metadata management method |
| CN114143177A (en) * | 2021-12-01 | 2022-03-04 | 云赛智联股份有限公司 | Business service monitoring system and monitoring method based on data blood margin |
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