CN206193922U - Data management platform system - Google Patents

Data management platform system Download PDF

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Publication number
CN206193922U
CN206193922U CN201621181271.2U CN201621181271U CN206193922U CN 206193922 U CN206193922 U CN 206193922U CN 201621181271 U CN201621181271 U CN 201621181271U CN 206193922 U CN206193922 U CN 206193922U
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China
Prior art keywords
data
metadata
server
module
database server
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Active
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CN201621181271.2U
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Chinese (zh)
Inventor
刘召龙
刘婷婷
邢丽丽
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SHANGHAI BANKS CO Ltd
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SHANGHAI BANKS CO Ltd
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Priority to CN201621181271.2U priority Critical patent/CN206193922U/en
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Abstract

The utility model provides a data management platform system, includes metadata database server, data quality monitoring server, management server, automatic query machine, the automatic query machine is connected with metadata database server, a single -chip microcomputer, the management server is connected with metadata database server, data quality monitoring server respectively through the control port, metadata database server includes that data storage module, data standard module, first data mapping concern the module, data storage module respectively with data standard module, first data mapping concern that the module is connected. Through the utility model discloses data management platform system establishs and gathers metadata and first data mapping relation, ensures data source system and data definition's traceability, promote the data interaction ability and the data integration ability of interdepartmental interconnected system, the metadata of ensureing the production environment obtains effectual management and maintenance.

Description

Data management platform system
Technical field
The utility model is related to data management field, more particularly to a kind of data management platform system.
Background technology
Data management system complicated, the unified standard of many data deficiencies more of present many banks, Statistical Criteria is not Specification, index implication owe apparent, Data Collection and treatment effeciency it is low, not the data of homologous system it is inconsistent each other, lead Cause the difficulty of intersystem interface exploitation, information exchange very big.
On the other hand, existing many data management system loss of learnings are relatively conventional, data quality problem generally existing.
Utility model content
The purpose of this utility model is to solve the deficiencies in the prior art, there is provided a kind of data management platform system, is used In the data of management bank.
The purpose of this utility model is achieved through the following technical solutions:
A kind of data management platform system, including:Metadata database server, data quality monitoring server, management Server, Automatic Analyzer, the Automatic Analyzer are connected with metadata database server, in the metadata database Be provided with monitoring port in server, data quality monitoring server, management server, the metadata database server and Data quality monitoring server is connected by monitoring port, the management server by monitoring port respectively with metadata number It is connected according to storehouse server, data quality monitoring server;
The metadata database server includes data memory module, data standard module, metadata mapping relations mould Block, the data memory module is connected with the data standard module, metadata mapping relations module respectively.
The data standard module is used to set the essential information of metadata, the metadata database server and multiple Data source systems are connected, and the data that real-time reception data source systems are produced simultaneously are translated into the storage of multiple metadata and are deposited in data In storage module;Metadata mapping relations module is connected for storing the mapping relations between metadata.
Above-mentioned data management platform system, wherein, the Automatic Analyzer includes display screen, code keypad, impression block Block, enquiry module and download module.
Above-mentioned data management platform system, wherein, the Automatic Analyzer inquires about all-in-one to touch.
Above-mentioned data management platform system, wherein, the metadata database server is connected with multiple web servers Connect.
In sum, the utility model has the advantage that:
Using data management platform system of the present utility model, can not only facilitate the storage and inquiry of data, can be with The convenient management to data, if loss of data can conveniently search the data of loss and remedy in time, reduces loss.
Staff can easily search various data according to the mapping relations between metadata;User can inquire about automatically The business information of correlation is inquired about on machine, because the mapping relations of the metadata in metadata database server and metadata can be real Shi Gengxin, user can obtain newest data message in Automatic Analyzer.The mapping relations of metadata and metadata hand over information Mutually become easier to, enhance Consumer's Experience, improve the operating efficiency of staff.
The quality of data is monitored by data quality monitoring server, it is ensured that data quality problem timely can be obtained To solution.
The metadata in metadata database server is managed by management server, not only can further be protected The card quality of data, it is ensured that the authority and reliability of follow-up use the utility model system.
Brief description of the drawings
Fig. 1 is the structured flowchart of the utility model data management platform system.
Specific embodiment
Specific embodiment of the present utility model is described in detail below in conjunction with the accompanying drawings.
Refer to Fig. 1, a kind of data management platform system of the utility model, including:Metadata database server, data Quality monitoring server, management server, Automatic Analyzer, the Automatic Analyzer are connected with metadata database server Connect, be provided with monitoring port in the metadata database server, data quality monitoring server, management server, institute State metadata database server to be connected by monitoring port with data quality monitoring server, the management server passes through Monitoring port is connected with metadata database server, data quality monitoring server respectively.
Metadata database server includes data memory module, data standard module, metadata mapping relations module, number It is connected with the data standard module, metadata mapping relations module respectively according to memory module.
Metadata database server is connected with multiple data source systems, the data that real-time reception data source systems are produced.
Data quality monitoring server is used for true monitoring metadata database server data quality, and timing produces data Quality report, the data quality problem to occurring is remedied, and data quality problem includes but is not limited to the loss of data, data Wrong, uncorrelated data increase, the reason for there is data quality problem.
Data quality monitoring server sends the quality of data report of generation to management server, and management server is carried out Relevant treatment, solves the quality problems of data and carries out dependent failure treatment.
Data standard module is used to setting the essential information of metadata, data standard module definition multiple metadata it is basic Information, the definition according to different metadata of the data that data memory module will be received, is converted into multiple metadata and is deposited Storage.By defining the essential information of metadata, can not only facilitate the storage and inquiry of data, the pipe to data can also be facilitated Reason, if loss of data can conveniently search the data of loss and remedy in time, reduces loss.
Metadata mapping relations module is connected for storing the mapping relations between metadata, and staff can be according to unit Mapping relations between data easily search various data.User can inquire about the business information of correlation on Automatic Analyzer, Due to the mapping relations meeting real-time update of the metadata in metadata database server and metadata, user can inquire about automatically Machine obtains newest data message.The mapping relations of metadata and metadata become easier to information exchange, enhance user Experience, improves the operating efficiency of staff.
Management server is connected with metadata database server, the first number for managing metadata database server According to.Management server can to the essential information of the metadata of metadata database server, be relied on relation, dependence, group Conjunction relation etc. is inquired about, changed and deleted.Management server provides the life cycle management of metadata, develops and publishes, deletes With the flow of Status Change, the quality of metadata is all ensured that, it is ensured that follow-up using the authoritative of the utility model system and can By property.
User can voluntarily subscribe to the metadata of concern, and after these metadata are changed, system will be specified with user Form notify generation that user changes, user further can in systems inquire the particular content of the change according to guide And the impact analysis of correlation.Change is not certain cycle for notifying user, but system to set in the very first time, is checked The alteration of metadata in this cycle, as having altered, notifies user.
Management server additionally provides metadata maintenance, metadata query, metadata is derived, metadata version is managed, unit The correlation function of data change management etc., and there is provided data conversion, Data Collection, data verification, data acquisition storage etc. Function.Management server can carry out the correlation degree of parentage analysis between metadata, impact analysis, table according to metadata information Analysis etc., can quickly recognize the value of metadata, for the compliance of business data provides checking means;By between metadata Mapping relations formed data map, data map combine the metadata database server, the Automatic Analyzer grand Sight aspect, merging, the potential value of effective mining data information are carried out to data message with user perspective.
In sum, by the utility model data management platform system, set up collection metadata and metadata mapping is closed System, it is ensured that the trackability of data source systems and data definition;Lift the data exchange capability and Data Integration energy of cross-system Power;Ensure that the metadata of production environment is effectively managed and safeguarded.
The utility model data management platform system is applied in the data management of bank, is set up by management server Number target demand is quoted, number mark map metadata landing management so that whole management process closed loop is controllable.
Embodiment described above is merely to illustrate technological thought of the present utility model and feature, its object is to make ability Technical staff in domain will appreciate that content of the present utility model and implement according to this, it is impossible to only limit this practicality with the present embodiment New the scope of the claims, i.e., equal change or modification that all spirit according to disclosed in the utility model is made, still falls in this practicality In new the scope of the claims.

Claims (4)

1. a kind of data management platform system, it is characterised in that including:Metadata database server, data quality monitoring clothes Business device, management server, Automatic Analyzer, the Automatic Analyzer is connected with metadata database server, in the unit Monitoring port, the metadata data are provided with data database server, data quality monitoring server, management server Storehouse server is connected with data quality monitoring server by monitoring port, and the management server is distinguished by monitoring port It is connected with metadata database server, data quality monitoring server;
The metadata database server includes data memory module, data standard module, metadata mapping relations module, institute Data memory module is stated to be connected with the data standard module, metadata mapping relations module respectively;
The metadata database server is connected with multiple data source systems.
2. data management platform system according to claim 1, it is characterised in that the Automatic Analyzer includes display Screen, code keypad, print module, enquiry module and download module.
3. data management platform system according to claim 2, it is characterised in that the Automatic Analyzer is inquired about to touch All-in-one.
4. data management platform system according to claim 1, it is characterised in that the metadata database server with Multiple web servers are connected.
CN201621181271.2U 2016-10-27 2016-10-27 Data management platform system Active CN206193922U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201621181271.2U CN206193922U (en) 2016-10-27 2016-10-27 Data management platform system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201621181271.2U CN206193922U (en) 2016-10-27 2016-10-27 Data management platform system

Publications (1)

Publication Number Publication Date
CN206193922U true CN206193922U (en) 2017-05-24

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CN201621181271.2U Active CN206193922U (en) 2016-10-27 2016-10-27 Data management platform system

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112905329A (en) * 2021-03-24 2021-06-04 武汉众邦银行股份有限公司 Full life cycle management and control method for improving standard falling rate of data

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112905329A (en) * 2021-03-24 2021-06-04 武汉众邦银行股份有限公司 Full life cycle management and control method for improving standard falling rate of data

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