CN111080261A - Visual data asset management system based on big data - Google Patents
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Abstract
The invention relates to data asset management, in particular to a visualized data asset management system based on big data, which comprises a server, wherein the server is connected with a data resource acquisition unit for acquiring data resource information, and the data resource acquisition unit comprises a database acquisition model development module for acquiring the data resource information of a database and a data interface acquisition model development module for acquiring the data interface data resource information; the technical scheme provided by the invention can effectively overcome the defects that the data resource information cannot be classified and managed, the data cannot correspond to the service mapping and the visualization degree of data management is low in the prior art.
Description
Technical Field
The invention relates to data asset management, in particular to a visualized data asset management system based on big data.
Background
The massive and diversified data assets of the power grid cause difficulty in comprehensively knowing the data types, distribution, links, quantity, association with services and the like, and the overall view of the data assets cannot be mastered. In the aspect of the current data service directory, the data service directory is provided by a file under line, which is not convenient for updating and information synchronization, and has the problems of difficult data resource retrieval and low efficiency of obtaining data resources under line, and needs multi-party coordination and multi-party participation.
Due to the lack of an online visualization platform tool, business personnel cannot intuitively and quickly know data sources, data links and the relationship between data and business, cannot quickly find the data, understand the data and use the data, and simultaneously have the problems of repeated data tracing and business tracing, so that the resource utilization efficiency is reduced, the mining of data value is seriously restricted, and the improvement of data sharing service capability is influenced.
The existing data asset management system mainly has the following defects:
the existing data platforms are in a strip-blocking management mode, data are managed dispersedly and stored in multiple heads according to services, and data management is scattered and low in efficiency;
the whole process management of the data has certain loss, the unified coordination organization of the company level is lacked, and the data asset management and application are lacked in the design of top-level thought;
and thirdly, the quality of the current stock data dictionary is uneven, the definition of data resources is lost, the data and service are seriously split, the data are dispersed in a plurality of systems, the construction times and the construction companies of the systems are different, and the technical standards are not uniform.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects in the prior art, the invention provides a visualized data asset management system based on big data, which can effectively overcome the defects that the prior art cannot perform classified management on data resource information, data cannot correspond to business mapping and the visualization degree of data management is low.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme:
a visualized data asset management system based on big data comprises a server, wherein the server is connected with a data resource acquisition unit for acquiring data resource information, and the data resource acquisition unit comprises a database acquisition model development module for acquiring the data resource information of a database and a data interface acquisition model development module for acquiring the data interface data resource information;
the server is connected with a data resource management unit which is used for carrying out classified statistics on the data resource information acquired by the data resource acquisition unit, and the data resource management unit comprises a data resource classification module which is used for classifying the data resource information, a data resource information statistics module which is used for carrying out statistics on the data resource information classified by the data resource classification module, and a data full-link tracking module which is used for carrying out link tracking on the whole process of data resource information processing;
the server is connected with a data asset visualization unit for performing visualization management on the data resource information acquired by the data resource acquisition unit, and the data asset visualization unit comprises a data mapping relation synchronization module for synchronizing the data resource information mapping relation and a data mapping relation display module for displaying the data resource information mapping relation.
Preferably, the database acquisition model development module acquires data resource information in the database of gbase, rdb and oracle by developing a data acquisition adapter.
Preferably, the data resource information in the database includes database connection, task management, acquisition scheduling configuration, and log information.
Preferably, the data interface acquisition model development module acquires data resource information in the OGG and ETL data interfaces through a development data acquisition adapter.
Preferably, the data resource information in the data interface includes data interface link information, mapping relationship, and operation condition.
Preferably, the data resource classification module performs function development on visualization of data resource information overall situation, business navigation, query retrieval, a data resource directory and a business directory according to domains and systems.
Preferably, the data full link tracking module performs link tracking on the whole process of acquisition, processing, storage, application and sharing of data resource information.
Preferably, the method for synchronizing the data resource information mapping relationship by the data mapping relationship synchronization module includes the following steps:
s1, maintaining a data mapping relation tree query structure according to the universe model;
s2, sequentially maintaining the information major and information minor of the data mapping relation in the data structure until the data entity name;
s3, applying a mapping relation map according to the data warehouse source region, the universe model layer and the data authorization;
s4, selecting a data physical entity to be maintained on the data mapping relationship maintenance interface, and starting maintenance from the data entity name of the source region of the starting data warehouse;
s5, manually maintaining, selecting and confirming the name of the data entity and the name of the ETL process;
and S6, automatic maintenance, automatic generation of mapping relation according to the data circulation naming rule, and confirmation and storage of the mapping relation.
Preferably, the data mapping relation display module performs layer-by-layer visual display according to the service field, the service scene, the service point and the physical model through the service view and the data view; the business view describes business profiles and business activities, and the data view panoramically displays data asset distributions.
Preferably, the server is further connected to a data resource change analysis module for monitoring a data resource information change result and analyzing a data resource information change influence range.
(III) advantageous effects
Compared with the prior art, the visualized data asset management system based on the big data has the following beneficial effects that:
1. the data resource management unit classifies and counts the data resource information acquired by the data resource acquisition unit, the data resource management unit comprises a data resource classification module for classifying the data resource information, a data resource information statistics module for counting the data resource information classified by the data resource classification module, and a data full-link tracking module for performing link tracking on the whole process of data resource information processing, the data resource information can be effectively classified by the data resource classification module, and the upstream and downstream relations of a data stream can be effectively traced by using the data full-link tracking module, so that a user can quickly master the blood margin of data and the influence on data object change;
2. the data asset visualization unit is used for visually managing the data resource information acquired by the data resource acquisition unit, and comprises a data mapping relation synchronization module for synchronizing the mapping relation of the data resource information and a data mapping relation display module for displaying the mapping relation of the data resource information.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic diagram of the system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
A big data-based visual data asset management system is shown in figure 1 and comprises a server, wherein the server is connected with a data resource acquisition unit for acquiring data resource information, and the data resource acquisition unit comprises a database acquisition model development module for acquiring the data resource information of a database and a data interface acquisition model development module for acquiring the data interface data resource information;
the server is connected with a data resource management unit used for carrying out classified statistics on the data resource information acquired by the data resource acquisition unit, and the data resource management unit comprises a data resource classification module used for classifying the data resource information, a data resource information statistics module used for carrying out statistics on the data resource information classified by the data resource classification module, and a data full-link tracking module used for carrying out link tracking on the whole data resource information processing process;
the server is connected with a data asset visualization unit which is used for performing visualization management on the data resource information acquired by the data resource acquisition unit, and the data asset visualization unit comprises a data mapping relation synchronization module used for synchronizing the data resource information mapping relation and a data mapping relation display module used for displaying the data resource information mapping relation.
The database acquisition model development module acquires data resource information in the database of gbase, rdb and oracle by developing a data acquisition adapter.
The data resource information in the database comprises database connection, task management, acquisition scheduling configuration and log information.
And the data interface acquisition model development module acquires data resource information in the OGG and ETL data interfaces through a development data acquisition adapter.
The data resource information in the data interface comprises data interface link information, mapping relation and operation condition.
The data resource classification module performs function development on visualization of overall data resource information, service navigation, query retrieval, a data resource directory and a service directory according to domains and systems.
The data full link tracking module performs link tracking on the whole process of acquisition, processing, storage, application and sharing of data resource information.
The method for synchronizing the data resource information mapping relation by the data mapping relation synchronization module comprises the following steps:
s1, maintaining a data mapping relation tree query structure according to the universe model;
s2, sequentially maintaining the information major and information minor of the data mapping relation in the data structure until the data entity name;
s3, applying a mapping relation map according to the data warehouse source region, the universe model layer and the data authorization;
s4, selecting a data physical entity to be maintained on the data mapping relationship maintenance interface, and starting maintenance from the data entity name of the source region of the starting data warehouse;
s5, manually maintaining, selecting and confirming the name of the data entity and the name of the ETL process;
and S6, automatic maintenance, automatic generation of mapping relation according to the data circulation naming rule, and confirmation and storage of the mapping relation.
The data mapping relation display module performs layer-by-layer visual display according to the service field, the service scene, the service point and the physical model through the service view and the data view; the business view describes the business profile and business activities, and the data view shows the data asset distribution in a panoramic way.
The server is also connected with a data resource change analysis module which is used for monitoring the data resource information change result and analyzing the data resource information change influence range.
The data resource acquisition unit is used for acquiring data resource information and comprises a database acquisition model development module for acquiring the data resource information of the database and a data interface acquisition model development module for acquiring the data resource information of the data interface.
The database acquisition model development module acquires data resource information in the database of gbase, rdb and oracle by developing a data acquisition adapter. The data resource information in the database comprises database connection, task management, acquisition scheduling configuration and log information.
And the data interface acquisition model development module acquires data resource information in the OGG and ETL data interfaces through a development data acquisition adapter. The data resource information in the data interface comprises data interface link information, mapping relation and operation condition.
The data resource management unit classifies and counts the data resource information acquired by the data resource acquisition unit, the data resource management unit comprises a data resource classification module for classifying the data resource information, a data resource information statistics module for counting the data resource information classified by the data resource classification module, and a data full-link tracking module for performing link tracking on the whole process of data resource information processing, the data resource information can be effectively classified by the data resource classification module, and the upstream and downstream relations of a data stream can be effectively traced by using the data full-link tracking module, so that a user can quickly master the blood margin of data and the influence on data object change.
The data resource classification module performs function development on visualization of overall data resource information, service navigation, query retrieval, a data resource directory and a service directory according to domains and systems.
The data full link tracking module performs link tracking on the whole process of acquisition, processing, storage, application and sharing of data resource information.
The data asset visualization unit is used for visually managing the data resource information acquired by the data resource acquisition unit, and comprises a data mapping relation synchronization module for synchronizing the mapping relation of the data resource information and a data mapping relation display module for displaying the mapping relation of the data resource information.
The method for synchronizing the data resource information mapping relation by the data mapping relation synchronization module comprises the following steps:
s1, maintaining a data mapping relation tree query structure according to the universe model;
s2, sequentially maintaining the information major and information minor of the data mapping relation in the data structure until the data entity name;
s3, applying a mapping relation map according to the data warehouse source region, the universe model layer and the data authorization;
s4, selecting a data physical entity to be maintained on the data mapping relationship maintenance interface, and starting maintenance from the data entity name of the source region of the starting data warehouse;
s5, manually maintaining, selecting and confirming the name of the data entity and the name of the ETL process;
and S6, automatic maintenance, automatic generation of mapping relation according to the data circulation naming rule, and confirmation and storage of the mapping relation.
The data mapping relation display module performs layer-by-layer visual display according to the service field, the service scene, the service point and the physical model through the service view and the data view; the business view describes the business profile and business activities, and the data view shows the data asset distribution in a panoramic way.
The display architecture design of the data mapping relation display module is based on an SG-CIM4.0 model, and people who do not know the business can use the data quickly through the panoramic map. The data mapping relation display module can display the relation between the service domains and the link relation between the domains:
1. exposing relationships between business domains
Based on an SG-CIM4.0 model and a business connection relation, displaying the association between universes (personnel, finance, materials, projects, power grids, assets, customers, markets, safety and synthesis), and performing layer-by-layer penetrating query by clicking corresponding secondary subject domains until the names and attributes of data entities;
2. showing link relationships between domains
The two-level subject domain of the panoramic display can jump to an information retrieval page (displaying physical table names, table descriptions, source systems and the like) navigated by domain, and the detailed information, data links, support applications and data previews can be traced by clicking corresponding buttons.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. A visual data asset management system based on big data is characterized in that: the system comprises a server, wherein the server is connected with a data resource acquisition unit for acquiring data resource information, and the data resource acquisition unit comprises a database acquisition model development module for acquiring the data resource information of a database and a data interface acquisition model development module for acquiring the data resource information of a data interface;
the server is connected with a data resource management unit which is used for carrying out classified statistics on the data resource information acquired by the data resource acquisition unit, and the data resource management unit comprises a data resource classification module which is used for classifying the data resource information, a data resource information statistics module which is used for carrying out statistics on the data resource information classified by the data resource classification module, and a data full-link tracking module which is used for carrying out link tracking on the whole process of data resource information processing;
the server is connected with a data asset visualization unit for performing visualization management on the data resource information acquired by the data resource acquisition unit, and the data asset visualization unit comprises a data mapping relation synchronization module for synchronizing the data resource information mapping relation and a data mapping relation display module for displaying the data resource information mapping relation.
2. The big-data based visualization data asset management system of claim 1, wherein: the database acquisition model development module acquires data resource information in the database of gbase, rdb and oracle by developing a data acquisition adapter.
3. The big-data based visualization data asset management system of claim 2, wherein: the data resource information in the database comprises database connection, task management, acquisition scheduling configuration and log information.
4. The big-data based visualization data asset management system of claim 1, wherein: and the data interface acquisition model development module acquires data resource information in the OGG and ETL data interfaces through a development data acquisition adapter.
5. The big-data based visualization data asset management system of claim 4, wherein: the data resource information in the data interface comprises data interface link information, a mapping relation and an operation condition.
6. The big-data based visualization data asset management system of claim 1, wherein: the data resource classification module performs function development on visualization of overall data resource information, service navigation, query retrieval, a data resource directory and a service directory according to domains and systems.
7. The big-data based visualization data asset management system of claim 1, wherein: the data full link tracking module performs link tracking on the whole process of acquisition, processing, storage, application and sharing of data resource information.
8. The big-data based visualization data asset management system of claim 1, wherein: the method for synchronizing the data resource information mapping relation by the data mapping relation synchronization module comprises the following steps:
s1, maintaining a data mapping relation tree query structure according to the universe model;
s2, sequentially maintaining the information major and information minor of the data mapping relation in the data structure until the data entity name;
s3, applying a mapping relation map according to the data warehouse source region, the universe model layer and the data authorization;
s4, selecting a data physical entity to be maintained on the data mapping relationship maintenance interface, and starting maintenance from the data entity name of the source region of the starting data warehouse;
s5, manually maintaining, selecting and confirming the name of the data entity and the name of the ETL process;
and S6, automatic maintenance, automatic generation of mapping relation according to the data circulation naming rule, and confirmation and storage of the mapping relation.
9. The big-data based visualization data asset management system of claim 1, wherein: the data mapping relation display module performs layer-by-layer visual display according to the service field, the service scene, the service point and the physical model through the service view and the data view; the business view describes business profiles and business activities, and the data view panoramically displays data asset distributions.
10. The big-data based visualization data asset management system of claim 1, wherein: the server is also connected with a data resource change analysis module which is used for monitoring the data resource information change result and analyzing the data resource information change influence range.
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| CN111800454A (en) * | 2020-05-11 | 2020-10-20 | 上海君实生物工程有限公司 | Visual data display system and visual page screen projection method |
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Application publication date: 20200428 |