Innovative data management method and system based on visual service monitoring

Abstract

The invention discloses an innovative data governance method based on visual service monitoring, and belongs to the technical field of data governance. The method comprises the following steps: constructing a monitoring model of a data link; configuring a monitoring strategy according to the service scene; monitoring the business process through a monitoring model according to the monitoring strategy to obtain a monitoring result; constructing a visual interface; and generating a monitoring report according to the monitoring result, and displaying the monitoring report on a visual interface. According to the invention, by integrating the advanced visualization technology and service logic, the data management activity is closer to the actual service, the timeliness of problem prediction and processing is improved, and the stable and efficient operation of the data-driven service is ensured; a unified, scene-based, highly visual and automatic visual service monitoring system is constructed, the efficiency, accuracy and reliability of data management are improved, the problem response period is shortened, and smoothness and safety of the service process are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of data governance, and in particular to an innovative data governance method and system based on visualized business monitoring. Background Art

[0002] In the current data governance and business monitoring field, most practices rely on decentralized monitoring tools and manually driven management processes. These systems are structurally divided into multiple independent modules, each focusing on a specific part of the business process, such as monitoring database performance or the online status of application services. Although they provide primary alert and reporting mechanisms, these tools generally lack a global perspective and in-depth analysis capabilities, and cannot present the full picture of data flow and the complex relationships therein.

[0003] The current technical framework mainly revolves around several core aspects: data source monitoring focuses on the operating status and performance monitoring of data sources, but often ignores the important assessment of data integrity and consistency; application service monitoring focuses on the response time and failure frequency of a single application service, and fails to fully integrate the perspective analysis of service dependencies and data flows; manual governance operations are still highly dependent on human intervention, lacking automated process design and execution rules, resulting in low efficiency and prone to errors; the reports provided by the basic reporting system are mostly summaries of surface information, lacking intuitiveness and depth, making it difficult to quickly locate and solve actual problems; visualization limitations make it difficult to intuitively identify potential risks and bottlenecks in business processes.

[0004] Although each monitoring component has a clear architecture and operates independently, what is often displayed are these isolated units rather than a comprehensive business process, which cannot reflect the dynamic picture of data flowing through the entire business system. This situation exposes several core problems:

[0005] 1) Insufficient integration: Monitoring and governance tasks are scattered across a variety of tools and platforms, forming information islands and hindering the implementation of governance policies.

[0006] 2) High reliance on manual work: Manual operations dominate data governance and problem solving, which not only slows down response speed but also increases the chance of errors.

[0007] 3) Visualization shortcomings: The lack of efficient visualization tools makes problem discovery and analysis complicated and lengthy, reducing decision-making efficiency.

[0008] 4) Lack of automation: The monitoring and governance processes have a low level of automation, which prolongs the time period from problem identification to resolution.

[0009] 5) Poor expansion and adaptability: Faced with rapid business development and environmental changes, existing systems often find it difficult to quickly adapt to new demands, limiting long-term effectiveness.

[0010] Based on the above situation, how to design an innovative data governance method to build a unified, scenario-based, highly visualized and automated monitoring system has become a major difficulty in the current data governance field. By solving the above difficulties, the efficiency, accuracy and reliability of data governance can be fundamentally improved, while shortening the problem response cycle and ensuring the smoothness and security of business processes. Summary of the invention

[0011] The purpose of the present invention is to provide an innovative data governance method and system based on visual business monitoring. The method integrates advanced visualization technology and business logic to make data governance activities closer to business reality, improve the timeliness of problem prediction and processing, and ensure the stable and efficient operation of data-driven business; build a unified, scenario-based, highly visual and automated visual business monitoring system to improve the efficiency, accuracy and reliability of data governance, while shortening the problem response cycle to ensure the smoothness and security of business processes.

[0012] To solve the above technical problems, the present invention provides an innovative data governance method based on visual business monitoring, comprising the following steps:

[0013] Build a monitoring model for data links;

[0014] Configure monitoring strategies based on business scenarios;

[0015] According to the monitoring strategy, the business process is monitored through the monitoring model to obtain the monitoring results;

[0016] Build a visual interface;

[0017] Based on the monitoring results, a monitoring report is generated and displayed on a visual interface.

[0018] Preferably, according to the business scenario, the monitoring strategy is configured, which specifically includes the following steps:

[0019] Based on the characteristics of business scenarios, data lineage and business lineage analysis are used to customize monitoring strategies that are suitable for business scenarios.

[0020] Preferably, the monitoring strategy includes thresholds and alarm rules.

[0021] Preferably, according to the monitoring strategy, the business process is monitored through the monitoring model to obtain the monitoring results:

[0022] Obtain monitoring data of business processes through monitoring models;

[0023] The monitoring data is judged according to the threshold value to obtain the monitoring result.

[0024] Preferably, the method further comprises the following steps:

[0025] Alarm the monitoring results according to the alarm rules.

[0026] Preferably, the monitoring objects of the monitoring model include data sources, data links, computing tasks, upstream and downstream links, service interfaces, microservices, application functions, data reconciliation, basic software, operating environment and association relationships.

[0027] Preferably, obtaining monitoring data of a business process specifically includes the following steps:

[0028] Get the status and content of the data source and obtain the data source monitoring data;

[0029] Obtain the operation status of the data link and obtain the data link monitoring data;

[0030] Obtain the blood relationship running status of computing tasks and obtain computing task monitoring data;

[0031] Obtain the structure of the upstream and downstream databases of the link, determine the consistency, and obtain the monitoring data of the upstream and downstream databases;

[0032] Get the calling status of the service interface and obtain the service interface monitoring data;

[0033] Get the running status of microservices and obtain microservice monitoring data;

[0034] Obtain the comparison relationship between application functions and underwater monitoring objects, determine availability, and obtain application function monitoring data;

[0035] Obtain the data volume and data consistency of the source and target tables of the data link, and obtain data reconciliation monitoring data;

[0036] Obtain the status of basic software related to business scenarios and obtain basic software monitoring data;

[0037] Obtain the status of the basic environment related to the business scenario and obtain the operating environment monitoring data;

[0038] Obtain the dependency relationships between different monitoring objects and obtain the associated relationship monitoring data.

[0039] Preferably, the data source includes a database, a data table and table fields;

[0040] The operation of the data link includes delays and abnormalities;

[0041] The blood relationship operation status of the computing task includes the operation status of the computing task itself, whether it is executed in the blood relationship order, and whether the processing task is timely;

[0042] The calling status of the service interface obtains microservice application error exceptions, remote service call exceptions, remote service call timeouts and database slow query information;

[0043] The operating status of the microservice includes response time and throughput;

[0044] The status of the basic software related to the business scenario includes the availability and performance of the database and middleware;

[0045] The basic environment related to the business scenario includes key indicators such as CPU, memory, disk, and network connectivity;

[0046] The dependencies include data lineage, data impact, and data map functionality.

[0047] The present invention also provides an innovative data governance system based on visual business monitoring, comprising:

[0048] A model building module, used to build a monitoring model for data links;

[0049] The policy configuration module is used to configure monitoring policies according to business scenarios;

[0050] The monitoring module is used to monitor the business process through the monitoring model according to the monitoring strategy and obtain the monitoring results;

[0051] Interface building module, used to build visual interface;

[0052] The monitoring report generation module is used to generate a monitoring report based on the monitoring results and display it in a visual interface.

[0053] Compared with the prior art, the present invention has the following beneficial effects:

[0054] 1) Enhance business and technology collaboration: Integrate data governance activities closely into business processes, promote efficient collaboration between business and technical teams, and improve the pertinence and timeliness of governance.

[0055] 2) Improve governance efficiency and quality: Improve the degree of automation of monitoring and governance, reduce manual intervention, accelerate problem discovery and resolution, and ensure the accuracy and completeness of governance work.

[0056] 3) Optimize system stability and performance: Through real-time monitoring and early warning, preventive maintenance becomes possible, effectively ensuring the stability and high performance of system operation.

[0057] 4) Promote continuous improvement: Closed-loop governance mechanisms and intelligent analysis provide data support for continuous optimization of governance strategies and promote data governance. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] The specific implementation modes of the present invention are further described in detail below with reference to the accompanying drawings.

[0059] Figure 1 This is a flowchart of a business visualization monitoring process provided by Embodiment 1 of the present invention;

[0060] Figure 2 This is a flowchart of the implementation of business visualization monitoring provided by Example 1 of the present invention;

[0061] Figure 3 It is a design diagram of a link-centric monitoring model provided in Example 1 of the present invention;

[0062] Figure 4 This is a design diagram of a microservice-centric monitoring model provided in Example 1 of the present invention. DETAILED DESCRIPTION

[0063] Many specific details are set forth in the following description to facilitate a full understanding of the present invention. However, the present invention can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the connotation of the present invention, so the present invention is not limited to the specific implementation disclosed below.

[0064] The terms used in one or more embodiments of this specification are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of this specification. The singular forms of "a", "said" and "the" used in one or more embodiments of this specification and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items.

[0065] It should be understood that although the terms first, second, etc. may be used to describe various information in one or more embodiments of this specification, this information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0066] Full-stack monitoring: refers to comprehensive monitoring of application functions, service interfaces, application microservices, data models, computing tasks, data reconciliation, data links, basic software, and basic environments involved in above-water and underwater applications to ensure the normal operation of each link.

[0067] Data link monitoring: Real-time monitoring of data transmission link delays and anomalies. Once problems are discovered, they will be incorporated into the unified operation and maintenance management system and reported in a timely manner to ensure smooth data flow.

[0068] Computing task monitoring: Based on data lineage, monitor the running status of scheduled data processing tasks and check the task execution order, timeliness and accuracy.

[0069] Data model monitoring: Through structural reconciliation, timely discover and resolve differences in upstream and downstream database table structures, prevent link problems caused by abnormal table structures, and maintain the consistency of data models; through data reconciliation, timely discover differences in data volume in data models to ensure data integrity.

[0070] Service interface monitoring: Collect microservice interface call status, analyze and identify application errors, remote call exceptions, timeouts, slow database queries and other problems.

[0071] Microservice monitoring: Monitor the operating status of microservices, including response time, throughput, etc., to ensure stable microservice performance.

[0072] Application function monitoring: By configuring monitoring thresholds and alarm rules, the availability of application functions can be monitored to ensure normal business operations.

[0073] Data reconciliation: Compare the data volume and consistency between the source and target ends of the data link to ensure the correctness of data transmission.

[0074] Basic software monitoring: monitor the availability and performance of basic software related to business scenarios (such as databases and middleware).

[0075] Basic environment monitoring: monitor CPU, memory, disk usage, network connectivity, etc. to ensure the stability of the basic environment for business operations.

[0076] Relationship monitoring: Establish dependencies between monitored objects, and use functions such as data lineage to clarify and monitor the relationships and impacts between different components.

[0077] Information islands: Describes the phenomenon of data and information isolation in monitoring and governance systems due to the dispersion of tools and platforms, which makes it difficult to integrate resources and implement unified governance strategies.

[0078] The present invention is further described in detail below in conjunction with the accompanying drawings:

[0079] like Figure 1 As shown in the figure, a full-process monitoring method based on visual business monitoring:

[0080] The technical problem to be solved by the present invention is to design an innovative data governance method to build a unified, scenario-based, highly visual and automated visual business monitoring system to improve the efficiency, accuracy and reliability of data governance, while shortening the problem response cycle to ensure the smoothness and security of business processes.

[0081] In order to solve the above technical problems, the present invention provides an innovative data governance method based on visual business monitoring. This method integrates advanced visualization technology and business logic to make data governance activities closer to business reality, improve the timeliness of problem prediction and processing, and ensure the stable and efficient operation of data-driven business. The specific implementation steps include:

[0082] Conduct full-stack monitoring of application functions, service interfaces, application microservices, data models, computing tasks, data reconciliation, data links, basic software, and basic environments involved in above-water and underwater applications.

[0083] The data source monitors the status and content of the business database, data tables, and table fields of the production system involved in the business scenario.

[0084] The data link monitors link delays and abnormal conditions in real time, and incorporates any problems found into the unified operation and maintenance management system and reports them on time.

[0085] The computing task provides data lineage-based operation status monitoring for scheduled data processing tasks, analyzing the operation of the computing task itself, whether it is executed in the order of lineage, and whether the processing task is timely and correct.

[0086] The data model uses the structural reconciliation function to promptly discover differences in the upstream and downstream database table structures, avoid link blockages caused by abnormal table structures, automatically discover illegal adjustments to the database table structure, ensure consistency, and avoid affecting the business of related systems.

[0087] The service interface collects and analyzes the microservice interface call status to obtain information such as microservice application error exceptions, remote service call exceptions, remote service call timeouts, and slow database queries.

[0088] Microservices monitor microservices, obtain the running status of microservices, and monitor the response time and throughput as a whole.

[0089] The application function achieves application function availability monitoring by configuring the comparison relationship between the application function and the underwater monitoring object.

[0090] Data reconciliation is to compare the data volume and data consistency between the source table and the target table of the data link.

[0091] Basic software monitors basic software related to business scenarios, including the availability, performance, and other status of database, middleware, and other software.

[0092] The operating environment monitors the basic environment related to the business scenario, including key indicators such as CPU, memory, disk, and network connectivity.

[0093] Relationships are dependencies between different monitoring objects. By establishing dependencies between different monitoring objects, full-chain monitoring can be achieved. Based on the traceability of data lineage, through data lineage, data impact, and data map functions, data tables and processing tasks associated with related data can be located based on data model query input to clarify the association relationship.

[0094] The present invention proposes an innovative data governance method and system to address the problems of insufficient integration, high reliance on manual labor, visual shortcomings, lack of automation, and poor expansion adaptability in the current data governance and business monitoring fields. The invention aims to achieve intuitive display and in-depth analysis of data through real-time monitoring and analysis of business scenario visualization technology, and support fast and accurate business decision-making and optimization. The specific technical solution includes building a unified visual business model, implementing full-chain monitoring, customizing scenario-based monitoring strategies, introducing early warning mechanisms, establishing a closed-loop governance feedback system, and providing advanced visualization and intelligent analysis tools. This method significantly enhances the collaborative operation capabilities of business and technology, improves governance efficiency and quality, optimizes system stability and performance, and promotes the continuous improvement and optimization of the data governance system, fundamentally solving the limitations of existing technologies and ensuring efficient, safe, and smooth operation of business processes.

[0095] The present invention has the following specific features:

[0096] 1) Full-chain monitoring design: covers every link from the data source to the business function terminal, including data synchronization, data processing, service interface, microservice performance, functional availability, etc., to ensure data integrity and business continuity, and capture potential faults and anomalies in real time.

[0097] 2) Scenario-based monitoring customization: Customize monitoring strategies based on the characteristics of business scenarios, use data lineage and business lineage analysis to deeply monitor data links, data reconciliation, computing tasks, etc., to ensure that monitoring is closely aligned with business needs and to achieve rapid identification and response to problems.

[0098] 3) Visual business model construction: Graphically display key elements such as business scenarios, data processes, application services, microservices, database tables, etc. on a unified platform to achieve intuitive mapping of business and technical architecture, making it easier to understand and manage data governance activities from a global perspective.

[0099] 4) Intelligent early warning: According to different business scenarios and preset thresholds and alarm conditions for different monitoring objects, problems are automatically detected and pushed to relevant responsible parties. At the same time, the progress of problem handling is tracked until the loop is closed, reducing manual intervention and improving governance efficiency.

[0100] 5) Visual display and intelligent analysis: Provide an interactive, highly visual monitoring interface that intuitively displays business operation status in the form of charts, dashboards, etc., including the link where the problem occurred, the scope and extent of the impact, to assist decision makers in quickly locating the root cause of the problem and assessing the impact.

[0101] 6) Closed-loop governance feedback: Establish a closed-loop mechanism for problem discovery, analysis, processing, and feedback to ensure that every problem discovered through monitoring can be solved in a timely and effective manner, and continuously optimize governance strategies and rules through data analysis.

[0102] The present invention uses data visualization technology to provide intuitive display and in-depth analysis of business monitoring data to support business decision-making and optimization.

[0103] In order to better illustrate the technical effect of the present invention, the present invention provides the following specific embodiments to illustrate the above technical process:

[0104] Example 1: An innovative data governance method based on visual business monitoring, such as Figure 2 As shown in the figure, the specific implementation methods and steps of the actual monitoring business scenarios are described, mainly including: monitoring model design, business scenario decomposition, visualization application design, and intelligent monitoring report generation.

[0105] Business visualization monitoring establishes unified monitoring specifications and standards so that consistent monitoring methods can be adopted in all monitoring scenarios, including business scenario combing specifications, monitoring indicator definition, model design, visualization display, naming rules, and normalization of monitoring.

[0106] S01, monitoring model design, includes monitoring of various monitoring objects such as basic environment, basic software, data links, data models, computing tasks, service interfaces, microservices, etc.

[0107] The model design follows the scalability design, which can adapt to the growth and changes of the system and reduce the model changes caused by business changes.

[0108] The model design follows reliability design, and the monitoring data is accurate, timely, and reliable, and can accurately reflect the system status, performance, and affected application functions.

[0109] in, Figure 3It is a link-centric monitoring model design diagram provided by an embodiment of the present invention, which is centered on the data link and associates synchronization tasks, databases, data tables, infrastructure, upstream and downstream links, computing tasks, data reconciliation, etc., to associate the entire underwater monitoring object related to the link.

[0110] in, Figure 4 It is a microservice-centric monitoring model design diagram provided by an embodiment of the present invention. It is centered on microservices, associates interfaces, servers, data tables, and application functions, and associates water application functions and business scenarios by configuring the dependencies of microservices.

[0111] S02, comprehensive sorting of business processes, business scenarios including on-water and underwater application functions, and sorting out of microservices, interfaces, links, infrastructure, databases, tables, etc. related to application scenarios to monitor data integrity, scenario processes, faults and anomalies, performance, and functional availability.

[0112] Among them, according to the monitoring indicators and specific requirements of the business scenario, appropriate thresholds and alarm rules are set, and when the indicators exceed or fall below the thresholds, alarm notifications are triggered.

[0113] S03, Visualization Application Design, including unified standards such as visualization design principles, methods, and specifications. Provide an intuitive and easy-to-understand visualization interface, keep it as concise as possible, highlight important information, unify interface elements, font styles and colors, and select appropriate chart types and visual elements so that users can intuitively understand the status and trends of the system.

[0114] S04, intelligent monitoring report generation, automatically provides one-click, detailed, qualitative intelligent reports for problem analysis.

[0115] In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the modules, modules or units is only a logical function division, and there may be other division methods in actual implementation, for example, multiple units, modules or components can be combined or integrated into another device, or some features can be ignored or not executed.

[0116] The units may or may not be physically separated, and the components displayed as units may be one physical unit or multiple physical units, that is, they may be located in one place or distributed in multiple different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0117] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0118] In particular, according to the embodiments disclosed in the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part, and / or installed from a removable medium. When the computer program is executed by the central processing unit (CPU), the above-mentioned functions defined in the method of the present invention are executed. It should be noted that the above-mentioned computer-readable medium of the present invention can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, but not limited to, a system, device or device of an electrical, magnetic, optical, electromagnetic, infrared segment, or semiconductor, or any combination of the above.

[0119] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0120] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. An innovative data governance method based on visual business monitoring, characterized in that: The following steps are involved: Build a monitoring model for data links; Configure monitoring strategies based on business scenarios; According to the monitoring strategy, the business process is monitored through the monitoring model to obtain the monitoring results; Build a visual interface; Based on the monitoring results, a monitoring report is generated and displayed on a visual interface.

2. The innovative data governance method based on visual business monitoring according to claim 1 is characterized in that: Configure the monitoring strategy according to the business scenario, including the following steps: Based on the characteristics of business scenarios, data lineage and business lineage analysis are used to customize monitoring strategies that are suitable for business scenarios.

3. The innovative data governance method based on visual business monitoring according to claim 2 is characterized by: The monitoring strategy includes thresholds and alarm rules.

4. The innovative data governance method based on visual business monitoring according to claim 3 is characterized in that: According to the monitoring strategy, the business process is monitored through the monitoring model to obtain the monitoring results: Obtain monitoring data of business processes through monitoring models; The monitoring data is judged according to the threshold value to obtain the monitoring result.

5. The innovative data governance method based on visual business monitoring according to claim 4 is characterized in that: The following steps are also included: Alarm the monitoring results according to the alarm rules.

6. The innovative data governance method based on visual business monitoring according to claim 5 is characterized by: The monitoring objects of the monitoring model include data sources, data links, computing tasks, upstream and downstream links, service interfaces, microservices, application functions, data reconciliation, basic software, operating environment and association relationships.

7. The innovative data governance method based on visual business monitoring according to claim 6 is characterized in that: Obtaining monitoring data for a business process includes the following steps: Get the status and content of the data source and obtain the data source monitoring data; Obtain the operation status of the data link and obtain the data link monitoring data; Obtain the blood relationship running status of computing tasks and obtain computing task monitoring data; Obtain the structure of the upstream and downstream databases of the link, determine the consistency, and obtain the monitoring data of the upstream and downstream databases; Get the calling status of the service interface and obtain the service interface monitoring data; Get the running status of microservices and obtain microservice monitoring data; Obtain the comparison relationship between application functions and underwater monitoring objects, determine availability, and obtain application function monitoring data; Obtain the data volume and data consistency of the source and target tables of the data link, and obtain data reconciliation monitoring data; Obtain the status of basic software related to business scenarios and obtain basic software monitoring data; Obtain the status of the basic environment related to the business scenario and obtain the operating environment monitoring data; Obtain the dependency relationships between different monitoring objects and obtain the associated relationship monitoring data.

8. The innovative data governance method based on visual business monitoring according to claim 7 is characterized in that: The data source includes a database, a data table and table fields; The operation of the data link includes delays and abnormalities; The blood relationship operation status of the computing task includes the operation status of the computing task itself, whether it is executed in the blood relationship order, and whether the processing task is timely; The calling status of the service interface obtains microservice application error exceptions, remote service call exceptions, remote service call timeouts and database slow query information; The operating status of the microservice includes response time and throughput; The status of the basic software related to the business scenario includes the availability and performance of the database and middleware; The basic environment related to the business scenario includes key indicators such as CPU, memory, disk, and network connectivity; The dependencies include data lineage, data impact, and data map functionality.

9. An innovative data governance system based on visual business monitoring, used to implement the innovative data governance method based on visual business monitoring as described in any one of claims 1-8, characterized in that: include: A model building module, used to build a monitoring model for data links; The policy configuration module is used to configure monitoring policies according to business scenarios; The monitoring module is used to monitor the business process through the monitoring model according to the monitoring strategy and obtain the monitoring results; Interface building module, used to build visual interface; The monitoring report generation module is used to generate a monitoring report based on the monitoring results and display it in a visual interface.

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