Data processing method and device, equipment, medium and product

Abstract

The invention discloses a data processing method, device and equipment, a medium and a product, relates to the technical field of data processing and the technical field of large models, and can be applied to the field of financial science and technology. The method comprises the following steps: acquiring a service data table; the business data table comprises at least one of technical metadata, business metadata and operation metadata; associating the business data table, the enterprise architecture information and the business system based on a large model to obtain an information association table; wherein the enterprise architecture information comprises at least one architecture element of a business field, a business component, a business object, a business entity, a business activity, a business task group, a business task and a business value flow; and performing data analysis on the information association table to obtain target association information. Through the technical scheme, the data quality can be improved to realize data management.

Description

Technical Field

[0001] The present invention relates to the fields of data processing technology and large model technology, can be applied to the field of financial technology, and in particular to a data processing method, device, equipment, medium and product. Background Art

[0002] Information and knowledge are the key to competitive advantage, and data is called the raw material of information. Managing data information must first start with managing data metadata information. Metadata usually includes technical metadata, business metadata, and operational metadata. From the information contained in the metadata, each table should be in the enterprise architecture blueprint, have its own modeling information, include traces of data integration and interoperability, primary and secondary data source management information, and other business knowledge. The amount of information contained in a table should be comprehensive, and the data must be of high quality. If there is no reasonable management, this information will be omitted and gradually lost, causing huge losses. For example, the calculation formula of the handling fee field in a certain table, how to calculate the handling fee for processing fees at different levels, etc. However, general data management software records information in a detailed manner, and it is difficult to link only part of the information. Therefore, it is crucial to link business data with enterprise architecture, system applications and other information to achieve data governance. Summary of the invention

[0003] The present invention provides a data processing method, device, equipment, medium and product to improve data quality.

[0004] According to one aspect of the present invention, there is provided a data processing method, the method comprising:

[0005] Acquire a business data table; the business data table includes at least one of technical metadata, business metadata, and operation metadata;

[0006] Based on the big model, the business data table, the enterprise architecture information and the business system are associated to obtain an information association table; wherein the enterprise architecture information includes at least one architecture element of a business domain, a business component, a business object, a business entity, a business activity, a business task group, a business task and a business value stream;

[0007] Data analysis is performed on the information association table to obtain target association information.

[0008] According to another aspect of the present invention, there is provided a data processing device, the device comprising:

[0009] A business data table acquisition module, used to acquire a business data table; the business data table includes at least one of technical metadata, business metadata and operation metadata;

[0010] An information association table determination module is used to associate the business data table, enterprise architecture information and business system based on the big model to obtain an information association table; wherein the enterprise architecture information includes at least one architecture element of business domain, business component, business object, business entity, business activity, business task group, business task and business value stream;

[0011] The associated information determination module is used to perform data analysis on the information association table to obtain target associated information.

[0012] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0013] at least one processor; and

[0014] a memory communicatively connected to the at least one processor; wherein,

[0015] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the data processing method described in any embodiment of the present invention.

[0016] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the data processing method described in any embodiment of the present invention when executed.

[0017] According to another aspect of the present invention, a computer program product is provided. The computer program product comprises a computer program. When the computer program is executed by a processor, the data processing method according to any embodiment of the present invention is implemented.

[0018] The technical solution of the embodiment of the present invention is to obtain a business data table; the business data table includes at least one of technical metadata, business metadata and operational metadata; the business data table, enterprise architecture information and business system are associated based on the big model to obtain an information association table; wherein the enterprise architecture information includes at least one architecture element of business domain, business component, business object, business entity, business activity, business task group, business task and business value stream; data analysis is performed on the information association table to obtain target association information. The above technical solution can associate business data with other data management system applications, and can also associate business data tables with business architecture blueprints, thereby facilitating the deployment of data governance detection indicators to improve data quality.

[0019] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 is a flow chart of a data processing method provided according to an embodiment of the present invention;

[0022] Figure 2 is a schematic diagram of editing a business data table according to an embodiment of the present invention;

[0023] Figure 3 It is a schematic diagram of a process of obtaining an information association table provided in an embodiment of the present invention;

[0024] Figure 4 is a flow chart of a data processing method provided according to an embodiment of the present invention;

[0025] Figure 5 is a schematic diagram showing a first association diagram provided according to an embodiment of the present invention;

[0026] Figure 6 is a schematic diagram showing second association information provided according to an embodiment of the present invention;

[0027] Figure 7 is a structural schematic diagram of a data processing device provided according to an embodiment of the present invention;

[0028] Figure 8 It is a structural schematic diagram of an electronic device for implementing the data processing method of an embodiment of the present invention. DETAILED DESCRIPTION

[0029] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0030] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0031] In addition, it should be noted that in the technical solution of the present invention, the collection, storage, use, processing, transmission, provision and disclosure of relevant data such as business data tables are in compliance with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0032] Figure 1 This is a flow chart of a data processing method provided according to an embodiment of the present invention. This embodiment can be applied to the situation of how to link massive business management data with enterprise architecture data, and is particularly applicable to the situation of how to link massive business management data with enterprise architecture data for data governance in financial business scenarios. The method can be executed by a data processing device, which can be implemented in the form of hardware and / or software, and can be configured in an electronic device that carries data processing functions, such as a server. Figure 1 As shown, the method includes:

[0033] S110: Obtain a business data table.

[0034] In this embodiment, the business data table refers to business data in the financial business scenario, such as data asset-related related data; optionally, the business data table includes at least one of technical metadata, business metadata and operational metadata; wherein the business metadata is used to record the non-technical names and definitions of subject domains, concepts, entities, attributes, data types and other characteristics of attributes, such as scope descriptions, calculation formulas, algorithms and business rules, valid domain values ​​and definitions, etc.; for example, business metadata includes but is not limited to the definitions and descriptions of data sets, tables and fields; business rules, conversion rules, calculation formulas and derivation formulas; data models; data quality rules and verification results; data update plans; data traceability and data lineage; data standards; specific data element recording systems; valid value constraints; information of stakeholders (such as data owners, data management specialists); data security / privacy levels; known data issues; and data usage instructions. Technical metadata provides information about the technical details of the data, the systems that store the data, and the data flow process within and between systems; for example, technical metadata includes but is not limited to physical database table names and field names; field attributes; database object attributes; access rights; data (add, delete, modify, query) rules; physical data model, including data table names, keys and indexes; record the relationship between the data model and physical assets; ETL job details; file format model definition; source-to-target mapping documents; data lineage documents, including information on upstream and downstream change impacts; program and application names and descriptions; scheduling plans and dependencies for periodic jobs (content updates); recovery and backup rules; data access permissions, groups, and roles. Operational metadata describes the details of processing and accessing data. It should be noted that the business data table can be a data lake data table; for example, operational metadata includes but is not limited to the job execution log of the batch program; extraction history and results; scheduling exception handling; audit, balance, and control measurement results; error logs; access mode, frequency, and execution time of reports and queries; maintenance plans and execution of patches and versions, as well as the current patch level; backup, retention, creation date, disaster recovery plan; service level agreement (SLA) requirements and regulations; capacity and usage patterns; data archiving, retention rules and related archive files; cleaning standards; data sharing rules and agreements; roles, responsibilities, and contact information of technical personnel. It should be noted that the business data table also records basic data information.

[0035] An optional method is to obtain the business data table by responding to the trigger operation of the edit button. Specifically, the business personnel can enter the data lake database by clicking the edit button, edit the data table, and obtain the business data table. Figure 2 As shown in the figure, business personnel can use the edit button to provide the encyclopedia information about the data table that they know about, and obtain the business data table. In this way, richer business data can be obtained.

[0036] S120. Associate the business data table, enterprise architecture information, and business system based on the big model to obtain an information association table.

[0037] Among them, the enterprise architecture information includes at least one architectural element from the business domain, business components, business objects, business entities, business activities, business task groups, business tasks and business value streams; among them, the business domain is a collection of closely related business activities, which provides complete business value to each business role; the business component is the assembly of supporting processes and the grouping of functionally cohesive business capabilities; the business object is a collection of a group of related entities that reflects the essence of the business; the business entity is an abstract representation from a business perspective of an objective existence in the real world and can be distinguished from other objects, described by a series of business attributes; the business activity is a set of end-to-end behavior sequences that the enterprise executes in order to achieve the goals of the business stakeholders, and each sequence in the set can produce observable and valuable results for a certain business stakeholder; the business task group is a series of actions continuously performed by a certain business role in order to achieve a specific business goal, which can produce observable and valuable results; the business task refers to the operation performed to achieve a specific business purpose. Information associations include table names, field names, business domains, business components, business objects, business entities (entities), business activities (activities), business task groups (task groups), business tasks (tasks), and business value streams (value streams).

[0038] Specifically, Figure 3 As shown, the fields of the business data table and their description information, enterprise architecture information such as business value streams and their descriptions, and business systems and their descriptions can be input into the big model. After being judged by the big model, the association relationship between the fields in the business data table and the enterprise architecture information, as well as the association relationship between the fields and the business system are output, and then these association relationships are stored in the data table to obtain an information association table.

[0039] S130: Analyze the information association table to obtain target association information.

[0040] The target association information refers to the association relationship between data obtained after in-depth analysis of the data in the information association table.

[0041] Specifically, a small data analysis model can be used to analyze the association relationship between the data in each field in the information association table to obtain the target association information. The small data analysis model can be a neural network model with a simpler network structure and fewer parameters than the large model.

[0042] The technical solution of the embodiment of the present invention is to obtain a business data table; the business data table includes at least one of technical metadata, business metadata and operational metadata; the business data table, enterprise architecture information and business system are associated based on the big model to obtain an information association table; wherein the enterprise architecture information includes at least one architecture element of business domain, business component, business object, business entity, business activity, business task group, business task and business value stream; data analysis is performed on the information association table to obtain target association information. The above technical solution can associate business data with other data management system applications, and can also associate business data tables with business architecture blueprints, thereby facilitating the deployment of data governance detection indicators to improve data quality.

[0043] Based on the above embodiment, as an optional method of the present invention, it also includes: displaying the target association information in the form of target display. Specifically, the target association information, i.e., the location information of the fields in the business data table in the enterprise architecture blueprint, is displayed through a chart; and the association relationship between the business system, i.e., the business application and the information association table can also be displayed in a preset form on the page.

[0044] It is understandable that by displaying the information association table in multiple dimensions, the display content is richer and clearer, which is convenient for relevant personnel to analyze.

[0045] Figure 4 is a flow chart of a data processing method provided according to an embodiment of the present invention. Based on the above embodiment, this embodiment further optimizes "analyzing the information association table to obtain target association information" and provides an optional implementation scheme. Figure 4 As shown, the method includes:

[0046] S210: Obtain a business data table.

[0047] The business data table includes at least one of technical metadata, business metadata and operation metadata.

[0048] S220. Associate the business data table, enterprise architecture information, and business system based on the big model to obtain an information association table.

[0049] The enterprise architecture information includes at least one architecture element of a business domain, a business component, a business object, a business entity, a business activity, a business task group, a business task, and a business value stream;

[0050] S230: Analyze the information association table to obtain target association information.

[0051] An optional method is to perform data analysis on the information association table to obtain target association information, including: associating and classifying table fields in the information association table to obtain the architectural elements to which the table fields belong; drawing a chart based on the table fields and the architectural elements to which the table fields belong to obtain a first association graph, and using the first association graph as the target association information.

[0052] The first association diagram refers to an association diagram of the positions of fields in the information association table in the enterprise architecture blueprint.

[0053] Specifically, the fields and architecture elements of the information association table can be screened and matched to obtain the architecture elements to which the table fields belong. For example, this can be determined in the following way: SELECT business domain, business component, business object, entity, activity, task group, task, value stream FROM information association table WHERE table name = table 1. As a specific example, field 1 and field 2 belong to entity 1 architecture element; field 3, field 4 and field 5 belong to task 1 architecture element; field 6, field 7 and field 8 belong to task 2 architecture element; field 1 to field 8 belong to value stream 1 architecture element. Afterwards, a chart is drawn according to the table fields and the architecture elements to which the table fields belong. For example, the table fields and the architecture elements to which they belong are connected by lines to obtain a first association diagram, such as Figure 5 Furthermore, the first association graph can be used as target association information.

[0054] It can be understood that by screening the information association table to obtain the position of the table in the enterprise architecture blueprint, the information association table is linked with the enterprise architecture blueprint to facilitate data governance.

[0055] Another optional method is to perform data analysis on the information association table to obtain target association information, including: determining relevant information corresponding to the target application from the information association table, obtaining second association information associated with the target application, and using the second association information as the target association information.

[0056] Specifically, the following method can be used to determine the relevant information corresponding to the target application from the information association table: SELECT business domain, business component, business object, entity, activity, task group, task, value stream FROM information association table WHERE system name = application name; Figure 6 Then, the second association information is used as the target association information.

[0057] It is understandable that the business and information scope of the application and information association table is defined from the perspective of system application, and the information association table is linked to the application, that is, the data association software, so that the association relationship between the application and the information association table is clear at a glance.

[0058] Another optional method is to perform data analysis on the information association table to obtain target association information, including: clustering the information association table according to the architecture element to obtain third association information, and using the third association information as the target association information. Specifically, multiple information association tables are clustered with a specific architecture element respectively to obtain fields in different information association tables corresponding to the same architecture element. For example, the same entity objects, components, etc. in each information association table can be filtered, SELECT table name, field name FROM information association table WHERE entity = entity 1, and the fields of different association information tables corresponding to the same entity object, component, etc. architecture elements are obtained as the third association information, and then the third association information is used as the target association information.

[0059] It is understandable that for the same entity objects, components and other architectural elements, when filtering from the information association table, the same objects should contain similar field column values. For example, the enumeration values ​​corresponding to different fields of the same object should have inclusion or equality intersection relationships, so that governance rule exploration can be carried out.

[0060] The technical solution of the embodiment of the present invention is to obtain a business data table; the business data table includes at least one of technical metadata, business metadata and operational metadata; the business data table, enterprise architecture information and business system are associated based on the big model to obtain an information association table; wherein the enterprise architecture information includes at least one architecture element of business domain, business component, business object, business entity, business activity, business task group, business task and business value stream; data analysis is performed on the information association table to obtain target association information. The above technical solution can associate business data with other data management system applications, and can also associate business data tables with business architecture blueprints, thereby facilitating the deployment of data governance detection indicators to improve data quality.

[0061] Figure 7 1 is a schematic diagram of the structure of a data processing device provided according to an embodiment of the present invention. This embodiment can be applied to the situation of how to link massive business management data with enterprise architecture data, and is particularly applicable to the situation of how to link massive business management data with enterprise architecture data for data governance in financial business scenarios. The device can be implemented in the form of hardware and / or software, and the device can be configured in an electronic device that carries data processing functions, such as a server. Figure 7 As shown, the device comprises:

[0062] The business data table acquisition module 310 is used to acquire a business data table; the business data table includes at least one of technical metadata, business metadata and operation metadata;

[0063] An information association table determination module 320 is used to associate the business data table, the enterprise architecture information and the business system based on the big model to obtain an information association table; wherein the enterprise architecture information includes at least one architecture element of a business domain, a business component, a business object, a business entity, a business activity, a business task group, a business task and a business value stream;

[0064] The associated information determination module 330 is used to perform data analysis on the information association table to obtain target associated information.

[0065] The technical solution of the embodiment of the present invention is to obtain a business data table; the business data table includes at least one of technical metadata, business metadata and operational metadata; the business data table, enterprise architecture information and business system are associated based on the big model to obtain an information association table; wherein the enterprise architecture information includes at least one architecture element of business domain, business component, business object, business entity, business activity, business task group, business task and business value stream; data analysis is performed on the information association table to obtain target association information. The above technical solution can associate business data with other data management system applications, and can also associate business data tables with business architecture blueprints, thereby facilitating the deployment of data governance detection indicators to improve data quality.

[0066] Optionally, the associated information determination module 330 is specifically used to:

[0067] Associating and classifying the table fields in the information association table to obtain the architecture elements to which the table fields belong;

[0068] A graph is drawn according to the table fields and the architecture elements to which the table fields belong, to obtain a first association graph, and the first association graph is used as target association information.

[0069] Optionally, the associated information determination module 330 is specifically used to:

[0070] Determine the relevant information corresponding to the target application from the information association table, obtain second association information associated with the target application, and use the second association information as the target association information.

[0071] Optionally, the associated information determination module 330 is specifically used to:

[0072] The information association table is clustered according to the architecture elements to obtain third association information, and the third association information is used as target association information.

[0073] Optionally, the business data table acquisition module 310 is specifically used for:

[0074] In response to a trigger operation on the edit button, a business data table is obtained.

[0075] Optionally, the device further comprises a display module, which is used for:

[0076] The target-related information is displayed in the form of target display.

[0077] The data processing device provided in the embodiment of the present invention can execute the data processing method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0078] According to an embodiment of the present invention, the present invention also provides an electronic device, a readable storage medium and a computer program product.

[0079] Figure 8 is a schematic diagram of the structure of an electronic device for implementing the data processing method according to an embodiment of the present invention; Figure 8 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0080] like Figure 8 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0081] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0082] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as a data processing method.

[0083] In some embodiments, the data processing method may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the data processing method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the data processing method in any other appropriate manner (e.g., by means of firmware).

[0084] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0085] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0086] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0087] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0088] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0089] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0090] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0091] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A data processing method, characterized in that: include: Acquire a business data table; the business data table includes at least one of technical metadata, business metadata, and operation metadata; Based on the big model, the business data table, the enterprise architecture information and the business system are associated to obtain an information association table; wherein the enterprise architecture information includes at least one architecture element of a business domain, a business component, a business object, a business entity, a business activity, a business task group, a business task and a business value stream; Data analysis is performed on the information association table to obtain target association information.

2. The method according to claim 1, characterized in that Perform data analysis on the information association table to obtain target association information, including: Associating and classifying the table fields in the information association table to obtain the architecture elements to which the table fields belong; A graph is drawn according to the table fields and the architecture elements to which the table fields belong to obtain a first association graph, and the first association graph is used as target association information.

3. The method according to claim 1, characterized in that Perform data analysis on the information association table to obtain target association information, including: Determine the relevant information corresponding to the target application from the information association table, obtain second association information associated with the target application, and use the second association information as the target association information.

4. The method according to claim 1, characterized in that: Perform data analysis on the information association table to obtain target association information, including: The information association table is clustered according to the architecture elements to obtain third association information, and the third association information is used as target association information.

5. The method according to claim 1, characterized in that Get business data tables, including: In response to a trigger operation on the edit button, a business data table is obtained.

6. The method according to any one of claims 1 to 5, characterized in that Also includes: The target-related information is displayed in a target display form.

7. A data processing device, characterized in that: include: A business data table acquisition module is used to acquire a business data table; The business data table includes at least one of technical metadata, business metadata and operation metadata; An information association table determination module is used to associate the business data table, enterprise architecture information and business system based on the big model to obtain an information association table; wherein the enterprise architecture information includes at least one architecture element of business domain, business component, business object, business entity, business activity, business task group, business task and business value stream; The associated information determination module is used to perform data analysis on the information association table to obtain target associated information.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can perform the data processing method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the data processing method according to any one of claims 1 to 6 when executed.

10. A computer program product, characterized in that The computer program product comprises a computer program, which, when executed by a processor, implements the data processing method according to any one of claims 1 to 6.

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