CN110807036A - Associated data network construction method and device - Google Patents
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Abstract
The invention provides a method and a device for constructing a related data network, and relates to the technical field of network construction. The associated data network construction method comprises the following steps: performing relevance analysis on the at least two service data tables to obtain the relevance relation and the relevance mode between the at least two service data tables; building a data market width table for the at least two service data tables according to the incidence relation and the incidence mode between the at least two service data tables; combining the data mart width table to construct at least two sub-networks corresponding to at least two service data tables; and associating at least two sub-networks through a common node to construct an associated data network. The method and the device for constructing the associated data network can construct at least two sub-networks corresponding to the business data table, and perform association through common nodes of the sub-networks to construct the associated data network, so that the method and the device are beneficial to sharing information in each sub-network, and the query efficiency is improved.
Description
Technical Field
The present invention relates to the field of network construction technologies, and in particular, to a method and an apparatus for constructing an associated data network.
Background
At present, in the operation process of companies in various industries, various data are generated and stored in different networks of different departments, and a network established by one department only contains data related to the business of the department and is only used in the department, but data sharing among the departments cannot be performed through the network, and the data are usually printed and shared among the departments, so that efficiency is low when data inquiry is performed among the departments.
Disclosure of Invention
In view of the above, the present invention provides a method and an apparatus for constructing a relational data network, so as to solve the technical problem that a door and window design cannot be performed by opening the wall.
In a first aspect, an embodiment of the present invention provides a method for constructing an associated data network, where the method includes the following steps:
performing relevance analysis on at least two service data tables to obtain the relevance relation and the relevance mode between the at least two service data tables;
building a data market width table for the at least two service data tables according to the incidence relation and the incidence mode between the at least two service data tables;
combining the data mart width table to construct at least two sub-networks corresponding to the at least two service data tables;
associating the at least two sub-networks through a common node to construct an associated data network; wherein the data mart width table is sharable between the at least two subnetworks of the associated data network.
With reference to the first aspect, an embodiment of the present invention provides a first possible implementation manner of the first aspect, where before the step of performing association analysis on at least two service data tables to obtain an association relationship and an association manner between the at least two service data tables, the method further includes:
preprocessing at least two original service data tables, removing dirty data or supplementing missing data in the original service data tables, and acquiring at least two service data tables; wherein the at least two original service data tables are created based on at least two original customer data, and the dirty data is error data or scrambled data in the at least two original service data tables.
With reference to the first aspect, an embodiment of the present invention provides a second possible implementation manner of the first aspect, where the step of constructing at least two subnets corresponding to the at least two service data tables with reference to the data mart width table includes:
determining a category of the at least two integrated business data tables in the data mart broad table;
and constructing at least two sub-networks with corresponding quantity and corresponding functions according to the types of the at least two integrated service data tables.
With reference to the first aspect, an embodiment of the present invention provides a third possible implementation manner of the first aspect, where the step of associating the at least two subnetworks through a common node to construct an associated data network includes:
acquiring function information of all nodes of each of the at least two sub-networks;
respectively acquiring one or more common nodes of two sub-networks in the at least two sub-networks, wherein the two common nodes have the same function information;
associating the at least two sub-networks by one or more common nodes having the same functional information, building an associated data network.
With reference to the first aspect, an embodiment of the present invention provides a third possible implementation manner of the first aspect, where the association relationship is a one-to-one relationship, a one-to-many relationship, or a many-to-many relationship;
the association mode is inner association, left outer association or full outer association.
In a second aspect, an embodiment of the present invention further provides an associated data network constructing apparatus, where the apparatus includes:
the system comprises a correlation analysis module, a correlation analysis module and a correlation analysis module, wherein the correlation analysis module is used for performing correlation analysis on at least two service data tables to acquire a correlation relation and a correlation mode between the at least two service data tables;
the data mart width table building module is used for building data mart width tables for the at least two service data tables according to the incidence relation and the incidence mode between the at least two service data tables;
the sub-network association module is used for combining the data mart width table to construct at least two sub-networks corresponding to the at least two service data tables;
the network construction module is used for associating the at least two sub-networks through a common node to construct an associated data network; wherein the data mart width table is sharable between the at least two subnetworks of the associated data network.
With reference to the second aspect, an embodiment of the present invention provides a first possible implementation manner of the second aspect, where the sub-network association module is configured to:
determining a category of the at least two integrated business data tables in the data mart broad table;
and constructing at least two sub-networks with corresponding quantity and corresponding functions according to the types of the at least two integrated service data tables.
With reference to the second aspect, an embodiment of the present invention provides a second possible implementation manner of the second aspect, where the network construction module is configured to:
acquiring function information of all nodes of each of the at least two sub-networks;
respectively acquiring one or more common nodes of two sub-networks in the at least two sub-networks, wherein the two common nodes have the same function information;
associating the at least two sub-networks by one or more common nodes having the same functional information, building an associated data network.
In a third aspect, an embodiment of the present invention further provides a server, where the server includes: a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the method described above.
In a fourth aspect, embodiments of the present invention also provide a computer-readable storage medium storing computer-executable instructions that, when invoked and executed by a processor, cause the processor to implement the method described above.
The embodiment of the invention has the following beneficial effects: according to the method and the device for constructing the associated data network, the association relation and the association mode between at least two service data tables are obtained, and the data mart broad table is constructed according to the association relation and the association mode. The method and the device for constructing the associated data network can construct at least two sub-networks corresponding to the business data table, and perform association through common nodes of the sub-networks to construct the associated data network, so that the method and the device are beneficial to sharing information in each sub-network, and the query efficiency is improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
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, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for constructing an associated data network according to an embodiment of the present invention;
fig. 2 is a flowchart of another associated data network construction method according to an embodiment of the present invention;
fig. 3 is a block diagram of an associated data network construction apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a server according to an embodiment 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 of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. 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.
At present, in the operation process of companies in various industries, various data are generated and stored in different networks of different departments, and a network established by one department only contains data related to the business of the department and is only used in the department, but data sharing among the departments cannot be performed through the network, and the data are usually printed and shared among the departments, so that efficiency is low when data inquiry is performed among the departments. Based on this, embodiments of the present invention provide a method and an apparatus for constructing an associated data network, so as to alleviate the above problem.
In order to facilitate understanding of the embodiment, a detailed description is first given of a method for constructing an associated data network disclosed in the embodiment of the present invention.
In one possible embodiment, the invention provides a method for constructing an associated data network. Fig. 1 is a flowchart of a method for constructing an associated data network according to an embodiment of the present invention, where the method includes the following steps:
step S102: and performing relevance analysis on at least two service data tables to obtain the relevance relation and the relevance mode between the at least two service data tables.
Step S104: and building a data market width table for the at least two service data tables according to the incidence relation and the incidence mode between the at least two service data tables.
Step S106: and combining the data mart width table to construct at least two sub-networks corresponding to the at least two service data tables.
Step S108: associating the at least two sub-networks through a common node to construct an associated data network; wherein the data mart width table is sharable between the at least two subnetworks of the associated data network.
Wherein the data mart width table is sharable between the at least two subnetworks of the associated data network.
The embodiment of the invention has the following beneficial effects: according to the embodiment of the invention, through a method for constructing the associated data network, the association relation and the association mode between at least two service data tables are firstly obtained, and the data market width table is constructed according to the association relation and the association mode. The method and the device for constructing the associated data network can construct at least two sub-networks corresponding to the business data table, and perform association through common nodes of the sub-networks to construct the associated data network, so that the method and the device are beneficial to sharing information in each sub-network, and the query efficiency is improved.
The embodiment of the invention takes bank retail business as an example, and establishes the associated network based on the respective network of each department in the bank in the global angle of the retail business. In the process of bank retail business, various customer data can be stored, and the embodiment of the present invention takes four customer data as an example for explanation, where the four customer data are respectively: (1) basic information data of customers such as identity cards, names, mobile phone numbers, bank cards and the like; (2) applying for various service loan information data such as orders, replies, contracts, borrows and the like; (3) transferring account transaction information between bank cards; and (4) credit card application and card swipe transaction information. The four customer data respectively correspond to four networks, namely a customer basic information network, an application network, a fund transaction network, a credit card network and the like. And constructing an associated data network of the bank retail business by associating the four networks.
It should be further explained that the method for constructing the associated data network in the embodiment of the present invention is not limited to construct the associated data network for each network of each department in a bank, but may also be used to construct the associated data network for each network of each department in other industries (insurance industry, building industry, etc.), and the embodiment of the present invention does not limit this.
In actual use, in the process of actually performing associated data network construction, initially acquired data is an original service data table, which needs to be preprocessed to acquire a service data table, and in order to describe the process of acquiring the service data table and the subsequent processes of constructing at least two sub-networks corresponding to at least two service data tables and constructing an associated data network in more detail, an embodiment of the present invention is shown in fig. 2 as a flowchart of another associated data network construction method provided by the embodiment of the present invention, which includes the following steps:
step S202: preprocessing at least two original service data tables, removing dirty data or supplementing missing data in the original service data tables, and acquiring at least two service data tables.
Wherein the at least two original service data tables are created based on at least two original customer data, and the dirty data is error data or scrambled data in the at least two original service data tables.
Further, the preprocessing operation mainly comprises: (1) arranging a data dictionary and code values, wherein the data dictionary refers to the mapping relation between each original service data table and the Chinese remarks, and the code values refer to service meanings corresponding to each coding value of the type fields; (2) analyzing and processing data quality, wherein main analysis and processing objects are field missing values, single rate, distribution and the like; (3) and (4) performing data table time statistic analysis, wherein the main analysis processing objects are the time span of the original service data table, and the analysis of the application amount and the transaction amount related in the original service data table.
Step S204: and performing relevance analysis on at least two service data tables to obtain the relevance relation and the relevance mode between the at least two service data tables.
The main purpose of analyzing the relevance of the at least two service data tables is to obtain the relevance relationship and the relevance mode between the at least two service data tables, but the method also has other purposes, for example, quantifying the relevance condition in the middle of the service data tables and calculating the relevance ratio so as to deeply understand the service logic.
Further, the association analysis of the at least two service data tables is mainly performed by combing the association keys between the service data tables, determining the association relationship (one-to-one relationship, one-to-many relationship, many-to-many relationship) and the association manner (inner association, left outer association, full outer association) between the association keys of the service data tables to finally obtain the association relationship and the association manner between the at least two service data tables, and finally outputting an association analysis report.
Step S206: and building a data market width table for the at least two service data tables according to the incidence relation and the incidence mode between the at least two service data tables.
The main purpose of the operation of building the data mart broad table is to integrate scattered data together to prepare for constructing a related data network subsequently.
It should be further noted that, in the embodiment of the present invention, building the data mart width table is performed from a service global perspective, for example, when building the data mart width table, all data belonging to the service departments under the service are collected together to build the data mart width table, so that the built data mart width table can be shared by the service departments under the service.
Step S208: determining a category of the at least two aggregated business data tables in the data mart wide table.
Step S210: and constructing at least two sub-networks with corresponding quantity and corresponding functions according to the types of the at least two integrated service data tables.
Step S212: obtaining functional information of all nodes of each of the at least two sub-networks.
Step S214: one or more common nodes of two of the at least two sub-networks having the same function information are respectively obtained.
Wherein all sub-networks are connected by one or more common nodes of two of the at least two sub-networks having the same functional information, such that data in all sub-networks can be shared across the networks, which facilitates queries across all sub-networks.
Step S216: associating the at least two sub-networks by one or more common nodes having the same functional information, building an associated data network.
The operation of constructing the associated data network is also performed from a global service perspective, and the essence is to plan nodes of each sub-network and analyze functional information of the nodes.
In summary, according to the method for constructing the association data network of the present invention, when the user is in a sitting posture state, the association relationship and the association manner between at least two service data tables are obtained first, and the data mart broad table is constructed according to the association relationship and the association manner. The method and the device for constructing the associated data network can construct at least two sub-networks corresponding to the business data table, and perform association through common nodes of the sub-networks to construct the associated data network, so that the method and the device are beneficial to sharing information in each sub-network, and the query efficiency is improved.
In another possible implementation manner, corresponding to the associated data network construction method provided in the foregoing implementation manner, an embodiment of the present invention further provides an associated data network construction device, and fig. 3 is a block diagram of a structure of an associated data network construction device provided in an embodiment of the present invention. As shown in fig. 3, the apparatus includes:
the relevance analysis module 301 is configured to perform relevance analysis on at least two service data tables to obtain a relevance relationship and a relevance mode between the at least two service data tables;
a data mart width table building module 302, configured to build a data mart width table for the at least two service data tables according to the association relationship and the association manner between the at least two service data tables;
a sub-network association module 303, configured to construct at least two sub-networks corresponding to the at least two service data tables by combining the data mart width table;
a network constructing module 304, configured to associate the at least two sub-networks through a common node to construct an associated data network.
Wherein the data mart width table is sharable between the at least two subnetworks of the associated data network.
In practical use, the sub-network association module 303 is configured to:
determining a category of the at least two integrated business data tables in the data mart broad table;
and constructing at least two sub-networks with corresponding quantity and corresponding functions according to the types of the at least two integrated service data tables.
In actual use, the network construction module 304 is configured to:
respectively acquiring one or more common nodes of two sub-networks in the at least two sub-networks, wherein the two common nodes have the same function information;
associating the at least two sub-networks by one or more common nodes having the same functional information, building an associated data network.
In yet another possible implementation manner, an embodiment of the present invention further provides a server, and fig. 4 shows a schematic structural diagram of the server provided in the embodiment of the present invention, and referring to fig. 4, the server includes: a processor 400, a memory 401, a data bus 402 and a communication interface 403, wherein the processor 400, the memory 401, the communication interface 403 are connected through the data bus 402; the processor 400 is used to execute executable modules, such as computer programs, stored in the memory 401.
Wherein the memory 401 stores computer-executable instructions that can be executed by the processor 400, the processor 400 executes the computer-executable instructions to implement the methods described above.
Further, the memory 401 may include a high-speed Random Access Memory (RAM) and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 403 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like can be used.
The data bus 402 may be an ISA data bus, a PCI data bus, or an EISA data bus, among others. The data bus may be divided into an address data bus, a data bus, a control data bus, etc. For ease of illustration, only one double-headed arrow is shown in fig. 4, but this does not indicate only one data bus or one type of data bus.
The memory 401 is used for storing a program, and the processor 400 executes the program after receiving a program execution instruction, and the method for constructing an associated data network disclosed in any embodiment of the present invention may be applied to the processor 400, or implemented by the processor 400.
Further, processor 400 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 400. The processor 400 may be a general-purpose processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 401, and the processor 400 reads the information in the memory 401 and completes the steps of the method in combination with the hardware.
In yet another possible implementation, the embodiment of the present invention further provides a computer-readable storage medium storing computer-executable instructions, which, when invoked and executed by a processor, cause the processor to implement the method described above.
The associated data network construction device provided by the embodiment of the invention has the same technical characteristics as the associated data network construction method provided by the embodiment, so that the same technical problems can be solved, and the same technical effects can be achieved.
The computer program product of the method and the apparatus for constructing an associated data network according to the embodiments of the present invention includes a computer-readable storage medium storing a program code, where instructions included in the program code may be used to execute the method described in the foregoing method embodiments, and specific implementation may refer to the method embodiments, and will not be described herein again.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method embodiment, and is not described herein again.
In addition, in the description of the embodiments of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood in specific cases for those skilled in the art.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a ReaD-only Memory (ROM), a RanDom Access Memory (RAM), a magnetic disk, or an optical disk.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that the following embodiments are merely illustrative of the present invention, and not restrictive, and the scope of the present invention is not limited thereto: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A method for constructing a relational data network, the method comprising the steps of:
performing relevance analysis on at least two service data tables to obtain the relevance relation and the relevance mode between the at least two service data tables;
building a data market width table for the at least two service data tables according to the incidence relation and the incidence mode between the at least two service data tables;
combining the data mart width table to construct at least two sub-networks corresponding to the at least two service data tables;
associating the at least two sub-networks through a common node to construct an associated data network; wherein the data mart width table is sharable between the at least two subnetworks of the associated data network.
2. The method according to claim 1, wherein before the step of performing the association analysis on the at least two service data tables to obtain the association relationship and the association manner between the at least two service data tables, the method further comprises:
preprocessing at least two original service data tables, removing dirty data or supplementing missing data in the original service data tables, and acquiring at least two service data tables; wherein the at least two original service data tables are created based on at least two original customer data, and the dirty data is error data or scrambled data in the at least two original service data tables.
3. The method of claim 1, wherein the step of building at least two sub-networks corresponding to the at least two types of service data tables in combination with the data mart wide table comprises:
determining a category of the at least two integrated business data tables in the data mart broad table;
and constructing at least two sub-networks with corresponding quantity and corresponding functions according to the types of the at least two integrated service data tables.
4. The method of claim 1, wherein the step of associating the at least two sub-networks via a common node to construct an associated data network comprises:
acquiring function information of all nodes of each of the at least two sub-networks;
respectively acquiring one or more common nodes of two sub-networks in the at least two sub-networks, wherein the two common nodes have the same function information;
associating the at least two sub-networks by one or more common nodes having the same functional information, building an associated data network.
5. The method of claim 1, wherein the associative relationship is a one-to-one relationship, a one-to-many relationship, or a many-to-many relationship;
the association mode is inner association, left outer association or full outer association.
6. An associated data network construction apparatus, the apparatus comprising:
the system comprises a correlation analysis module, a correlation analysis module and a correlation analysis module, wherein the correlation analysis module is used for performing correlation analysis on at least two service data tables to acquire a correlation relation and a correlation mode between the at least two service data tables;
the data mart width table building module is used for building data mart width tables for the at least two service data tables according to the incidence relation and the incidence mode between the at least two service data tables;
the sub-network association module is used for combining the data mart width table to construct at least two sub-networks corresponding to the at least two service data tables;
the network construction module is used for associating the at least two sub-networks through a common node to construct an associated data network; wherein the data mart width table is sharable between the at least two subnetworks of the associated data network.
7. The apparatus of claim 6, wherein the sub-network association module is configured to:
determining a category of the at least two integrated business data tables in the data mart broad table;
and constructing at least two sub-networks with corresponding quantity and corresponding functions according to the types of the at least two integrated service data tables.
8. The apparatus of claim 6, wherein the network construction module is configured to obtain functional information of all nodes of each of the at least two sub-networks;
respectively acquiring one or more common nodes of two sub-networks in the at least two sub-networks, wherein the two common nodes have the same function information;
associating the at least two sub-networks by one or more common nodes having the same functional information, building an associated data network.
9. A server comprising a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the method of any one of claims 1 to 4.
10. A computer-readable storage medium having stored thereon computer-executable instructions that, when invoked and executed by a processor, cause the processor to implement the method of any of claims 1 to 4.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113506113A (en) * | 2021-06-02 | 2021-10-15 | 北京顶象技术有限公司 | Credit card cash-registering group-partner mining method and system based on associated network |
| CN113779017A (en) * | 2020-07-30 | 2021-12-10 | 北京沃东天骏信息技术有限公司 | Method and apparatus for data asset management |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113779017A (en) * | 2020-07-30 | 2021-12-10 | 北京沃东天骏信息技术有限公司 | Method and apparatus for data asset management |
| CN113506113A (en) * | 2021-06-02 | 2021-10-15 | 北京顶象技术有限公司 | Credit card cash-registering group-partner mining method and system based on associated network |
| CN113506113B (en) * | 2021-06-02 | 2022-02-11 | 北京顶象技术有限公司 | Credit card cash-registering group-partner mining method and system based on associated network |
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