CN117009353A - Financial big data information storage method and equipment based on cloud platform - Google Patents
Financial big data information storage method and equipment based on cloud platform Download PDFInfo
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- CN117009353A CN117009353A CN202310941136.1A CN202310941136A CN117009353A CN 117009353 A CN117009353 A CN 117009353A CN 202310941136 A CN202310941136 A CN 202310941136A CN 117009353 A CN117009353 A CN 117009353A
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- 238000012545 processing Methods 0.000 claims abstract description 15
- 238000012795 verification Methods 0.000 claims description 16
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- 238000012797 qualification Methods 0.000 claims description 9
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2228—Indexing structures
- G06F16/2246—Trees, e.g. B+trees
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The application provides a financial big data information storage method based on a cloud platform, and relates to the technical field of information storage; collecting and classifying financial big data, generating financial classification data, establishing a cloud financial database tree, and generating node financial data; processing node financial data to generate a virtual financial database tree, setting a virtual storage platform, generating a virtual access identification database according to the virtual financial database tree, logging in the virtual storage platform according to the virtual access identification database, acquiring a latest virtual access account number data set if logging in is successful, judging whether virtual manager data of a virtual five-level storage node are acquired according to the latest virtual access account number data set, acquiring an actual access account number data set if the virtual manager data are acquired, acquiring access rights according to the actual access account number data set, and inquiring financial big data according to the access rights; and the security of storage and access is enhanced.
Description
Technical Field
The application relates to the technical field of information storage, in particular to a financial big data information storage method and equipment based on a cloud platform.
Background
The cloud platform is the basis for collecting and classifying extremely large quantity and completeness big data, the intensive cloud computing is the main technical means for processing and processing the extremely large quantity and completeness big data, and the storage of the information of the financial big data is required to be based on the cloud platform at present, so that the functions of collecting, analyzing, storing safety, backup and the like of the financial big data can be realized;
in the prior art, a user terminal logs in and inquires financial big data, directly acquires login verification codes according to registration information, further acquires access rights, cannot check illegal access users, cannot better protect the financial big data, and if the access rights acquired by the users are too simple, illegal users can take advantage of the financial big data organically, so that the financial big data can be better protected, and the storage and the viewing are more convenient, and the cloud platform-based financial big data information storage method and equipment are provided.
Disclosure of Invention
In order to solve the technical problems, the application provides a financial big data information storage method and equipment based on a cloud platform;
the aim of the application can be achieved by the following technical scheme: a financial big data information storage method based on a cloud platform, the method comprising the following steps:
step one: collecting financial big data, carrying out personalized classification on the financial big data to obtain a classification result, and generating financial classification data according to the classification result;
step two: establishing a cloud financial database tree, storing financial classification big data in the cloud financial database tree, and generating node financial data;
step three: processing node financial data, generating a virtual financial database tree according to a processing result, setting a virtual storage platform, and generating a virtual access identification database according to the virtual financial database tree;
step four: logging in the virtual storage platform according to the virtual access identification database, and if the login is successful, obtaining the latest virtual access account number data set;
step five: judging whether to obtain virtual manager data of the virtual five-level storage node according to the latest virtual access account number data set, and if so, obtaining a real access account number data set;
step six: acquiring manager data corresponding to the five-level storage nodes according to the actual access account data set, and acquiring access rights according to the manager data;
step seven: and inquiring the financial big data according to the access rights.
Further, the financial big data includes financial data, market data, macro-economic data, financial institution data, and consumer financial data; according to the personalized classification, correspondingly classifying the financial big data into financial classification data;
the financial classification data includes financial classification data, market classification data, macro-economic classification data, financial institution classification data, and consumer financial classification data;
the financial classification data includes financial statements, financial reports, financial indicators, and financial analyses;
the market classification data comprises stock prices, trade amounts, market analysis and investment risks;
the macro-economic classification data includes GDP, CPI, exchange rate, and trade amount;
the financial institution classification data includes an asset liability statement, an asset investment statement, a revenue analysis, and a customer analysis;
the consumer financial classification data includes consumer credit reports, consumer credit records, and consumer financial behaviors;
the financial big data comprises financial classification data, financial personalized keyword data and manager data;
the personalized keywords comprise finance, index, report, stock, economy, investment and consumer;
extracting personalized keywords of the financial classification data, reclassifying the financial classification data according to the personalized keywords, and obtaining financial personalized keyword data according to classification results;
setting corresponding administrators for the finance personalized keyword data, and acquiring the administrator data.
Further, the establishing process of the cloud financial database tree comprises the following steps:
the cloud financial database tree is generated by a plurality of branches and leaves, and the two leaves are connected by one branch;
marking leaves as storage nodes, wherein the cloud financial database tree comprises a first-level storage node, a second-level storage node and an n-level storage node; the n-level storage nodes comprise a plurality of storage nodes, wherein n represents the nth level of the storage nodes in the cloud financial database tree.
Further, the generating process of the node financial data includes:
correspondingly storing financial big data, financial classification data, financial personalized keyword data and manager data in a primary storage node, a secondary storage node, a tertiary storage node, a quaternary storage node and a fifth storage node respectively;
marking personalized keywords with the largest number of personalized keywords appearing in the financial classification data in the three-level storage nodes as personalized keywords of the financial classification data, and connecting the storage nodes corresponding to the financial classification data to the financial personalized keyword data storage nodes corresponding to the four-level storage nodes according to the personalized keywords so as to obtain the four-level storage nodes;
setting corresponding administrators according to storage nodes of the four-level storage nodes for storing financial personalized keyword data, marking the administrators, and respectively marking the administrators as administrator 1, administrator 2 and administrator k, wherein k is a positive integer and represents the number of the storage nodes of the four-level storage nodes;
the manager data is used for managing the four-level storage nodes;
setting corresponding access rights to the four-level storage node by an administrator, wherein the access rights comprise an access name, an access account and an access responsibility, generating a corresponding access rights library, and storing the access rights library in administrator data corresponding to the five-level storage node;
and generating node financial data by the primary storage node, the secondary storage node, the tertiary storage node, the quaternary storage node and the fifth storage node.
Further, the generating process of the virtual access identification database includes:
setting corresponding access rights to the four-level storage node by an administrator, wherein the access rights comprise an access name, an access account and an access responsibility, generating a corresponding access rights library, and storing the access rights library in administrator data corresponding to the five-level storage node;
setting a virtual storage library on a cloud platform, connecting a cloud financial database tree in a wireless communication mode, mapping and reflecting manager data corresponding to five-level storage nodes to the virtual storage library, generating virtual manager data corresponding to the virtual five-level storage nodes, setting a corresponding virtual key for the virtual manager data, further storing the virtual key in a next-level storage node of the virtual five-level storage nodes, generating a virtual six-level storage node, and generating a virtual management data tree by the virtual five-level storage nodes and the virtual six-level storage node.
Setting a virtual storage platform on a cloud platform, sending a virtual storage library to the virtual storage platform, and setting a plurality of virtual access identifiers on the virtual storage platform by a management terminal to generate a virtual access identifier database, wherein the virtual access identifiers are unique identification identifiers for the user terminal to access the virtual storage platform.
Further, the obtaining process of the latest virtual access account number data set includes:
setting an access interface for accessing the virtual storage platform at a user terminal, registering a name and an account number of the user terminal, generating a virtual access account number database, transmitting the virtual access account number database to the virtual storage platform for storage, receiving the login request by the user terminal by taking the registered name and the account number as login requests, searching the login request according to the virtual access account number database, and generating an alarm signal for refusing the login request and transmitting the alarm signal to the user terminal if the registered name and the account number are not searched;
the access interface sets a name and an account number;
if the registration name and the account number are retrieved, the virtual storage platform randomly sends a virtual access identifier to the user terminal, receives the virtual access identifier, logs in, and successfully logs in, and eliminates the name corresponding to the account number in the virtual access account number database, stores the virtual access identifier in the virtual access account number database, and generates a latest virtual access account number data set; logging in again if the login fails;
the latest virtual access account number data set identifier is { account number, virtual access identifier }.
Further, the process of obtaining the actual access account data set includes:
the management terminal sets a verification account qualification system, wherein the verification account qualification system comprises a verification account length and a verification account standard;
transmitting the account number in the latest virtual access account number data set to a verification account number qualification system, if the account number is reasonable, comparing the virtual access identifier with a virtual access identifier database, if the account number is reasonable, transmitting a corresponding virtual key to a user terminal, acquiring virtual manager data corresponding to a virtual five-level storage node according to the corresponding virtual key, and generating a reasonable virtual access account number data set from the latest virtual access account number data set; if not, not performing any operation; if not, generating an abnormal virtual access account data set;
setting an access channel, wherein the access channel comprises an upper access channel and a lower access channel, and the upper access channel is used for transmitting reasonable virtual access account data; the lower access channel is used for transmitting an abnormal virtual access account data set;
and transmitting the reasonable virtual access account number data set to a cloud financial database tree through an upper access channel, and generating a real access account number data set.
Further, the access right obtaining process includes:
comparing the actual access account number data set with the access account numbers in the access authority library in the manager data corresponding to the five-level storage node, judging whether the account numbers exist in the access authority library, if so, obtaining the corresponding access names and access responsibilities, further transmitting the account numbers, the access names and the access responsibilities to the user terminal, and obtaining the access authority of the four-level storage node for storing the financial personalized keyword data when the user terminal receives the account numbers, the access names and the access responsibilities; if not, access rights cannot be obtained.
Further, when the user terminal receives the account number, the access name and the access responsibility, the login interface is obtained again, the account number, the access name and the access responsibility are input, and then the financial big data is checked.
Further, the device is characterized by comprising a user terminal, a management terminal and a cloud platform, wherein the cloud platform is in wireless communication connection with the user terminal and the management terminal.
Compared with the prior art, the application has the beneficial effects that:
1. collecting financial big data, classifying, generating financial classified data, establishing a cloud financial database tree, and generating node financial data; the storage space for storing the financial big data is increased, the financial big data is stored on storage nodes of different grades of the cloud financial database tree, so that the financial big data is stored conveniently, and the financial data can be classified.
2. Processing node financial data to generate a virtual financial database tree, setting a virtual storage platform, generating a virtual access identification database according to the virtual financial database tree, logging in the virtual storage platform according to the virtual access identification database, acquiring a latest virtual access account number data set if logging in is successful, judging whether virtual manager data of a virtual five-level storage node are acquired according to the latest virtual access account number data set, acquiring an actual access account number data set if the virtual manager data are acquired, acquiring access rights according to the actual access account number data set, and inquiring financial big data according to the access rights; the virtual access account number data set cannot directly access the financial big data stored in the cloud financial database tree, the user terminal cannot directly obtain the authority for accessing the financial big data, the user terminal can access the financial big data only after obtaining the access authority, the user terminal is better prevented from directly registering and logging in to obtain the financial big data, the difficulty of acquiring the authority is enhanced, and the theft risk is prevented.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments described in the present application, and other drawings may be obtained according to these drawings for those skilled in the art.
FIG. 1 is a flow chart of the present application.
Detailed Description
As shown in fig. 1, a method for storing financial big data information based on a cloud platform includes the following steps:
step one: collecting financial big data, carrying out personalized classification on the financial big data, and generating financial classified big data according to classification results;
the financial big data includes financial data, market data, macro-economic data, financial institution data, and consumer financial data; according to the personalized classification, correspondingly classifying the financial big data into financial classification data;
the financial classification data includes financial classification data, market classification data, macro-economic classification data, financial institution classification data, and consumer financial classification data;
the financial classification data includes financial statements, financial reports, financial indicators, and financial analyses;
the market classification data comprises stock prices, trade amounts, market analysis and investment risks;
the macro-economic classification data includes GDP, CPI, exchange rate, and trade amount;
the financial institution classification data includes an asset liability statement, an asset investment statement, a revenue analysis, and a customer analysis;
the consumer financial classification data includes consumer credit reports, consumer credit records, and consumer financial behaviors;
extracting personalized keywords of the financial classification data, reclassifying the financial classification data according to the personalized keywords, and obtaining financial personalized keyword data according to classification results;
the personalized keywords comprise finance, index, report, stock, economy, investment and consumer;
setting corresponding administrators for the finance personalized keyword data, and acquiring the administrator data;
the financial classification big data includes financial big data, financial classification data, financial personalized keyword data, and administrator data.
Step two: establishing a cloud financial database tree, storing financial classification big data in the cloud financial database tree, and generating node financial data;
the cloud financial database tree is generated by a plurality of branches and leaves, and the two leaves are connected by one branch;
marking leaves as storage nodes, wherein the cloud financial database tree comprises a first-level storage node, a second-level storage node, and an n-level storage node, wherein n is a positive integer; representing that the storage node is at an nth level of a cloud financial database tree;
the n-level storage nodes comprise a plurality of storage nodes;
correspondingly storing financial classified big data, financial classified data, financial personalized keyword data and manager data in a primary storage node, a secondary storage node, a tertiary storage node, a quaternary storage node and a fifth storage node respectively;
generating node financial data by the primary storage node, the secondary storage node, the tertiary storage node, the quaternary storage node and the fifth storage node;
it should be further noted that, in the implementation process, the cloud financial database tree can be added branches and leaves in a wireless manner, and is used for storing large financial data, so that the storage space for storing large financial data is increased, the large financial data is stored on storage nodes of different grades of the cloud financial database tree, the storage of the financial data is facilitated, and classification processing can be performed on the financial data.
Step three: processing node financial data, and generating a virtual financial database tree according to a processing result;
the process for processing the financial personalized keyword data stored by the four-level storage node comprises the following steps:
classifying the three-level storage nodes according to personalized keywords set by the four-level storage nodes;
marking personalized keywords with the largest number of personalized keywords appearing in the financial classification data in the three-level storage nodes as personalized keywords of the financial classification data, and connecting the storage nodes corresponding to the financial classification data to the financial personalized keyword data storage nodes corresponding to the four-level storage nodes according to the personalized keywords so as to obtain the four-level storage nodes;
the method for processing the manager data stored in the five-level storage node comprises the following specific processing steps:
setting corresponding administrators according to storage nodes of the four-level storage nodes for storing financial personalized keyword data, marking the administrators, and respectively marking the administrators as administrator 1, administrator 2 and administrator k, wherein k is a positive integer and represents the number of the storage nodes of the four-level storage nodes;
the manager data is used for managing the four-level storage nodes;
setting corresponding access rights to the four-level storage node by an administrator, wherein the access rights comprise an access name, an access account and an access responsibility, generating a corresponding access rights library, and storing the access rights library in administrator data corresponding to the five-level storage node;
setting a virtual storage library on a cloud platform, connecting a cloud financial database tree in a wireless communication manner, mapping and reflecting manager data corresponding to five-level storage nodes to the virtual storage library, generating virtual manager data corresponding to the virtual five-level storage nodes, setting a corresponding virtual key for the virtual manager data, further storing the virtual key in a next-level storage node of the virtual five-level storage nodes, generating a virtual six-level storage node, and generating a virtual management data tree by the virtual five-level storage nodes and the virtual six-level storage node;
setting a virtual storage platform on a cloud platform, sending a virtual storage library to the virtual storage platform, and connecting the virtual storage library in a wireless communication manner, wherein the virtual storage platform is connected with a user terminal and a management terminal in a wireless communication manner through a server, the management terminal sets a plurality of virtual access identifiers on the virtual storage platform, and a virtual access identifier database is generated, wherein the virtual access identifiers are unique identification identifiers of the user terminal accessing the virtual storage platform;
step four: the user terminal logs in to the virtual storage platform according to the virtual access identifier, and if the login is successful, the user terminal obtains the latest virtual access account number data set;
setting an access interface for accessing a virtual storage platform at a user terminal, setting a name and an account number, registering the name and the account number by the user terminal, generating a virtual access account number database, sending the access account number database to the virtual storage platform for storage, sending the login request to the virtual storage platform by the user terminal by taking the registered name and the account number as login requests, receiving the login requests by the virtual storage platform, retrieving the login requests by the virtual storage platform according to the virtual access account number database, and if the registered name and the account number are not retrieved, generating a login request rejection alarm signal, sending the login rejection alarm signal to the user terminal, and sending a login rejection alarm signal for displaying in the user terminal;
if the registration name and the account number are retrieved, the virtual storage platform randomly sends a virtual access identifier to the user terminal, the user terminal logs in after receiving the virtual access identifier, the user terminal logs in successfully, names corresponding to the account number in the virtual access account number database are removed, the virtual access identifier is stored in the virtual access account number database, and a latest virtual access account number data set is generated;
the latest virtual access account number data set identifier is { account number, virtual access identifier }.
Step five: judging whether to obtain virtual manager data of the virtual five-level storage node according to the virtual key and the latest virtual access account number data set, and if so, sending the virtual manager data to a cloud financial database tree through an access channel;
the management terminal sets a verification account qualification system model, wherein the verification account qualification system model comprises verification account length and verification account requirements;
the method comprises the steps that a latest virtual access account number data set is sent to a management terminal, the latest virtual access account number data set is verified, accounts in the latest virtual access account number data set are sent to a verification account number qualification system model, if the latest virtual access account number data set is reasonable, whether a virtual access identifier changes is judged, the virtual access identifier is compared with a virtual access identifier database, if the latest virtual access identifier is the same as the virtual access identifier database, a corresponding virtual key is sent to a user terminal, the user terminal receives the virtual key, virtual manager data corresponding to a virtual five-level storage node are obtained according to the corresponding virtual key, and the latest virtual access account number data set is generated into a reasonable virtual access account number data set; if not, not performing any operation;
if not, generating an abnormal virtual access account number data set, and not comparing the virtual access identification with a virtual access identification database;
setting an access channel, wherein the access channel comprises an upper access channel and a lower access channel, and the upper access channel is used for transmitting reasonable virtual access account data; the lower access channel is used for transmitting an abnormal virtual access account data set;
and transmitting the reasonable virtual access account number data set to a cloud financial database tree through an upper access channel, and generating a real access account number data set.
Step six: acquiring manager data corresponding to the five-level storage nodes according to the actual access account data set, and acquiring access rights according to the manager data;
comparing the actual access account number data set with the access account numbers in the access authority library in the manager data corresponding to the five-level storage node, judging whether the account numbers exist in the access authority library, if so, obtaining the corresponding access names and access responsibilities, further transmitting the account numbers, the access names and the access responsibilities to the user terminal, and obtaining the access authority of the four-level storage node for storing the financial personalized keyword data when the user terminal receives the account numbers, the access names and the access responsibilities; if the access permission does not exist, the access permission cannot be obtained;
it should be further noted that, in the implementation process, the virtual access account data set cannot directly access the big financial data stored in the cloud financial database tree, the user terminal cannot directly obtain the authority for accessing the big financial data, so that the user terminal is better prevented from directly registering and logging in to obtain the authority for accessing the big financial data, and the risk of theft is prevented.
Step seven: according to the access authority, storing financial personalized keyword data search according to the four-level storage nodes, and inquiring financial big data;
and the user terminal acquires the login interface again after receiving the account number, the access name and the access responsibility, and inputs the account number, the access name and the access responsibility so as to check the financial big data.
The above embodiments are only for illustrating the technical method of the present application and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present application may be modified or substituted without departing from the spirit and scope of the technical method of the present application.
Claims (10)
1. The financial big data information storage method based on the cloud platform is characterized by comprising the following steps of:
step one: collecting financial big data, classifying, and generating financial classification data according to classification results;
step two: establishing a cloud financial database tree, storing financial classification data in the cloud financial database tree, and generating node financial data;
step three: processing node financial data, generating a virtual financial database tree according to a processing result, setting a virtual storage platform, and generating a virtual access identification database according to the virtual financial database tree;
step four: logging in to access to the virtual storage platform according to the virtual access identification database to obtain a latest virtual access account number data set;
step five: judging whether virtual manager data are obtained according to the latest virtual access account data set, and if so, obtaining a real access account data set;
step six: acquiring manager data according to the actual access account data set, and further acquiring access rights according to the manager data;
step seven: and inquiring the financial big data according to the access rights.
2. The cloud platform-based financial big data information storage method of claim 1, wherein the financial big data comprises financial classification data, financial personalized keyword data and manager data;
extracting personalized keywords of the financial classification data, reclassifying the financial classification data according to the personalized keywords, and obtaining financial personalized keyword data according to classification results;
setting corresponding administrators for the finance personalized keyword data, and acquiring the administrator data.
3. The cloud platform-based financial big data information storage method of claim 1, wherein the cloud financial database tree building process comprises:
the cloud financial database tree comprises a first-level storage node, a second-level storage node, a third-level storage node, a fourth-level storage node and a fifth-level storage node.
4. The cloud platform-based financial big data information storage method according to claim 3, wherein the generation process of the node financial data comprises the following steps:
correspondingly storing financial big data, financial classification data, financial personalized keyword data and manager data in a primary storage node, a secondary storage node, a tertiary storage node, a quaternary storage node and a fifth storage node respectively;
marking personalized keywords with the largest number of personalized keywords appearing in the financial classification data in the three-level storage nodes as personalized keywords of the financial classification data, and connecting the storage nodes corresponding to the financial classification data to the financial personalized keyword data storage nodes corresponding to the four-level storage nodes according to the personalized keywords so as to obtain the four-level storage nodes;
and generating node financial data by the primary storage node, the secondary storage node, the tertiary storage node, the quaternary storage node and the fifth storage node.
5. The cloud platform-based financial big data information storage method of claim 4, wherein the generation process of the virtual access identification database comprises:
setting corresponding access rights to the four-level storage node by an administrator, wherein the access rights comprise an access name, an access account and an access responsibility, generating a corresponding access rights library, and storing the access rights library in administrator data corresponding to the five-level storage node;
setting a virtual storage library on a cloud platform, connecting a cloud financial database tree in a wireless communication manner, mapping and reflecting manager data corresponding to five-level storage nodes to the virtual storage library, generating virtual manager data corresponding to the virtual five-level storage nodes, setting a corresponding virtual key for the virtual manager data, further storing the virtual key in a next-level storage node of the virtual five-level storage nodes, generating a virtual six-level storage node, and generating a virtual management data tree by the virtual five-level storage nodes and the virtual six-level storage node;
setting a virtual storage platform on a cloud platform, sending a virtual storage library to the virtual storage platform, and setting a plurality of virtual access identifiers on the virtual storage platform by a management terminal to generate a virtual access identifier database, wherein the virtual access identifiers are unique identification identifiers for the user terminal to access the virtual storage platform.
6. The cloud platform-based financial big data information storage method according to claim 5, wherein the obtaining process of the latest virtual access account number data set comprises:
setting an access interface for accessing the virtual storage platform at a user terminal, registering a name and an account number of the user terminal, generating a virtual access account number database, transmitting the virtual access account number database to the virtual storage platform for storage, receiving the login request by the user terminal by taking the registered name and the account number as login requests, searching the login request according to the virtual access account number database, and generating an alarm signal for refusing the login request and transmitting the alarm signal to the user terminal if the registered name and the account number are not searched;
if the registration name and the account number are retrieved, the virtual storage platform randomly sends a virtual access identifier to the user terminal, receives the virtual access identifier, logs in, and successfully logs in, and eliminates the name corresponding to the account number in the virtual access account number database, stores the virtual access identifier in the virtual access account number database, and generates a latest virtual access account number data set; and if the login fails, re-logging.
7. The cloud platform-based financial big data information storage method of claim 5, wherein the process of obtaining the actual access account data set comprises:
the management terminal sets a verification account qualification system, wherein the verification account qualification system comprises a verification account length and a verification account standard;
transmitting the account number in the latest virtual access account number data set to a verification account number qualification system, if the account number is reasonable, comparing the virtual access identifier with a virtual access identifier database, if the account number is reasonable, transmitting a corresponding virtual key to a user terminal, obtaining virtual manager data corresponding to a virtual five-level storage node according to the corresponding virtual key, generating a reasonable virtual access account number data set from the latest virtual access account number data set, and if the virtual access identifier and the virtual access identifier database are not identical, not performing any processing; if not, generating an abnormal virtual access account data set;
setting an access channel, wherein the access channel comprises an upper access channel and a lower access channel, and the upper access channel is used for transmitting reasonable virtual access account data; the lower access channel is used for transmitting an abnormal virtual access account data set;
and transmitting the reasonable virtual access account number data set to a cloud financial database tree through an upper access channel, and generating a real access account number data set.
8. The cloud platform-based financial big data information storage method of claim 6, wherein the access right obtaining process comprises:
comparing the actual access account number data set with the access account numbers in the access authority library in the manager data corresponding to the five-level storage node, judging whether the account numbers exist in the access authority library, if so, obtaining the corresponding access names and access responsibilities, further transmitting the account numbers, the access names and the access responsibilities to the user terminal, and obtaining the access authority of the four-level storage node for storing the financial personalized keyword data when the user terminal receives the account numbers, the access names and the access responsibilities; if not, access rights cannot be obtained.
9. The cloud platform-based financial big data information storage method according to claim 7, wherein when the user terminal receives the account number, the access name and the access responsibility, the user terminal re-acquires the login interface, inputs the account number, the access name and the access responsibility, and further checks the financial big data.
10. A financial big data information storage device for implementing any of claims 1 to 8, characterized in that the device comprises a user terminal, a management terminal and a cloud platform, the cloud platform being in wireless communication with the user terminal and the management terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310941136.1A CN117009353A (en) | 2023-07-28 | 2023-07-28 | Financial big data information storage method and equipment based on cloud platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202310941136.1A CN117009353A (en) | 2023-07-28 | 2023-07-28 | Financial big data information storage method and equipment based on cloud platform |
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