CN114153902A - Management method and system of credit card big data interactive data insight platform - Google Patents

Management method and system of credit card big data interactive data insight platform Download PDF

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Publication number
CN114153902A
CN114153902A CN202111503214.7A CN202111503214A CN114153902A CN 114153902 A CN114153902 A CN 114153902A CN 202111503214 A CN202111503214 A CN 202111503214A CN 114153902 A CN114153902 A CN 114153902A
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user
data
management
big data
authority
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程滋茜
朱鋆
李星迪
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Industrial Bank Co Ltd
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Industrial Bank Co Ltd
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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
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2471—Distributed queries
    • 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
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/604—Tools and structures for managing or administering access control systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G06F21/6227—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database where protection concerns the structure of data, e.g. records, types, queries
    • 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
    • G06Q40/03—Credit; Loans; Processing thereof
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/10—Network architectures or network communication protocols for network security for controlling access to devices or network resources
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2221/00—Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F2221/21—Indexing scheme relating to G06F21/00 and subgroups addressing additional information or applications relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F2221/2141—Access rights, e.g. capability lists, access control lists, access tables, access matrices

Abstract

The invention provides a management method and a system of a credit card big data interactive data insight platform, comprising the following steps: a user management module: the method comprises the steps that the increase, deletion, modification and check of users of the whole system and the bidirectional authorization between the users and user groups are realized through the application, the interface of a big data cluster distributed database and the interface call of a light directory access protocol; a user group management module: the method comprises the steps that the increase, deletion, modification and check of the user group of the whole system and the bidirectional authorization between the user group and the user are realized through the application, the interface of a big data cluster distributed database and the interface call of a light directory access protocol; a table authority management module: and the permission increasing, deleting, modifying and checking of the data table of the whole system are realized through an interface of an application and a big data cluster distributed database. The method has relatively safe control in the aspect of code security loopholes; the authority, resources and users of the big data platform are integrated, the business process efficiency is improved, the process processing timeliness is greatly improved, and the manual account management risk is reduced.

Description

Management method and system of credit card big data interactive data insight platform
Technical Field
The invention relates to the field of data batch processing, in particular to a management method and a management system of a credit card big data interactive data insight platform.
Background
The credit card center of the Xingyi bank provides one-stop interactive self-service data exploration service for continuously promoting digital transformation, combining a big data technology and leading-edge artificial intelligence application and building a credit card big data interactive data insight platform so as to fully exert the advantages of data mining, extraction analysis and modeling learning in big data analysis application.
The credit card big data interactive data insight platform is a distributed architecture based on big data technology, a data application layer integrates various big data analysis tools such as SAS, a priori knowledge, a big data extraction and analysis platform and the like in a front-end and back-end separation mode, and a data analysis and mining application platform supporting multiple service scenes is supported. A user management module of the system is a visual unified management portal, and business users can manage user rights, data resources and the like among different data analysis tools of a big data platform through the module.
Because the platform integrates the customer behavior data of each channel in a row, integrates various leading-edge data analysis tools, and provides services for nearly two hundred users of each business department of the whole card center, a visual unified management portal is urgently needed to manage the user authority, the data resources and the like of the platform.
Patent document CN112445858A (application number: CN201910811117.0) discloses a big data management and control platform, which includes: the resource management module is used for scheduling and distributing resources such as memory and calculation of the cluster to upper-layer application and service, and managing the life cycle and resource use of tasks running on the cluster nodes; the security management module is used for providing identity authentication and authorization in a user unit and performing access control generation on cluster data resources and services; the remote procedure calling module is used for providing reliable and efficient interprocess remote calling service; the distributed cooperative service module is used for providing basic naming service, state synchronization service and distributed lock service of a distributed system; the task scheduling module is used for providing a data-driven multistage pipeline parallel computing framework for complex application of massive data processing and large-scale computing types; and the cluster deployment and monitoring module is used for providing deployment, configuration management and self-checking and bootstrap of the whole cloud operating system and the upper-layer application service. However, the method is not developed based on a uniform development framework in a line, and the management and control of the code security vulnerability are insufficient.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a management method and a management system of a credit card big data interactive data insight platform.
The invention provides a management system of a credit card big data interactive data insight platform, which comprises:
a user management module: the increase, deletion, modification and check of the users of the whole system are realized by calling the interfaces of the application and big data cluster distributed database and the interface of the light directory access protocol, and the bidirectional authorization between the users and the user group is realized;
a user group management module: the user groups of the whole system are changed, deleted, modified and checked by calling an interface of an application and big data cluster distributed database and an interface of a light directory access protocol, and bidirectional authorization between users and the user groups is realized;
a table authority management module: and the permission increasing, deleting, modifying and checking of the data table of the whole system are realized through an interface of an application and a big data cluster distributed database.
Preferably, the user management module is developed based on the CAP4J development framework, including: unified and standard user and metadata security management is achieved, a user authority security management framework is built, unified user management among different data exploration tools is opened, authority control of user grouping is supported, data analysis resource isolation of different groups is supported, reading and writing authority of users to a large data platform table level is controlled, and data security control under a multi-user analysis scene is achieved; the user system management, the data table authority, the storage resource flow and the systematization management are realized; a customer behavior data fusion data analysis tool;
the customer behavior data fusion data analysis tool comprises an SAS data analysis tool, a high-dimensional modeling analysis tool and a big data extraction tool, and fusion is realized by uniformly adopting a big data distributed cluster for a bottom layer and butt joint of different application tools.
Preferably, in the user management module:
acquiring a user account of a light directory access protocol generated by a service manager through a newly added user, sending an authentication request to a server of the light directory access protocol by different applications when the user logs in through the same account at different data analysis application entries, and responding to the request after the authentication of the server of the light directory access protocol is passed so as to realize that the user right is universal among different data analysis applications;
the authority of the big data cluster distributed database is integrally authenticated with a light directory access protocol, and when a user operates a data table, the user is bound with the authority of an account and is linked with a subsequent table authority management module; the service manager realizes the editing, deleting and inquiring of the user information.
Preferably, in the user group management module:
generating a group role of the big data cluster distributed database through a user group newly added by a service manager, and binding the user with the user group through adding or deleting the user in the user group; the user group is the minimum unit of the management authority of the system and is linked with a subsequent table authority management module.
Preferably, in the table rights management module:
and allocating a user group to the appointed table, wherein after allocation, all users in the same user group have access rights to the table.
The invention provides a management method of a credit card big data interactive data insight platform, which comprises the following steps:
step S1: the increase, deletion, modification and check of the users of the whole system are realized by calling the interfaces of the application and big data cluster distributed database and the interface of the light directory access protocol, and the bidirectional authorization between the users and the user group is realized;
step S2: the user groups of the whole system are changed, deleted, modified and checked by calling an interface of an application and big data cluster distributed database and an interface of a light directory access protocol, and bidirectional authorization between users and the user groups is realized;
step S3: and the permission increasing, deleting, modifying and checking of the data table of the whole system are realized through an interface of an application and a big data cluster distributed database.
Preferably, the user management module is developed based on the CAP4J development framework, including: unified and standard user and metadata security management is achieved, a user authority security management framework is built, unified user management among different data exploration tools is opened, authority control of user grouping is supported, data analysis resource isolation of different groups is supported, reading and writing authority of users to a large data platform table level is controlled, and data security control under a multi-user analysis scene is achieved; the user system management, the data table authority, the storage resource flow and the systematization management are realized; a customer behavior data fusion data analysis tool;
the customer behavior data fusion data analysis tool comprises an SAS data analysis tool, a high-dimensional modeling analysis tool and a big data extraction tool, and fusion is realized by uniformly adopting a big data distributed cluster for a bottom layer and butt joint of different application tools.
Preferably, in the step S1:
acquiring a user account of a light directory access protocol generated by a service manager through a newly added user, sending an authentication request to a server of the light directory access protocol by different applications when the user logs in through the same account at different data analysis application entries, and responding to the request after the authentication of the server of the light directory access protocol is passed so as to realize that the user right is universal among different data analysis applications;
the authority of the big data cluster distributed database is integrally authenticated with a light directory access protocol, and when a user operates a data table, the user is bound with the authority of an account and is linked with a subsequent table authority management module; the service manager realizes the editing, deleting and inquiring of the user information.
Preferably, in the step S2:
generating a group role of the big data cluster distributed database through a user group newly added by a service manager, and binding the user with the user group through adding or deleting the user in the user group; the user group is the minimum unit of the management authority of the system and is linked with a subsequent table authority management module.
Preferably, in the step S3:
and allocating a user group to the appointed table, wherein after allocation, all users in the same user group have access rights to the table.
Compared with the prior art, the invention has the following beneficial effects:
1. the method is developed based on a uniform development framework in a line, and has relatively safe control in the aspect of code security loopholes;
2. the invention integrates the authority, resources and users of the big data platform, and improves the efficiency of the business process;
3. the invention greatly improves the process treatment timeliness and reduces the manual platform account management risk, realizes the paged, visualized and systematized user management, and the user can only manage in a mode of manually maintaining documents before;
4. the customer behavior data of each channel in the invention integrates various leading-edge data analysis tools, including an SAS data analysis tool, a high-dimensional modeling analysis tool and a big data extraction tool, uniformly adopts big data distributed clusters for the bottom layer, and different application tools are in butt joint by application, thereby providing service for nearly two hundred users of each business department of the whole card center and providing a visual uniform management portal.
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Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a block diagram of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that it would be obvious to those skilled in the art that various changes and modifications can be made without departing from the spirit of the invention. All falling within the scope of the present invention.
Example 1:
the management system of the credit card big data interactive data insight platform provided by the invention, as shown in fig. 1, comprises:
a user management module: the increase, deletion, modification and check of the users of the whole system are realized by calling the interfaces of the application and big data cluster distributed database and the interface of the light directory access protocol, and the bidirectional authorization between the users and the user group is realized;
a user group management module: the user groups of the whole system are changed, deleted, modified and checked by calling an interface of an application and big data cluster distributed database and an interface of a light directory access protocol, and bidirectional authorization between users and the user groups is realized;
a table authority management module: and the permission increasing, deleting, modifying and checking of the data table of the whole system are realized through an interface of an application and a big data cluster distributed database.
Specifically, the user management module is developed based on a CAP4J development framework, and includes: unified and standard user and metadata security management is achieved, a user authority security management framework is built, unified user management among different data exploration tools is opened, authority control of user grouping is supported, data analysis resource isolation of different groups is supported, reading and writing authority of users to a large data platform table level is controlled, and data security control under a multi-user analysis scene is achieved; the user system management, the data table authority, the storage resource flow and the systematization management are realized; a customer behavior data fusion data analysis tool;
the customer behavior data fusion data analysis tool comprises an SAS data analysis tool, a high-dimensional modeling analysis tool and a big data extraction tool, and fusion is realized by uniformly adopting a big data distributed cluster for a bottom layer and butt joint of different application tools.
Specifically, in the user management module:
acquiring a user account of a light directory access protocol generated by a service manager through a newly added user, sending an authentication request to a server of the light directory access protocol by different applications when the user logs in through the same account at different data analysis application entries, and responding to the request after the authentication of the server of the light directory access protocol is passed so as to realize that the user right is universal among different data analysis applications;
the authority of the big data cluster distributed database is integrally authenticated with a light directory access protocol, and when a user operates a data table, the user is bound with the authority of an account and is linked with a subsequent table authority management module; the service manager realizes the editing, deleting and inquiring of the user information.
Specifically, in the user group management module:
generating a group role of the big data cluster distributed database through a user group newly added by a service manager, and binding the user with the user group through adding or deleting the user in the user group; the user group is the minimum unit of the management authority of the system and is linked with a subsequent table authority management module.
Specifically, in the table rights management module:
and allocating a user group to the appointed table, wherein after allocation, all users in the same user group have access rights to the table.
Example 2:
example 2 is a preferred example of example 1, and the present invention will be described in more detail.
The technical personnel in the field can understand that the management method of the credit card big data interactive data insight platform provided by the invention is a specific implementation mode of the management system of the credit card big data interactive data insight platform, namely the management system of the credit card big data interactive data insight platform can be realized by executing the step flow of the management method of the credit card big data interactive data insight platform.
The invention provides a management method of a credit card big data interactive data insight platform, which comprises the following steps:
step S1: the increase, deletion, modification and check of the users of the whole system are realized by calling the interfaces of the application and big data cluster distributed database and the interface of the light directory access protocol, and the bidirectional authorization between the users and the user group is realized;
step S2: the user groups of the whole system are changed, deleted, modified and checked by calling an interface of an application and big data cluster distributed database and an interface of a light directory access protocol, and bidirectional authorization between users and the user groups is realized;
step S3: and the permission increasing, deleting, modifying and checking of the data table of the whole system are realized through an interface of an application and a big data cluster distributed database.
Specifically, the user management module is developed based on a CAP4J development framework, and includes: unified and standard user and metadata security management is achieved, a user authority security management framework is built, unified user management among different data exploration tools is opened, authority control of user grouping is supported, data analysis resource isolation of different groups is supported, reading and writing authority of users to a large data platform table level is controlled, and data security control under a multi-user analysis scene is achieved; the user system management, the data table authority, the storage resource flow and the systematization management are realized; a customer behavior data fusion data analysis tool;
the customer behavior data fusion data analysis tool comprises an SAS data analysis tool, a high-dimensional modeling analysis tool and a big data extraction tool, and fusion is realized by uniformly adopting a big data distributed cluster for a bottom layer and butt joint of different application tools.
Specifically, in the step S1:
acquiring a user account of a light directory access protocol generated by a service manager through a newly added user, sending an authentication request to a server of the light directory access protocol by different applications when the user logs in through the same account at different data analysis application entries, and responding to the request after the authentication of the server of the light directory access protocol is passed so as to realize that the user right is universal among different data analysis applications;
the authority of the big data cluster distributed database is integrally authenticated with a light directory access protocol, and when a user operates a data table, the user is bound with the authority of an account and is linked with a subsequent table authority management module; the service manager realizes the editing, deleting and inquiring of the user information.
Specifically, in the step S2:
generating a group role of the big data cluster distributed database through a user group newly added by a service manager, and binding the user with the user group through adding or deleting the user in the user group; the user group is the minimum unit of the management authority of the system and is linked with a subsequent table authority management module.
Specifically, in the step S3:
and allocating a user group to the appointed table, wherein after allocation, all users in the same user group have access rights to the table.
Example 3:
example 3 is a preferred example of example 1, and the present invention will be described in more detail.
The invention provides a development framework which is different from an open source development framework and internally unifies technical routes. Based on the framework, the invention integrates the authority, resources, users and the like of the big data platform, and realizes a unified management portal.
The credit card big data interactive data insight platform is a distributed architecture based on big data technology, a data application layer integrates various big data analysis tools such as SAS, a priori knowledge, a big data extraction and analysis platform and the like in a front-end and back-end separation mode, and a data analysis and mining application platform supporting multiple service scenes is supported. A user management module of the system is a visual unified management portal, and business users can realize the management of user rights, data resources and the like among different data analysis tools of a big data platform through the module, wherein the management comprises the following steps:
and the user management unit comprises the addition, deletion, modification and check of the users of the whole system and the bidirectional authorization between the users and the user group. The unit is mainly realized by calling an interface of an application and a HIVE interface and an interface of LDAP, a service manager in the unit can generate a uniform Lightweight Directory Access Protocol (LDAP) user account through adding a new user, different applications can send authentication requests to an LDAP server when the user logs in through the same account at different data analysis application inlets, and the LDAP server responds to the requests after the authentication is passed, so that the user permission is universal among different data analysis applications, and the permission management bottleneck among the applications is opened. Meanwhile, authentication is integrated between the authority of a big data cluster distributed database (HIVE) and LDAP, and when a user operates a data table of the system, the authority is bound with an account and linked with a subsequent table authority management unit. The service administrator can also implement editing, deleting and querying of user information in the unit.
And the user group management unit comprises the addition, deletion, modification and check of the whole system user group and the bidirectional authorization between the user group and the user. The unit is mainly realized by calling an application, an HIVE interface and an LDAP interface, a service manager in the unit can generate a HIVE group role by adding user groups, and the users can be bound with the user groups by adding and deleting the users in the user groups. The user group is the minimum unit of the management authority of the system and is linked with the subsequent table authority management unit.
And the table authority management unit comprises authority increasing, deleting, modifying and checking of the whole system data table. The unit is mainly through the interface of application and HIVE, the business administrator in the said unit can assign the user group to the appointed table, all users have access right to the table under the same user group after assigning.
The user management module of the system is developed based on a CAP4J development framework in the in-line specification, unified and standard user and metadata safety management is realized, a set of user authority safety management framework is set up, unified user management among different data exploration tools is opened, authority control of user grouping is supported, data analysis resource isolation of different groups is supported, reading and writing authority of users to a large data platform table level can be controlled, and data safety control under a multi-user analysis scene is realized. The newly added user management subsystem of the project in the current period realizes the flow and systematization management of user system management, data table authority, storage resources and the like, greatly improves the flow processing timeliness and reduces the manual account management risk. The customer behavior data of each channel in the card integrates various leading-edge data analysis tools, provides service for nearly two hundred users of each business department in the whole card center, and provides a visual unified management portal
Those skilled in the art will appreciate that, in addition to implementing the systems, apparatus, and various modules thereof provided by the present invention in purely computer readable program code, the same procedures can be implemented entirely by logically programming method steps such that the systems, apparatus, and various modules thereof are provided in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Therefore, the system, the device and the modules thereof provided by the present invention can be considered as a hardware component, and the modules included in the system, the device and the modules thereof for implementing various programs can also be considered as structures in the hardware component; modules for performing various functions may also be considered to be both software programs for performing the methods and structures within hardware components.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.

Claims (10)

1. A management system of a credit card big data interactive data insight platform is characterized by comprising:
a user management module: the increase, deletion, modification and check of the users of the whole system are realized by calling the interfaces of the application and big data cluster distributed database and the interface of the light directory access protocol, and the bidirectional authorization between the users and the user group is realized;
a user group management module: the user groups of the whole system are changed, deleted, modified and checked by calling an interface of an application and big data cluster distributed database and an interface of a light directory access protocol, and bidirectional authorization between users and the user groups is realized;
a table authority management module: and the permission increasing, deleting, modifying and checking of the data table of the whole system are realized through an interface of an application and a big data cluster distributed database.
2. The management system of the credit card big data interactive data insight platform of claim 1, wherein:
the user management module is developed based on a CAP4J development framework, and comprises the following steps: unified and standard user and metadata security management is achieved, a user authority security management framework is built, unified user management among different data exploration tools is opened, authority control of user grouping is supported, data analysis resource isolation of different groups is supported, reading and writing authority of users to a large data platform table level is controlled, and data security control under a multi-user analysis scene is achieved; the user system management, the data table authority, the storage resource flow and the systematization management are realized; a customer behavior data fusion data analysis tool;
the customer behavior data fusion data analysis tool comprises an SAS data analysis tool, a high-dimensional modeling analysis tool and a big data extraction tool, and fusion is realized by uniformly adopting a big data distributed cluster for a bottom layer and butt joint of different application tools.
3. The management system of the credit card big data interactive data insight platform of claim 1, wherein in the user management module:
acquiring a user account of a light directory access protocol generated by a service manager through a newly added user, sending an authentication request to a server of the light directory access protocol by different applications when the user logs in through the same account at different data analysis application entries, and responding to the request after the authentication of the server of the light directory access protocol is passed so as to realize that the user right is universal among different data analysis applications;
the authority of the big data cluster distributed database is integrally authenticated with a light directory access protocol, and when a user operates a data table, the user is bound with the authority of an account and is linked with a subsequent table authority management module; the service manager realizes the editing, deleting and inquiring of the user information.
4. The management system of the credit card big data interactive data insight platform of claim 1, wherein in the user group management module:
generating a group role of the big data cluster distributed database through a user group newly added by a service manager, and binding the user with the user group through adding or deleting the user in the user group; the user group is the minimum unit of the management authority of the system and is linked with a subsequent table authority management module.
5. The management system of the credit card big data interactive data insight platform of claim 1, wherein in the table authority management module:
and allocating a user group to the appointed table, wherein after allocation, all users in the same user group have access rights to the table.
6. A management method of a credit card big data interactive data insight platform is characterized by comprising the following steps:
step S1: the increase, deletion, modification and check of the users of the whole system are realized by calling the interfaces of the application and big data cluster distributed database and the interface of the light directory access protocol, and the bidirectional authorization between the users and the user group is realized;
step S2: the user groups of the whole system are changed, deleted, modified and checked by calling an interface of an application and big data cluster distributed database and an interface of a light directory access protocol, and bidirectional authorization between users and the user groups is realized;
step S3: and the permission increasing, deleting, modifying and checking of the data table of the whole system are realized through an interface of an application and a big data cluster distributed database.
7. The management method of the credit card big data interactive data insight platform of claim 6, wherein:
the user management module is developed based on a CAP4J development framework, and comprises the following steps: unified and standard user and metadata security management is achieved, a user authority security management framework is built, unified user management among different data exploration tools is opened, authority control of user grouping is supported, data analysis resource isolation of different groups is supported, reading and writing authority of users to a large data platform table level is controlled, and data security control under a multi-user analysis scene is achieved; the user system management, the data table authority, the storage resource flow and the systematization management are realized; a customer behavior data fusion data analysis tool;
the customer behavior data fusion data analysis tool comprises an SAS data analysis tool, a high-dimensional modeling analysis tool and a big data extraction tool, and fusion is realized by uniformly adopting a big data distributed cluster for a bottom layer and butt joint of different application tools.
8. The management method of the credit card big data interactive data insight platform of claim 6, wherein in the step S1:
acquiring a user account of a light directory access protocol generated by a service manager through a newly added user, sending an authentication request to a server of the light directory access protocol by different applications when the user logs in through the same account at different data analysis application entries, and responding to the request after the authentication of the server of the light directory access protocol is passed so as to realize that the user right is universal among different data analysis applications;
the authority of the big data cluster distributed database is integrally authenticated with a light directory access protocol, and when a user operates a data table, the user is bound with the authority of an account and is linked with a subsequent table authority management module; the service manager realizes the editing, deleting and inquiring of the user information.
9. The management method of the credit card big data interactive data insight platform of claim 6, wherein in the step S2:
generating a group role of the big data cluster distributed database through a user group newly added by a service manager, and binding the user with the user group through adding or deleting the user in the user group; the user group is the minimum unit of the management authority of the system and is linked with a subsequent table authority management module.
10. The management method of the credit card big data interactive data insight platform of claim 6, wherein in the step S3:
and allocating a user group to the appointed table, wherein after allocation, all users in the same user group have access rights to the table.
CN202111503214.7A 2021-12-09 2021-12-09 Management method and system of credit card big data interactive data insight platform Pending CN114153902A (en)

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