CN117271637A - Tool integration method, device, equipment and medium of analyst workbench - Google Patents

Tool integration method, device, equipment and medium of analyst workbench Download PDF

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Publication number
CN117271637A
CN117271637A CN202311210921.6A CN202311210921A CN117271637A CN 117271637 A CN117271637 A CN 117271637A CN 202311210921 A CN202311210921 A CN 202311210921A CN 117271637 A CN117271637 A CN 117271637A
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China
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interface
analyst
data analysis
tool
additional
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张钰娜
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Bank of China Ltd
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Bank of China Ltd
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Priority to CN202311210921.6A priority Critical patent/CN117271637A/en
Publication of CN117271637A publication Critical patent/CN117271637A/en
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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

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  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
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  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application discloses a tool integration method, device, equipment and medium of an analyst workbench, which can be applied to the big data field or the financial field and comprises the following steps: determining a first public interface and an additional interface of the big data analysis tool; modifying the transmission parameters of the first public interface and the additional interface according to the data analysis requirement of the analyst workbench; determining a fusible additional interface which can be fused to the first public interface in the additional interfaces according to the data analysis requirement of the analyst workbench; the additional interface which can be fused into the first public interface is fused into the first public interface to obtain a second public interface, and the second public interface is used for enabling the big data analysis tool to be adapted to an analyst workbench; and inputting an interface address of the second public interface into a front end configuration interface of the analyst workbench so as to enable the analyst workbench to integrate big data analysis tools. Thereby reducing the cost of development of the analyst's table.

Description

Tool integration method, device, equipment and medium of analyst workbench
Technical Field
The present application relates to the field of big data, and in particular, to a tool integration method, device, apparatus, and medium for an analyst workstation.
Background
The analyst workbench is a platform integrating various big data analysis tools, provides corresponding data analysis environments for analysts of various levels, accesses and uses different data analysis tools through a unified interface, thereby reducing the difficulty and cost of data analysis and improving the efficiency of data analysis;
however, at present, because the integration modes of each tool are different, the integration method relates to aspects of tenant user systems, data isolation, data source adaptation and the like, and the integration tool process is complex and lacks a standard integration scheme due to the diversity of interaction modes of an analyst workbench and each tool system. Every time an analyst workstation integrates a data analysis tool, the analyst workstation needs to be docked with a manufacturer, and the interface of the analyst workstation is modified according to the interface of the tool, so that the integrated tool flow is complex and the development cost of the analyst workstation is high.
Disclosure of Invention
In view of the foregoing, it is a primary object of the present application to provide a tool integration method, apparatus, device and medium for an analyst's workstation, so as to simplify the tool integration process and reduce the development cost of the analyst's workstation.
A first aspect of the present application provides a tool integration method for an analyst workstation, the method comprising:
determining a first public interface and an additional interface of the big data analysis tool;
modifying the transmission parameters of the first public interface and the transmission parameters of the additional interfaces according to the data analysis requirements of the analyst workbench;
determining an additional interface which can be fused in the additional interfaces according to the data analysis requirement of the analyst workbench, wherein the additional interface can be fused into the first public interface;
the additional interface which can be fused into the first public interface is fused into the first public interface to obtain a second public interface, and the second public interface is used for enabling the big data analysis tool to be adapted to an analyst workbench;
and inputting an interface address of the second common interface into a front end configuration interface of the analyst workbench so as to enable the analyst workbench to integrate the big data analysis tool, and enabling the analyst workbench to integrate the big data analysis tool.
In some implementations of the first aspect of the present application, the big data analysis tool includes at least one of: a TIONE data modeling tool, an IDEX data exploration tool, a BI flexible analysis tool and an IRESRT data cloud table tool.
In some implementations of the first aspect of the present application, the data analysis requirements of the analyst's workstation instruct the big data analysis tool to make modifications to the transfer parameters of the first common interface and to the transfer parameters of the additional interface corresponding to at least one of the following parameters: user code, user name, tenant code, tenant name, project code, project name, data source type, database address, data source name, data source id, database account number, database password, and drive type.
In some implementations of the first aspect of the present application, blending the incorporable additional interface into the first common interface includes:
and integrating the transmission parameters which can be integrated into the additional interfaces into the transmission parameters of the first public interface so that the first public interface realizes the interface functions which can be integrated into the additional interfaces.
A second aspect of the present application provides a tool integration apparatus for an analyst's table, the apparatus comprising:
the first determining module is used for determining a first public interface and an additional interface of the big data analysis tool;
the modification module is used for modifying the transmission parameters of the first public interface and the transmission parameters of the additional interfaces according to the data analysis requirements of the analyst workbench;
the second determining module is used for determining an additional interface which can be integrated in the additional interface according to the data analysis requirement of the analyst workbench, wherein the additional interface can be integrated in the first public interface;
the integration module is used for integrating the additional integration interface into the first public interface to obtain a second public interface, and the second public interface is used for enabling the big data analysis tool to be adapted to an analyst workbench;
and the interface integration module is used for inputting an interface address of the second public interface at the front end configuration interface of the analyst workbench so as to enable the analyst workbench to integrate the big data analysis tool and enable the analyst workbench to call the big data analysis tool.
In some implementations of the second aspect of the present application, the big data analysis tool includes at least one of: a TIONE data modeling tool, an IDEX data exploration tool, a BI flexible analysis tool and an IRESRT data cloud table tool.
In some implementations of the second aspect of the present application, the data analysis requirements of the analyst's workstation instruct the big data analysis tool to make modifications to the transfer parameters of the first common interface and to the transfer parameters of the additional interface corresponding to at least one of the following parameters: user code, user name, tenant code, tenant name, project code, project name, data source type, database address, data source name, data source id, database account number, database password, and drive type.
In some implementations of the second aspect of the present application, the integration module is specifically configured to integrate the transfer parameter capable of integrating the additional interface into the transfer parameter of the first common interface, so that the first common interface implements an interface function capable of integrating the additional interface.
A third aspect of the present application provides a tool integration apparatus of an analyst's bench comprising a memory and a processor for executing a program stored in the memory, running the tool integration method of an analyst's bench as provided in the first aspect of the present application.
A fourth aspect of the present application provides a readable storage medium having stored thereon a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the tool integration method of an analyst's table as provided in the first aspect of the present application.
Compared with the prior art, the technical scheme provided by the application has the following beneficial effects:
in the tool integration method of the analyst workbench provided by the application, first, a first public interface and an additional interface of a big data analysis tool are determined, and transfer parameters of the first public interface and the additional interface are modified according to data analysis requirements of the analyst workbench. And then, further determining that the additional interface which can be fused to the first public interface is the additional interface which can be fused according to the data analysis requirement of the analyst workbench, and fusing the additional interface which can be fused to the first public interface to obtain a second public interface. Finally, the integration of the big data analysis tool by the analyst workstation is achieved by configuring the interface address of the second common interface to the front end configuration interface of the analyst workstation. Therefore, the common interface of the big data analysis tool is actively modified to adapt to the analyst workbench, and the analyst workbench is not actively adapted to the big data analysis tool, so that the integration flow of the big data analysis tool is simplified, and the development cost of the analyst workbench is reduced.
Drawings
FIG. 1 is a flow chart of a tool integration method for an analyst workstation according to an embodiment of the present application;
fig. 2 is a schematic diagram of a front-end configuration interface according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a tool integration apparatus for an analyst's workstation according to an embodiment of the present application;
fig. 4 is a schematic diagram of a tool integration apparatus of an analyst workstation according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The terms "first," "second," "third," "fourth" and the like in the description and in the claims of this application and in the above-described figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be implemented in other sequences than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
As described in the background art, because the integration modes of each tool are different, each time the analyst workstation integrates a data analysis tool, the analyst workstation needs to be docked with a manufacturer, and the interface of the analyst workstation is modified according to the interface of the tool, so that the integrated tool flow is complex and the development cost of the analyst workstation is high.
At present, the prior art provides a big data unified analysis processing scheme based on a big data real-time analysis platform, which integrates and converts big data of different types and formats, and integrates multi-dimensional big data analysis application, and in view of this, referring to fig. 1, an embodiment of the application provides a tool integration method of an analyst workbench, which specifically includes the following steps:
s101: a first common interface and an additional interface of the big data analysis tool are determined.
In the embodiment provided by the application, the interfaces of the big data analysis tools can be divided into a first public interface and an additional interface through analysis, wherein the first public interface refers to an interface with commonality between the big data analysis tools and other big data analysis tools, and can be understood as the same function which all big data analysis tools need to provide, namely, the interface which all data analysis tools need to call is integrated; the additional interface refers to an interface with individuality difference between the big data analysis tool and other big data analysis tools, and can be understood as an interface provided by the big data analysis tool for realizing the specific function of the big data analysis tool, and the interface is other interfaces except the first public interface in the big data analysis tool.
In some implementations of the present application, the functions provided by the common interface may include: user login, token acquisition, tenant addition/deletion, user addition/deletion, new/deletion item, item addition/deletion user, and data source addition/deletion.
In some implementations of the present application, the big data analysis tool includes at least one of: a TIONE data modeling tool, an IDEX data exploration tool, a BI flexible analysis tool and an IRESRT data cloud table tool. The specific description of each big data analysis tool is as follows:
the TIONE data modeling tool is used for providing a one-stop machine learning ecological service platform and providing full-flow development and deployment support from data preprocessing, differential algorithm model construction, model training and model evaluation to model service.
IDEX data exploration tools, i.e., online sql editors, are used to provide online pre-viewing of data, helping users to quickly create and view data. And the cross-cluster access of the data is supported, task can be searched, the log can be traced, and the HIVE and Gbase data flow channel is opened.
The BI flexible analysis tool is used for providing report making, report release and report management; the graphical visual report can be quickly generated in a dragging mode.
The IRERPORT data cloud table tool adopts a terminal-oriented pure Excel/WPS designer, and can quickly respond to various service demands and rapidly put into production reports through a convenient drag type design mode.
In the embodiments provided herein, the manner in which the first common interface and the additional interface of the big data analysis tool are determined, for example, assuming that the analyst workstation is to integrate both the big data analysis tools of the TIONE and the BI, the technician may refer to the interface documents provided by each of them and perform the following analysis: both the TIONE and BI provide interfaces for implementing the functions of user login, token acquisition, add/delete tenant, add/delete user, new/delete project, project add/delete user, add/delete data source, which are all the first common interfaces. The TIONE also provides interfaces for creating tasks, running tasks, etc., which are additional interfaces compared to the BI. The BI also provides additional interfaces for creating data sources, creating reports, editing reports, deleting reports, and the like, as compared to the TIONE. Therefore, by specifying the types of the big data analysis tools, the big data analysis tools applicable to the application can be clarified, so that technicians can conveniently analyze and find the commonalities and individuality (the first public interface and the additional interface) of each big data analysis tool, and can conveniently expand and add other types of big data analysis tools.
S102: and modifying the transmission parameters of the first public interface and the transmission parameters of the additional interfaces according to the data analysis requirements of the analyst workbench.
In the embodiment provided in the application, in order to enable the first common interface and the additional interface to adapt to the data analysis requirement of the analyst workstation, the transmission parameters of the common interface and the additional interface may be modified according to the type, format, name, value range, meaning and the like of the data that the analyst workstation needs to transmit and receive. To ensure the correctness and validity of the data interaction between the big data analysis tool and the analyst workbench. The transfer parameter in this application refers to data information that needs to be provided to indicate the function and return value of the interface when the analyst calls the first common interface or the additional interface. For example, a first public interface for user login needs to provide user code, user name, tenant code and tenant name as delivery parameters for verifying user identity and user login.
In some implementations of embodiments of the present application, the data analysis requirements of the analyst's workstation instruct the big data analysis tool to make modifications to the transfer parameters of the first common interface and to the transfer parameters of the additional interface corresponding to at least one of the following parameters: user code, user name, tenant code, tenant name, project code, project name, data source type, database address, data source name, data source id, database account number, database password, and drive type. The manner in which the data analysis requirements of the analyst's workstation are modified is based on, for example, first, the data analysis requirements of the analyst's workstation, which big data analysis tools need to be used, and which data analysis operations need to be performed. And then, according to the data analysis requirement of an analyst workbench, modifying the transmission parameters of the first public interface so that the transmission parameters can meet the basic functions and data requirements of all big data analysis tools. Meanwhile, according to the data analysis requirement of an analyst workbench, the transmission parameters of the additional interface are modified, and the range of the modified content is at least one of the transmission parameters, so that the modified content can meet the characteristic functions and data requirements of certain specific big data analysis tools. Therefore, the content of the transmission parameters which need to be modified in the application can be clarified by specifying the parameters indicated by the data analysis requirements of the analyst workbench, so that flexible adjustment and configuration are convenient according to different data analysis requirements.
S103: and determining the additional interface which can be fused in the additional interfaces according to the data analysis requirement of the analyst workbench, wherein the additional interface can be fused in the first public interface.
In the embodiments of the present application, the fact that the additional interfaces can be incorporated means that, in the additional interfaces, the functions of some interfaces can be implemented by modifying the transfer parameters of the common interface, without separately providing a new interface. For example, the additional interface for creating the data source may be implemented by modifying the transfer parameters of the first common interface for adding the data source, and no longer need exist as a separate additional interface.
Depending on the data analysis requirements of the analyst's workstation, it may be determined which big data analysis tools need to be used, and which data analysis operations need to be performed. Further, each additional interface is analyzed to determine whether they can be implemented by modifying the delivery parameters of the common interface, and if so, they are marked as incorporable into the additional interface.
According to the embodiment of the application, the number of the additional interfaces is reduced as much as possible by determining the additional interfaces which are fused into the first public interfaces to realize the additional functions of the first public interfaces, so that dependence and redundancy among the interfaces can be reduced, and the calling relationship between the first tool interfaces and the additional interfaces can be simplified. For example, the additional interface for creating the data source and the first common interface for adding the data source are required to be called originally to realize the two functions, and now by merging the additional interface for creating the data source into the first common interface for adding the data source, the analyst workbench can realize the function by only calling the first common interface for adding the data source, because the first common interface has the function of creating the data source.
S104: the incorporable additional interface is fused to the first common interface to obtain a second common interface for adapting the big data analysis tool to the analyst workstation.
The second public interface in the application refers to a new public interface which is integrated with the additional interface based on the first public interface, so that functions and data of the additional interface can be integrated. In the specific embodiment provided by the application, the additional interface capable of being fused into the first public interface is fused, specifically, the transfer parameter capable of being fused into the additional interface is fused into the transfer parameter of the first public interface, so that the first public interface realizes the interface function capable of being fused into the additional interface. For example, analyzing individual incorporable additional interfaces, determining which delivery parameters they need to add to the common interface, and the type, format, meaning, etc. of these delivery parameters; and modifying the transfer parameters in the first public interface, increasing the transfer parameters required by the additional interface, enabling the first public interface to be adapted to the transfer parameters of the additional interface, and realizing the interface function of the additional interface. Therefore, the method and the steps for realizing the interface functions and the data can be clarified by specifying the specific operation of fusing the additional interface into the first public interface, namely fusing the transfer parameters, and the method and the steps for realizing the interface functions and the data are convenient for optimizing and simplifying the call between the interfaces in the big data analysis tool.
The purpose of the additional interface which can be fused into the first public interface to obtain the purpose of adapting the big data analysis tool to the workbench of the analyst is to form a unified standardized interface call specification, namely the additional interface which can be fused into the public interface is fused into the public interface to obtain a new public interface (namely the second public interface). The new common interface contains all the functions and data needed to be provided to the analyst's workstation, and also meets the data analysis requirements of the analyst's workstation. In this way, the big data analysis tool can adapt its own interface to the analyst's workstation based on this new common interface.
S105: and inputting an interface address of the second common interface into a front end configuration interface of the analyst workbench so as to enable the analyst workbench to integrate the big data analysis tool, and enabling the analyst workbench to integrate the big data analysis tool.
The front end configuration page in the embodiment of the present application may refer to a visual interface provided to a manufacturer of the big data analysis tool in the analyst workstation, for configuring an interface address of the second common interface of the big data analysis tool. The interface address of the second public interface is input into the front-end configurable interface to complete the integration of the flow big data analysis tool, namely, the manufacturer of the big data analysis tool refers to the specification of the second public interface through the front-end configurable interface and fills in the interface call address of the manufacturer. Therefore, the analyst workbench can call different big data analysis tools through the configuration front-end page to integrate the different big data analysis tools, and further the data analysis task is completed.
In this embodiment of the present application, first, the first common interface and the additional interface of the big data analysis tool are determined, and the transfer parameters of the first common interface and the additional interface are modified according to the data analysis requirements of the analyst's workbench. And then, further determining that the additional interface which can be fused to the first public interface is the additional interface which can be fused according to the data analysis requirement of the analyst workbench, and fusing the additional interface which can be fused to the first public interface to obtain a second public interface. Finally, the integration of the big data analysis tool by the analyst workstation is achieved by configuring the interface address of the second common interface to the front end configuration interface of the analyst workstation. The front end configuration interface forms a unified standardized interface call specification, so that manufacturers of big data analysis tools can review the specification of the second public interface and fill in own interface call addresses to complete a flow tool integration scheme, and an analyst workbench can call different big data analysis tools to complete data analysis tasks. Therefore, the common interface of the big data analysis tool is actively modified to adapt to the analyst workbench, and the analyst workbench is not actively adapted to the big data analysis tool, so that the integration flow of the big data analysis tool is simplified, and the development cost of the analyst workbench is reduced.
Referring to fig. 2, fig. 2 is a schematic diagram of a front end configuration interface provided in the present application, where the front end configuration interface may include the following modules: the system comprises a login management module, a tenant management module, a user management module, a project management module and a data source management module. In the application, each module respectively provides an entry for inputting an interface address, and after the adaptation of the big data analysis tool to the analyst workbench is completed, the interface address of the big data analysis tool is input at the entry for inputting the interface address so that the analyst workbench can call the big data analysis tool later. The functions and interfaces provided by the application to the big data analysis tool manufacturer are determined by specifying the modules included in the front-end configuration interface, so that the manufacturer can know the data analysis requirements of the analyst workstation based on the front-end configuration interface, and the big data analysis tool can be adapted to the analyst workstation.
Wherein, login management module includes: a jump tool unit; the tenant management module comprises: newly-built tenant units and deleted tenant units; the user management module comprises: newly-built subscriber units and delete subscriber units; the project management module comprises: newly-built project unit, delete project unit, project add user unit and project delete user unit; the data source management module comprises: data source units are added and deleted.
In some implementations of the present application, the transfer parameters adapted by the big data analysis tool required by each unit in the front-end configuration interface are specifically as follows:
the explanation of the transfer parameters is as follows: analyticld: user code, analytitname: user name, apltGroupN: tenant coding, apltGroupName: tenant name, projectId: project code, projectName: project name, databaseType: data source type, dataBaseName: database address, datasource: data source name, IDdataSourceId: data source, usemName: database account number, password: database password, driverClassName: type of drive.
The transfer parameters that the skip tool unit needs big data analysis tool to adapt include: analystld, analystName, apltGroupNo, apltGroupName;
the transfer parameters of the new tenant unit demand big data analysis tool adaptation include: apltGroupNo, apltGroupName;
deleting transfer parameters adapted by the tenant unit demand big data analysis tool comprises: apltgroupNo;
the transfer parameters adapted by the big data analysis tool required by the newly built user unit include: analystld, analystName, apltGroupNo, apltGroupName;
deleting the transfer parameters that the subscriber unit requires the big data analysis tool to adapt to includes: analystld, analystName, apltGroupNo, apltGroupName;
the transmission parameters of the big data analysis tool adaptation required by the newly built project unit comprise: projectld, projectName, apltGroupNo, apltGroupName;
the transfer parameters adapted by the big data analysis tool for deleting the project unit comprise: projectld, projectName, apltGroupNo, apltGroupName;
the project adding user needs the transfer parameters adapted by the big data analysis tool include: projectid, projectname, analystld, analystName, apltGroupNo, apltGroupName;
the transfer parameters that the project deleting unit needs big data analysis tool to adapt include: projectid, projectname, analystld, analystName, apltGroupNo, apltGroupName;
adding transfer parameters that the data source unit requires adaptation of the big data analysis tool includes: databaseType, apltGroupNo, projectld, url, dataBaseName, dataSourceld, username, password, driverClassName;
deleting transfer parameters that the data source unit requires adaptation of the big data analysis tool includes: dataSourceld, apltGroupNo, projectld.
By designating the units included in each module of the front-end configuration interface, the details and operation of the functions of each module realized by the analyst workbench can be definitely realized, so that developers can modify and adjust the interface of the big data analysis tool more pertinently, and development efficiency is further improved.
Referring to fig. 3, another tool integration apparatus of an analyst's table according to an embodiment of the present application includes:
a first determining module 301, configured to determine a first common interface and an additional interface of the big data analysis tool;
a modifying module 302, configured to modify the transfer parameters of the first common interface and the transfer parameters of the additional interface according to the data analysis requirement of the analyst workbench;
a second determining module 303, configured to determine, according to a data analysis requirement of an analyst workstation, an additional interface that can be integrated into the additional interface, where the additional interface can be integrated into the first common interface;
the integration module 304 is configured to integrate the additional interface capable of being integrated into the first public interface to obtain a second public interface, where the second public interface is used to adapt the big data analysis tool to the analyst workbench;
the interface integration module 305 is configured to input an interface address of the second common interface of the big data analysis tool on the front end configuration page of the analyst workstation, so that the analyst workstation integrates the big data analysis tool.
In some implementations of the embodiments of the present application, the integration module is specifically configured to integrate the transfer parameter capable of integrating the additional interface into the transfer parameter of the first common interface, so that the first common interface realizes the interface function capable of integrating the additional interface.
In some implementations of embodiments of the present application, the big data analysis tool includes at least one of: a TIONE data modeling tool, an IDEX data exploration tool, a BI flexible analysis tool and an IRESRT data cloud table tool.
In some implementations of embodiments of the present application, the data analysis requirements of the analyst's workstation instruct the big data analysis tool to make modifications to the transfer parameters of the first common interface and to the transfer parameters of the additional interface corresponding to at least one of the following parameters: user code, user name, tenant code, tenant name, project code, project name, data source type, database address, data source name, data source id, database account number, database password, and drive type.
In some implementations of the present application, the front-end configuration interface includes: the system comprises a login management module, a tenant management module, a user management module, a project management module and a data source management module.
In some implementations of the present application, the login management module includes: a jump tool unit; the tenant management module comprises: newly-built tenant units and deleted tenant units; the user management module comprises: newly-built subscriber units and delete subscriber units; the project management module comprises: newly-built project unit, delete project unit, project add user unit and project delete user unit; the data source management module comprises: data source units are added and deleted.
As shown in fig. 4, an embodiment of the present application further provides a computer device, including: a memory 401 and a processor 402;
wherein the memory 401 is for storing a program;
the processor 402 is configured to execute the program in the memory to implement the tool integration method of the analyst's table as described above in fig. 1.
The embodiment of the present application further provides a readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the tool integration method of the analyst workstation as described in fig. 1.
The method, the device, the equipment and the medium for integrating tools of an analyst workbench provided by the embodiment of the application can be applied to the field of big data, and it should be noted that the above is only an example and is not limited to the application field of the method, the device, the equipment and the medium for integrating tools of an analyst workbench provided by the application.
It will be appreciated that the structure illustrated in this embodiment is not intended to be limiting in any way. In other embodiments, the apparatus may include more or less components than illustrated, or other components may be combined, or other components may be split, or different arrangements of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.
Finally, it should also be noted that in the embodiments of the present application, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. A tool integration method for an analyst's table, the method comprising:
determining a first public interface and an additional interface of the big data analysis tool;
modifying the transmission parameters of the first public interface and the transmission parameters of the additional interfaces according to the data analysis requirements of an analyst workbench;
determining a fusible additional interface in the additional interfaces according to the data analysis requirement of the analyst workbench, wherein the fusible additional interface is an additional interface which can be fused to the first public interface;
the additional fusible interface is fused to the first public interface to obtain a second public interface, and the second public interface is used for enabling the big data analysis tool to be matched with the analyst workbench;
and inputting an interface address of the second public interface at the front end configuration interface of the analyst workbench so as to enable the analyst workbench to integrate the big data analysis tool.
2. The method of claim 1, wherein the big data analysis tool comprises at least one of:
a TIONE data modeling tool, an IDEX data exploration tool, a BI flexible analysis tool and an IRESRT data cloud table tool.
3. The method of claim 1, wherein the data analysis requirements of the analyst's workstation indicate that the big data analysis tool performs modification of the transfer parameters of the first common interface and the transfer parameters of the additional interface corresponding to at least one of: user code, user name, tenant code, tenant name, project code, project name, data source type, database address, data source name, data source id, database account number, database password, and drive type.
4. The method of claim 1, wherein the fusing the fusible additional interface to the first common interface comprises:
and integrating the transmission parameters of the additional interface into the transmission parameters of the first public interface so that the first public interface realizes the interface function of the additional interface.
5. A tool integration apparatus for an analyst's table, the apparatus comprising:
the first determining module is used for determining a first public interface and an additional interface of the big data analysis tool;
the modification module is used for modifying the transmission parameters of the first public interface and the transmission parameters of the additional interface according to the data analysis requirement of the analyst workbench;
the second determining module is used for determining a fusible additional interface in the additional interfaces according to the data analysis requirement of the analyst workbench, wherein the fusible additional interface is an additional interface which can be fused to the first public interface;
the integration module is used for integrating the additional integration interface into the first public interface to obtain a second public interface, and the second public interface is used for enabling the big data analysis tool to be matched with the analyst workbench;
and the interface integration module is used for configuring an interface at the front end of the analyst workbench to input the interface address of the second public interface so as to enable the analyst workbench to call the big data analysis tool.
6. The apparatus of claim 5, wherein the big data analysis tool comprises at least one of:
a TIONE data modeling tool, an IDEX data exploration tool, a BI flexible analysis tool and an IRESRT data cloud table tool.
7. The apparatus of claim 5, wherein the data analysis requirements of the analyst's workstation indicate that the big data analysis tool performs modification of the transfer parameters of the first common interface and the transfer parameters of the additional interface corresponding to at least one of: user code, user name, tenant code, tenant name, project code, project name, data source type, database address, data source name, data source id, database account number, database password, and drive type.
8. The apparatus according to claim 5, wherein the integration module is specifically configured to integrate the transfer parameters of the additional interface into the transfer parameters of the first common interface, so that the first common interface implements the interface function of the additional interface.
9. A tool integration apparatus of an analyst's table, characterized in that the tool integration apparatus of the analyst's table comprises a memory and a processor for executing a program stored in the memory, running a tool integration method of the analyst's table according to any of claims 1 to 4.
10. A readable storage medium having stored thereon a computer program, which, when executed by a processor, implements the steps of the tool integration method of an analyst workstation according to any one of claims 1 to 4.
CN202311210921.6A 2023-09-20 2023-09-20 Tool integration method, device, equipment and medium of analyst workbench Pending CN117271637A (en)

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