CN105893522A - System for developing, generating and managing large-data analysis model business - Google Patents
System for developing, generating and managing large-data analysis model business Download PDFInfo
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Abstract
The invention discloses a system for developing, generating and managing large-data analysis model business. The system comprises a user terminal, a server terminal and a cloud calculating and storing platform. The user terminal comprises a user-model designing and generating subsystem and a local model database. The server terminal comprises a tenant managing subsystem, a model auditing and trading subsystem, a model explaining and compiling subsystem, a model executing and dispatching subsystem, a model metadata managing subsystem, a calculated-result showing subsystem, a model trading database, a metadata base and a model API database. According to a frame, an efficient large-data operation-and-maintenance mode with centralized-distributed controllable, manageable and tradable calculating resources, model resources and storage resources is adopted, and six functions such as data-distributed data storing and calculating platform, model designing and generating, model managing and trading, model-quality auditing and verifying, model explaining and executing and tenant managing and accessing controlling are specially covered.
Description
Technical field
The invention belongs to big data analysis and development process field, particularly a kind of big Data Analysis Model business development generates and management system.
Background technology
In recent years, increasingly mature along with the big data correlation techniques of scale, the research of big data model has been achieved for much achieving, and applies to every aspect such as ecommerce, financial field, stock market, social networks and medical treatment & health field in life.
Therefore, while forming a set of big Data Analysis Model, in addition it is also necessary to research and develop a big data model exploitation and generate and Governance framework, provide for change for different users, the exploitation of intelligentized big data model generates, and meets the individual demand of user and just seems and be extremely necessary.
Current big data storage calculating center construction technique is the most ripe, defines the commercially produced products such as such as Cloudera, GBase, TeraData, provides preferable technology for Constructing data center and product prepares.But, big Data Analysis Model aspect big data analysis, particularly Industry-oriented business, customizable, product is rare.Main reason is that: (1) profession threshold causes analyzing modelling difficulty.Data Analysis Model designer lacks profession knowledge, causes being difficult to design the mold product meeting demand；(2) data potential value is uncertain.Business personnel is unclear to data potential value, particularly break-up value, causes business personnel to be difficult to propose concrete data analysis requirements；(3) business obvious difference between industry, it is difficult to form inter-trade Data Analysis Model.R&D team is thought, business intelligence fractional analysis market demand one can play industry practitioner's business speciality, the data storage connecting big data analysis designer and industry practitioner, analyze and model management system.
Summary of the invention
It is an object of the invention to overcome existing big data analysis product not enough in terms of big Data Analysis Model Industry-oriented business, customizable, a kind of big Data Analysis Model business development is provided to generate and management system, the efficient big data O&M pattern that the integrated distribution formula of the employing calculating of this system, model and storage resource is controlled, can manage, can conclude the business, specifically contains the six functionses such as data Distributed Storage calculating platform, modelling and generation, model management and transaction, model quality review and validation, model explanation and execution, tenant's management and access control.
It is an object of the invention to be achieved through the following technical solutions: a kind of big Data Analysis Model business development generates and management system, it includes user side, service end and cloud computing and storage platform, described user side includes user model design and generates subsystem and model local data base, user model design and generation subsystem, visual model analysis is provided, designs, test, issue, perform result graphical representation function, model local data library storage this locality model data；
Described service end includes:
Tenant manages subsystem, it is provided that many tenants model uses management, charging, function of statistic analysis；
Model examination & verification business subsystem, it is provided that model issue, background audit, run time verification, order submission, order examination & verification, order payment function；
Model explanation and compiler subsystem, it is provided that model functional interpretation analysis, model compilation and operation systematic function；
Model performs scheduler subsystem, it is provided that multiuser distributed model performs scheduling feature；
Model metadata management subsystem, it is provided that include that model labeling describes, model library API associates, the metadata management function of model Transaction Information；
Result of calculation shows subsystem, it is provided that variation the model calculation shows function；
Model transaction data base, stores model transactional related data；
Metadatabase, stores metadata；
Model API data storehouse, stores model API.
Described user model design provides the exploitation of patterned user big Data Analysis Model to generate interface with generating subsystem, the open existing analysis model professional ability of simultaneity factor is called, for user, there is provided and analyze model running, result is shown, model is issued, the function of purchase, promotes sharing and multiplexing of big Data Analysis Model.
Described model examination & verification business subsystem provides artificial and rule-based model audit function, the model integrity security function providing model running authentication function based on result of calculation, offer to calculate based on hash, provides model trading function based on Third-party payment platform.
Described model explanation and compiler subsystem are on the basis of self-defined XML tag mode, model call relation is converted into DAG figure, and analysis changes into the job script that can be calculated storage land identification by big data, it is possible to carry out model nest relation inspection, model calls consistency check, model calls scope check.
Described model metadata management subsystem self-defined XML tag model, on the basis of model labelling, it is provided that model keyword retrieval, recommendation, model source tracing function.
Described result of calculation shows that subsystem utilizes conventional data to drive interface, it is provided that relational data, non-relational data chart dynamically, static display function, support that custom data is explained, presented；Support that the chart that user pulls represents function.
Described model performs the scheduling feature of scheduler subsystem and includes that model static analysis and scheduling, model perform historical analysis and submit to scheduling, the request of execution and result passback.
Described user uses user model design and the mode generating subsystem to include way of paying and free mode.
Described model transaction includes that model has the right to conclude the business and model transaction of servitude.
Described model labelling includes that the major function of model, data process object, proprietary rights, source and resource requirement.
The invention has the beneficial effects as follows: the invention provides a kind of big Data Analysis Model business development generation and management system, the efficient big data O&M pattern that the integrated distribution formula of the employing calculating of this system, model and storage resource is controlled, can manage, can conclude the business, specifically contains the six functionses such as data Distributed Storage calculating platform, modelling and generation, model management and transaction, model quality review and validation, model explanation and execution, tenant's management and access control.
Accompanying drawing explanation
Fig. 1 is that big Data Analysis Model business development generates and management system architecture diagram；
Fig. 2 designs for user model and generates subsystem structure block diagram；
Fig. 3 is the workflow diagram of Visualization Model designer；
Fig. 4 is user's register flow path figure.
Detailed description of the invention
Technical scheme is described in further detail below in conjunction with the accompanying drawings, but protection scope of the present invention is not limited to the following stated.
As shown in Figure 1, a kind of big Data Analysis Model business development generates and management system, it includes user side, service end and cloud computing and storage platform, described user side includes user model design and generates subsystem and model local data base, user model design and generation subsystem, visual model analysis is provided, designs, test, issue, perform result graphical representation function, model local data library storage this locality model data；
Described service end includes:
Tenant manages subsystem, it is provided that many tenants model uses management, charging, function of statistic analysis；
Model examination & verification business subsystem, it is provided that model issue, background audit, run time verification, order submission, order examination & verification, order payment function；
Model explanation and compiler subsystem, it is provided that model functional interpretation analysis, model compilation and operation systematic function；
Model performs scheduler subsystem, it is provided that multiuser distributed model performs scheduling feature；
Model metadata management subsystem, it is provided that include that model labeling describes, model library API associates, the metadata management function of model Transaction Information；
Result of calculation shows subsystem, it is provided that variation the model calculation shows function；
Model transaction data base, stores model transactional related data；
Metadatabase, stores metadata；
Model API data storehouse, stores model API.
Described user model design provides the exploitation of patterned user big Data Analysis Model to generate interface with generating subsystem, the open existing analysis model professional ability of simultaneity factor is called, for user, there is provided and analyze model running, result is shown, model is issued, the function of purchase, promotes sharing and multiplexing of big Data Analysis Model.
Described model examination & verification business subsystem provides artificial and rule-based model audit function, the model integrity security function providing model running authentication function based on result of calculation, offer to calculate based on hash, provides model trading function based on Third-party payment platform.
Described model explanation and compiler subsystem are on the basis of self-defined XML tag mode, model call relation is converted into DAG figure, and analysis changes into the job script that can be calculated storage land identification by big data, it is possible to carry out model nest relation inspection, model calls consistency check, model calls scope check.
Described model metadata management subsystem self-defined XML tag model, on the basis of model labelling, it is provided that model keyword retrieval, recommendation, model source tracing function.
Described result of calculation shows that subsystem utilizes conventional data to drive interface, it is provided that relational data, non-relational data chart dynamically, static display function, support that custom data is explained, presented；Support that the chart that user pulls represents function.
Described model performs the scheduling feature of scheduler subsystem and includes that model static analysis and scheduling, model perform historical analysis and submit to scheduling, the request of execution and result passback.
Described user uses user model design and the mode generating subsystem to include way of paying and free mode.
Described model transaction includes that model has the right to conclude the business and model transaction of servitude.
Described model labelling includes that the major function of model, data process object, proprietary rights, source and resource requirement.
User model design includes following term and basic conception with generating subsystem:
1) model a: model is that multiple step connects, by jumping, the logic DAG network formed；Model is arranged composition by step, jumping, model entrance and model；.One single model entrance repeatedly can be placed on painting canvas；For example, it is possible to pick up one to make model port as single, drop it off on painting canvas with different configurations.Model arranges the option being to control a model behavior with the method recording a model manipulation；The most multiple built-up pattern of model is constituted；Built-up pattern is made up of multiple sub-portfolio models；Minimum sub-portfolio model is made up of multiple atomic model；One minimum combination model can comprise the atomic model that multiple order performs；Atomic model is made up of one or more basic models.Basic model: batch processing and streaming MapRedurce and Spark two class basic model.Constitute unit submodel isolated foundation model can be batch processing model can also be Stream Processing model.
2) step and jumping: step is MapReduce or Spark data processing model assembly, such as text input or the output of Hive table.User model design provides, with generating, the step being grouped more than 140 kinds by function in subsystem；Such as, input, output, script etc..Jumping is the data path of Connection Step, data are allowed to transmit between two steps, one step can have many jumping to connect, having some is that two steps are linked together, some are had then to be intended only as the input of a step or output, in a conversion, data flow to different steps from a step, user model design is jumped with generating to represent with an arrow in subsystem, jump and allow data to transmit between step, the also flow direction between determination data stream, if a step sends output to more than one subsequent step, so data or be copied to each subsequent step, or be distributed on subsequent step.
3) user's group: comprise the group of multiple user, in group user can realize data, business, model share.
4) user: system user of service and management personnel.
5) user role: system manager, modelling manager, service design manager, data administrator, Service User, data consumer.
6) business a: item data is loaded into, analyzes displaying business, and business packet contains multiple models.
7) data permission: include readable, writeable, three classes can be looked into.
8) service authority: include readable, writeable, can look into, four classes can be performed.
Native system proposes a kind of business model towards many tenants and manages platform framework, it is intended to build a SaaS application in business model storehouse with many tenants feature, tenant's administrative model version effectively can be made by this application, individual demand to tenant's business model simultaneously, it is provided that corresponding model customizing service.
As in figure 2 it is shown, user model design and the system structure generating subsystem are divided into three layers: application layer, engine layers and inner nuclear layer；Application layer provides visual model engineer, submits test, analysis result graphic software platform function to；Engine layers comprises metadata engine, basic model control, self-definition model control and model running to be followed the tracks of；Inner nuclear layer comprises user authentication, metadata storage kernel, safety encryption kernel, resolver kernel, daily record kernel and abnormality processing kernel, and described user model design also provides for the support to mainstream operation system with generating subsystem；Support the data source in multiple CDH；Integrated script development environment, supports the editor of script, runs and debug；Comprehensively data acquisition, change, analyze, export (data integration) function；Thering is provided CDH is to calculate and the big data model process submission of storage engines, issue, performs and analytic function；The metadata management of support model with import and export, provide and dispose easily and portability function；Support the Mapping and Converting of various field level, such as type conversion, field computing, reference conversion, string processing, character set conversion, processing empty value, date conversion, aggregate operation, set value, field cutting, field merging etc..
Being illustrated in figure 3 Visualization Model designer workflow diagram, Visualization Model designer realizes the combination of multiple basic model by visual means, and model is carried out secondary visual edit, the complex model customized for concrete service generation.Basic model includes that start, end, basic calculation are analyzed model, redirected model, management and control model；Realize the abstract to marriage relation to define.
When carrying out the exploitation of big data model and generating, the user first passing through user authentication is developed authority and access rights accordingly, and the register flow path of tenant is as shown in Figure 4.
Claims (10)
1. a big Data Analysis Model business development generates and management system, it includes user side, service end and cloud computing and storage platform, it is characterized in that: described user side includes user model design and generates subsystem and model local data base, user model design and generation subsystem, visual model analysis is provided, designs, test, issue, perform result graphical representation function, model local data library storage this locality model data；
Described service end includes:
Tenant manages subsystem, it is provided that many tenants model uses management, charging, function of statistic analysis；
Model examination & verification business subsystem, it is provided that model issue, background audit, run time verification, order submission, order examination & verification, order payment function；
Model explanation and compiler subsystem, it is provided that model functional interpretation analysis, model compilation and operation systematic function；
Model performs scheduler subsystem, it is provided that multiuser distributed model performs scheduling feature；
Model metadata management subsystem, it is provided that include that model labeling describes, model library API associates, the metadata management function of model Transaction Information；
Result of calculation shows subsystem, it is provided that variation the model calculation shows function；
Model transaction data base, stores model transactional related data；
Metadatabase, stores metadata；
Model API data storehouse, stores model API.
One the most according to claim 1 big Data Analysis Model business development generates and management system, it is characterized in that: described user model design provides the exploitation of patterned user big Data Analysis Model to generate interface with generating subsystem, the open existing analysis model professional ability of simultaneity factor is called, for user, there is provided and analyze model running, result is shown, model is issued, the function of purchase, promotes sharing and multiplexing of big Data Analysis Model.
One the most according to claim 1 big Data Analysis Model business development generates and the system of management, it is characterised in that: described model is audited business subsystem and is provided artificial and rule-based model audit function, offer model running authentication function based on result of calculation, provides model integrity security function based on hash calculating, offer model trading function based on Third-party payment platform.
One the most according to claim 1 big Data Analysis Model business development generates and management system, it is characterized in that: described model explanation and compiler subsystem are on the basis of self-defined XML tag mode, model call relation is converted into DAG figure, and analysis changes into the job script that can be calculated storage land identification by big data, it is possible to carry out model nest relation inspection, model calls consistency check, model calls scope check.
One the most according to claim 1 big Data Analysis Model business development generates and management system, it is characterized in that: described model metadata management subsystem self-defined XML tag model, on the basis of model labelling, it is provided that model keyword retrieval, recommendation, model source tracing function.
One the most according to claim 1 big Data Analysis Model business development generates and management system, it is characterized in that: described result of calculation shows that subsystem utilizes conventional data to drive interface, there is provided relational data, non-relational data chart dynamically, static display function, support that custom data is explained, presented；Support that the chart that user pulls represents function.
One the most according to claim 1 big Data Analysis Model business development generates and management system, it is characterised in that: described model performs the scheduling feature of scheduler subsystem and includes that model static analysis and scheduling, model perform historical analysis and submit to scheduling, the request of execution and result passback.
One the most according to claim 2 big Data Analysis Model business development generates and management system, it is characterised in that: described user uses user model design and the mode generating subsystem to include way of paying and free mode.
One the most according to claim 3 big Data Analysis Model business development generates and management system, it is characterised in that: described model transaction includes that model has the right to conclude the business and model transaction of servitude.
One the most according to claim 5 big Data Analysis Model business development generates and management system, it is characterised in that: described model labelling includes that the major function of model, data process object, proprietary rights, source and resource requirement.
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106776326A (en) * | 2016-12-20 | 2017-05-31 | 中国农业银行股份有限公司 | The modeling method and system of a kind of Data Analysis Model |
| CN108108209A (en) * | 2017-12-28 | 2018-06-01 | 中交水运规划设计院有限公司 | Interworking architecture, exchange method and the storage medium of computation model |
| CN108874395A (en) * | 2018-05-22 | 2018-11-23 | 四川创意信息技术股份有限公司 | Hard Compilation Method and device during a kind of modularization stream process |
| CN109002548A (en) * | 2018-07-31 | 2018-12-14 | 长沙龙生光启新材料科技有限公司 | A kind of couple of multi-user carries out the method and system of big data analysis |
| CN109711825A (en) * | 2018-12-29 | 2019-05-03 | 北京航天数据股份有限公司 | A kind of comprehensive method of commerce of industry pattern and the comprehensive transaction platform of industry pattern |
| CN110231939A (en) * | 2019-05-16 | 2019-09-13 | 平安科技（深圳）有限公司 | Model generating method, system, computer equipment and storage medium |
| CN110750530A (en) * | 2019-09-11 | 2020-02-04 | 口碑(上海)信息技术有限公司 | Service system and data checking method thereof |
| CN110837620A (en) * | 2019-11-14 | 2020-02-25 | 帝国理工创新有限公司 | Advanced online database system for publishing and running model and hosting data |
| CN111523808A (en) * | 2020-04-24 | 2020-08-11 | 同盾控股有限公司 | Model centralized management method, system, equipment and storage medium |
| CN111523810A (en) * | 2020-04-24 | 2020-08-11 | 同盾控股有限公司 | Enterprise-level model management method, system, device and storage medium |
| CN111866177A (en) * | 2020-08-04 | 2020-10-30 | 蝉鸣科技(西安)有限公司 | Function management method and system on SaaS platform |
| CN112947919A (en) * | 2019-11-26 | 2021-06-11 | 北京京东振世信息技术有限公司 | Method and device for constructing service model and processing service request |
| CN114925045A (en) * | 2022-04-11 | 2022-08-19 | 杭州半云科技有限公司 | PaaS platform for large data integration and management |
| US11556821B2 (en) | 2019-09-17 | 2023-01-17 | International Business Machines Corporation | Intelligent framework updater to incorporate framework changes into data analysis models |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080256186A1 (en) * | 2007-04-12 | 2008-10-16 | Hartmann Thomas W | Collaboration system |
| US20090288066A1 (en) * | 2008-02-12 | 2009-11-19 | Electronics And Telecommunications Research Institute | Editing apparatus and method for test driven development |
| CN102968332A (en) * | 2011-02-10 | 2013-03-13 | 德商赛克公司 | Systems and/or methods for identifying and resolving complex model merge conflicts based on atomic merge conflicts |
| CN103942089A (en) * | 2014-04-11 | 2014-07-23 | 北京理工大学 | Simulation resource model base management system |
| CN104573063A (en) * | 2015-01-23 | 2015-04-29 | 四川中科腾信科技有限公司 | Data analysis method based on big data |
| CN104699777A (en) * | 2015-03-10 | 2015-06-10 | 中国联合网络通信集团有限公司 | Association method and system of management plane and service plane of big data analysis and mining |
| CN104881491A (en) * | 2015-06-11 | 2015-09-02 | 广州市云润大数据服务有限公司 | Software development system based on big data platform |
-
2016
- 2016-03-30 CN CN201610194429.8A patent/CN105893522B/en not_active Expired - Fee Related
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080256186A1 (en) * | 2007-04-12 | 2008-10-16 | Hartmann Thomas W | Collaboration system |
| US20090288066A1 (en) * | 2008-02-12 | 2009-11-19 | Electronics And Telecommunications Research Institute | Editing apparatus and method for test driven development |
| CN102968332A (en) * | 2011-02-10 | 2013-03-13 | 德商赛克公司 | Systems and/or methods for identifying and resolving complex model merge conflicts based on atomic merge conflicts |
| CN103942089A (en) * | 2014-04-11 | 2014-07-23 | 北京理工大学 | Simulation resource model base management system |
| CN104573063A (en) * | 2015-01-23 | 2015-04-29 | 四川中科腾信科技有限公司 | Data analysis method based on big data |
| CN104699777A (en) * | 2015-03-10 | 2015-06-10 | 中国联合网络通信集团有限公司 | Association method and system of management plane and service plane of big data analysis and mining |
| CN104881491A (en) * | 2015-06-11 | 2015-09-02 | 广州市云润大数据服务有限公司 | Software development system based on big data platform |
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106776326A (en) * | 2016-12-20 | 2017-05-31 | 中国农业银行股份有限公司 | The modeling method and system of a kind of Data Analysis Model |
| CN108108209A (en) * | 2017-12-28 | 2018-06-01 | 中交水运规划设计院有限公司 | Interworking architecture, exchange method and the storage medium of computation model |
| CN108874395B (en) * | 2018-05-22 | 2022-03-18 | 四川创意信息技术股份有限公司 | Hard compiling method and device in modular stream processing process |
| CN108874395A (en) * | 2018-05-22 | 2018-11-23 | 四川创意信息技术股份有限公司 | Hard Compilation Method and device during a kind of modularization stream process |
| CN109002548A (en) * | 2018-07-31 | 2018-12-14 | 长沙龙生光启新材料科技有限公司 | A kind of couple of multi-user carries out the method and system of big data analysis |
| CN109711825A (en) * | 2018-12-29 | 2019-05-03 | 北京航天数据股份有限公司 | A kind of comprehensive method of commerce of industry pattern and the comprehensive transaction platform of industry pattern |
| CN110231939A (en) * | 2019-05-16 | 2019-09-13 | 平安科技（深圳）有限公司 | Model generating method, system, computer equipment and storage medium |
| CN110231939B (en) * | 2019-05-16 | 2024-05-28 | 平安科技（深圳）有限公司 | Model generation method, system, computer device and storage medium |
| CN110750530A (en) * | 2019-09-11 | 2020-02-04 | 口碑(上海)信息技术有限公司 | Service system and data checking method thereof |
| US11556821B2 (en) | 2019-09-17 | 2023-01-17 | International Business Machines Corporation | Intelligent framework updater to incorporate framework changes into data analysis models |
| CN110837620A (en) * | 2019-11-14 | 2020-02-25 | 帝国理工创新有限公司 | Advanced online database system for publishing and running model and hosting data |
| CN112947919A (en) * | 2019-11-26 | 2021-06-11 | 北京京东振世信息技术有限公司 | Method and device for constructing service model and processing service request |
| CN111523810A (en) * | 2020-04-24 | 2020-08-11 | 同盾控股有限公司 | Enterprise-level model management method, system, device and storage medium |
| CN111523808B (en) * | 2020-04-24 | 2022-12-16 | 中国建设银行股份有限公司 | Model centralized management method, system, equipment and storage medium |
| CN111523808A (en) * | 2020-04-24 | 2020-08-11 | 同盾控股有限公司 | Model centralized management method, system, equipment and storage medium |
| CN111866177A (en) * | 2020-08-04 | 2020-10-30 | 蝉鸣科技(西安)有限公司 | Function management method and system on SaaS platform |
| CN111866177B (en) * | 2020-08-04 | 2023-03-24 | 蝉鸣科技(西安)有限公司 | Function management method and system on SaaS platform |
| CN114925045A (en) * | 2022-04-11 | 2022-08-19 | 杭州半云科技有限公司 | PaaS platform for large data integration and management |
| CN114925045B (en) * | 2022-04-11 | 2024-05-03 | 杭州半云科技有限公司 | PaaS platform for big data integration and management |
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