CN107172164A - Main data transmission and sharing system based on cloud security verification - Google Patents

Abstract

The invention discloses a master data transmission and sharing system based on cloud security verification, which relates to the field of information technology and mainly includes a generator, a master data system and a consumer; after the producer generates data, it calls the service provided by the master data system to transfer the data Transfer to the main data system. After the main data system receives the data, it backs up and cleans the data and sends it to the consumers immediately. After receiving the data, the consumers consume the data. The present invention greatly improves and improves the existing master data management capabilities, and effectively solves the problems of difficult data sharing, non-uniform standards, unintuitive management, invisibility, and incapable of statistics encountered by the current system, and makes the integration of various systems within the enterprise Data sharing and communication are more secure and reliable.

Description

A master data transmission and sharing system based on cloud security verification

technical field

The invention relates to the field of information technology, in particular to a master data transmission and sharing system based on cloud security verification.

Background technique

In recent years, enterprises have higher and higher requirements for data, and require unified, standard, intuitive, safe, visualized, and statistical management of data. Various business systems exist within the enterprise at the same time, such as human resource systems, financial systems, automated office systems, and so on. The business systems that produce data are called producers. These business systems often need to share data to a certain extent. In the past, there are two general solutions. First, start with the underlying database and export data to consumers. This method is the largest The disadvantages are: the data synchronization is not timely, time-consuming and labor-intensive, the data cannot be counted, and the uniformity, standardization, intuitiveness, and security of the data cannot be guaranteed, let alone visualized statistics, and the possibility of error is very high; second: consumers The biggest disadvantage of this method is that the data cannot be collected directly from the producer, the data cannot be counted, the security cannot be guaranteed, and the visual management cannot be performed. The data formats required by each system are different, resulting in the inability to conduct unified and standardized management of the data.

The present invention proposes a master data transmission and sharing method based on cloud security verification to solve the existing problems in the existing data management. Master data refers to the data to be shared among various systems throughout the enterprise. Master data usually has consistency, integrity, and controllability. Master data management refers to a set of constrained methods used to ensure the timeliness, meaning and quality of related data within an enterprise's subject domains and systems, as well as related data across subject domains and systems. The cloud refers to multiple virtual server clusters. The main data is stored on multiple server clusters instead of a single server. The same data is backed up multiple times to ensure data security.

Contents of the invention

Aiming at the needs and deficiencies of the current technological development, the present invention provides a master data transmission and sharing system based on cloud security verification.

According to the present invention, a master data transmission and sharing system based on cloud security verification, the technical solution adopted to solve the above technical problems is as follows: the master data transmission and sharing system based on cloud security verification mainly includes a generator, a master Data system and consumer; the generator refers to the system that provides shared data; the master data system refers to the system that manages shared data; the consumer refers to the system that uses shared data; the master data system mainly includes four modules : Model management module, authority management module, master data management module and monitoring statistics module;

After the producer generates the data, it calls the service provided by the master data system to transfer the data to the master data system. After the master data system receives the data, it backs up and cleans the data and sends it to the consumer immediately, and the consumer receives the data Then, consume the data.

Preferably, the model management module groups master data into data models according to application scenarios or business characteristics, and administrators can add model description information to these data models, and can clearly manage master data according to categories; model management The module provides a model field configuration interface, and users can configure model fields and define their own data models individually.

Preferably, the master data system provides producers with a large number of interfaces for adding, deleting, modifying and checking for each data model, and these interfaces are based on standard SOAP engine webservice services; and, the master data system is deployed In the cloud server cluster, it can receive a large amount of data concurrently, quickly record, clean and deliver the data.

Preferably, the authority management module assigns different master data model field authorities to different producers, and when the master data system receives the data delivered by the producer, it cleans the data delivered by the producer according to the field authority configured by the administrator; Users can freely subscribe to the data provided by the master data system, and after successful subscription, they can receive the shared data transmitted by the master data system in real time.

Preferably, the master data system provides a large number of service interfaces, these interfaces are based on the http open protocol, realize the identification of the http requester IP by the cloud server, support the analysis and verification of the token in the http request header and soapheader, and use RSA Symmetric encryption algorithm with a key length of 1024 bits.

Preferably, the master data management module takes the model as the main data unit, counts the total number of records, the number of valid records, and the number of obsolete records in the model, and the system user can retrieve the records in the model according to the conditions, and can retrieve each piece of data. Trace each change record and each distribution record; the master data flow log is used by the master data system to capture each record flowing through the master data in real time.

Preferably, the monitoring and statistics module is used to count the master data into visualized graphics according to different dimensions; monitor the services provided by the producer and the master data system in real time, know the running status of the service at any time, and send the master data system to Consumer data is monitored in real time, and the cause of data delivery failure can be grasped at the first time. Once consumption failure occurs, it can be manually re-delivered immediately.

Compared with the prior art, the master data transmission and sharing system based on cloud security verification described in the present invention has the beneficial effect that: the present invention monitors the flow direction of each piece of data in real time through the master data system, and each piece of data In order to ensure data security, a large number of standard webservice service interfaces are provided to reduce the cost of enterprise service development; it greatly improves the existing master data management capabilities, and effectively solves the problems encountered by the current system. Difficult data sharing, non-uniform standards, unintuitive management, invisibility, and incapable of statistics make the data sharing and communication between various systems within the enterprise more secure and reliable.

detailed description

In order to make the purpose, technical solution and advantages of the present invention more clear, the following will further describe the master data transmission and sharing system based on cloud security verification in the present invention in detail in combination with specific embodiments.

The present invention proposes a master data transmission and sharing system based on cloud security verification, which mainly includes a generator, a master data system, and a consumer; the generator refers to a system that provides shared data; the master data system refers to management and sharing The data system; the consumer refers to the system that uses shared data; all producers do not directly share data with consumers for use, but hand over all shared data to the master data system, and the master data system uniformly distributes the data to consumer.

The cloud refers to multiple virtual server clusters, the main data is stored on multiple server clusters instead of a single server, and the same data is backed up multiple times to ensure data security.

Example:

In the master data transmission and sharing system based on cloud security verification described in this embodiment, after the producer generates data, he calls the service provided by the master data system to transfer the data to the master data system. After the data is backed up and cleaned, it is sent to the consumer immediately, and the consumer consumes the data after receiving the data;

The master data system extracts all shared data into data models based on characteristics or business scenarios. Administrators can add model description information to these data models and assign field permissions to each generator individually.

The master data system mainly includes four modules: model management module, authority management module, master data management module and monitoring statistics module.

The model management module groups master data into data models according to application scenarios or business characteristics, and administrators can add model description information to these data models, and can clearly manage master data according to categories, greatly improving the management of data. efficiency; the model management module provides a model field configuration interface, and users can configure model fields and define their own data models individually.

The master data system provides producers with a large number of interfaces for adding, deleting, modifying, and checking for each data model. These interfaces are based on the standard widely used SOAP engine webservice service, which is convenient for producers to transmit data at the lowest cost. to the master data system. Moreover, the master data system is deployed in a cloud server cluster, which can receive a large amount of data concurrently, quickly record, clean and distribute these data.

The authority management module assigns different master data model field authorities to different producers, and when the master data system receives the data transmitted by the producer, it cleans the data transmitted by the producer according to the field authority configured by the administrator to ensure the security of the data Production; consumers can freely subscribe to the data provided by the master data system, and after successful subscription, they can receive the shared data transmitted by the master data system in real time.

The master data system provides a large number of service interfaces, these interfaces are based on the http open protocol, realize the identification of the http requester IP by the cloud server, support the analysis and verification of the token in the http request header and soapheader, and adopt the RSA asymmetric encryption algorithm , the key length is up to 1024 bits, ensuring that the source of the master data is safe and reliable.

The main data management module takes the model as the main data unit, counts the total number of records, the number of valid records, and the number of obsolete records in the model, and the system user can retrieve the records in the model according to the conditions, and can trace back every piece of data retrieved. The change record and each distribution record; the master data flow log is used by the master data system to capture each record flowing through the master data in real time, and record in detail when and what operation was performed on each piece of data.

The monitoring and statistics module is used to count the main data into visual graphics according to different dimensions, so that the changes of the data are clear at a glance; it monitors the services provided by the producer and the main data in real time, and knows the running status of the service at any time. The data sent to consumers is monitored in real time, and the reason for the failure of data delivery can be grasped at the first time. Once a consumption failure occurs, it can be manually re-delivered immediately.

It can be seen that the master data system described in this implementation is different from the current mainstream master data system sharing data mode. The master data system does not actively extract data, and the producer actively pushes the data to the master data system after producing data; the master data system After the data is backed up and cleaned, it is sent to the consumer immediately, so that the data can reach the consumer system in time, and there is no data out of sync situation.

The master data system can guarantee the data consistency of producers, master data systems, and consumers, and effectively resolve problems caused by data differences among producers, consumers, and master data systems. Moreover, the master data system generates multi-dimensional diagrams in real time to visualize data changes, allowing administrators to easily grasp changes in master data.

The master data system can not only push data to consumers in real time to ensure real-time data, but also provide a flexible query interface for each model to ensure data compensability. This push-pull combination makes data sharing timely , Convenient and flexible, consumers can freely choose the sharing method of master data according to their own characteristics.

The above-mentioned specific embodiments are only specific cases of the present invention, and the scope of patent protection of the present invention includes but is not limited to the above-mentioned specific embodiments, any claims that meet the claims of the present invention and any ordinary skilled person in the technical field. Appropriate changes or substitutions should fall within the scope of patent protection of the present invention.

Claims (7)

1. a kind of master data transfer and shared system based on high in the clouds safety check, it is characterised in that mainly including generator, Main data system and consumer；The generator refers to the system for providing shared data；The main data system refers to the shared number of management According to system, it mainly includes four modules：Model management module, authority management module, master data management module and monitoring system Count module；The consumer refers to the system using shared data；

After producer's generation data, data are handed to main data system, master data system by the service for calling main data system to provide System is received after these data, is issued to consumer immediately after to the backup of data, cleaning, consumer receives data Afterwards, these data are consumed.

2. a kind of master data transfer and shared system based on high in the clouds safety check according to claim 1, it is characterised in that The model management module is according to application scenarios or business characteristic, by master data packet into data model one by one, keeper's energy Model description information enough is added for these data models, clearly master data can be managed according to classification；Model management Module provides model field configuration interface, and user can allocation models field, the personalization definition data model of oneself.

3. a kind of master data transfer and shared system based on high in the clouds safety check according to claim 2, it is characterised in that The main data system provides the substantial amounts of interface for increasing, deleting, change, looking into for each data model for the producer, these interfaces with Based on the SOAP engine webservice services of standard；Also, the main data system is deployed in cloud server cluster, It can receive the concurrent of mass data, fast recording, clean and issue these data.

4. a kind of master data transfer and shared system based on high in the clouds safety check according to claim 3, it is characterised in that The authority management module distributes different master data model field authorities for the different producers, and main data system receives production During the data of person's transmission, cleaned according to the data that the field authority of administrator configurations is transmitted to the producer；Consumer can The data of main data system offer are freely provided, being capable of the shared number that is transmitted to main data system of real-time reception after subscribing to successfully According to.

5. a kind of master data transfer and shared system based on high in the clouds safety check according to claim 4, it is characterised in that The main data system provides substantial amounts of service interface, and these interfaces are based on http open protocols, realize cloud server pair Http request side IP identification, the parsing and checking for supporting token in http request header, soapheader, it is non-using RSA Symmetric encipherment algorithm, key length is up to 1024.

6. a kind of master data transfer and shared system based on high in the clouds safety check according to claim 5, it is characterised in that The master data management module is using model as primary data units, the statistical model total number of records, effectively record number, calcellation record number, System user can review the every data retrieved each change note according to the record in conditional information retrieval model Record and each distributed recorder；The daily record of master data flowing water is used for every record that main data system real-time capture flows through master data.

7. a kind of master data transfer and shared system based on high in the clouds safety check according to claim 6, it is characterised in that The monitoring statisticss module is used to master data counting into visual figure according to different dimensions；To the producer and master data system The service that system is provided is monitored in real time, and the running status of aware service, the number of consumer is handed down to main data system at any time According to being monitored in real time, the very first time grasps data distributing failure cause, once occurring consumption failure can enter again manually immediately Row is issued.