CN112817956A - Data management system - Google Patents
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- CN112817956A CN112817956A CN202110151709.1A CN202110151709A CN112817956A CN 112817956 A CN112817956 A CN 112817956A CN 202110151709 A CN202110151709 A CN 202110151709A CN 112817956 A CN112817956 A CN 112817956A
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- 238000013523 data management Methods 0.000 title abstract description 8
- 238000012216 screening Methods 0.000 claims abstract description 32
- 230000010354 integration Effects 0.000 claims abstract description 17
- 238000004458 analytical method Methods 0.000 claims abstract description 13
- 238000007689 inspection Methods 0.000 claims abstract description 13
- 238000013461 design Methods 0.000 claims abstract description 7
- 238000000034 method Methods 0.000 abstract description 12
- 238000011144 upstream manufacturing Methods 0.000 abstract description 3
- 238000007726 management method Methods 0.000 description 6
- 238000013507 mapping Methods 0.000 description 4
- 239000000306 component Substances 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 239000008280 blood Substances 0.000 description 2
- 210000004369 blood Anatomy 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 239000008358 core component Substances 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 230000004927 fusion Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000003326 Quality management system Methods 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
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- 238000013475 authorization Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1446—Point-in-time backing up or restoration of persistent data
- G06F11/1448—Management of the data involved in backup or backup restore
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2471—Distributed queries
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/602—Providing cryptographic facilities or services
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Abstract
The application discloses a data management system, including system core spare, system data support database, data input module, data standard contrasts and screens out the unit, the standardized contrasts of metadata screening out the module, the standardized contrasts of model design screens out the module, first data output module, data distribution module, data integration module, data quality inspection module, data quality analysis module, data quality promotion module, second data output module, data numbering module, data backup database, the main database, data encryption module, security key identification module, data statistics tabulation module, account number login module, display module and operating module. The method has the advantages that the data are greatly improved in the aspects of accuracy and safety through standardization and flow of the data, an upstream system can be promoted to correct the data, and meanwhile, clear data support can be provided for a decision layer.
Description
Technical Field
The application relates to a data system, in particular to a data management system.
Background
The data is the result of facts or observations, is a logical summary of objective things, and is raw material used to represent the objective things; the data may be continuous values, such as sound, images, referred to as analog data; or discrete, such as symbols, words, called numerical data; data governance requires the use of a data governance system.
The defects of the existing data treatment are as follows: first, there is a lack of a uniform data source acquisition system; the method comprises the following steps that firstly, a data dictionary and a metadata management dictionary lack of standards; thirdly, a relation model layer is lacked, hierarchical division is not performed, and no subject division is performed; fourthly, a blood relationship mapping system is lacked, and the upper and lower levels of a task cannot be tracked; fifthly, a unified quality management system is lacked, and the data cannot be checked for offset, value range, normalization and the like; sixth, absent a metadata management system, the business meaning of a data item cannot be associated with the data item. Existing solutions, technical solutions known in the industry: scheme one, Dbus data management system: real-time or off-line data acquisition can be provided, and the data acquisition is fast; scheme two, a DataPipeline data fusion system: the operating system for realizing seamless data aggregation is provided, and data fusion is carried out by configuring different data sources, connection modes and mapping relations. The first problem is that the scheme is a technical solution used by many small and medium-sized companies at present, supports most of different types of data sources, and simultaneously supports real-time data acquisition and calculation, but the scheme does not support metadata management and cannot map the blood relationship; the second problem is that the second scheme is a simple and practical data integration tool, which performs data integration between different data sources through mapping relationships, but has a single function, cannot perform large-batch calculation, and has disordered metadata records. Accordingly, a data management system is proposed to address the above problems.
Disclosure of Invention
In order to solve the defects of the prior art, the data management system comprises a system core piece, a data backup database and a main database, wherein an internal data standard comparing and screening unit, a data distribution module, a data integration module, a data quality inspection module, a data quality analysis module and a data quality improvement module of the system core piece are arranged in the system core piece; the data standard comparison screening unit and the data quality improving module are connected to one end of the data numbering module, and the other end of the data numbering module is connected with the data backup database and the main database; the data backup database and the main database are both connected to the data encryption module; the data encryption module is connected with one end of the account login module, and the other end of the account login module is connected with the display module.
Furthermore, a data input module is arranged inside the system core piece, and the data input module is connected with one end of the data standard comparison screening unit.
Further, the data standard comparison screening unit internally comprises a metadata standardized comparison screening module and a model design standardized comparison screening module.
Further, the system core component is connected with a system data support database.
Furthermore, a first data output module is arranged between the data standard comparison screening unit and the data distribution module, and one end of the first data output module is connected with the data numbering module.
Furthermore, the data quality improving module is connected with one end of a second data output module, and the other end of the second data output module is connected with the data numbering module.
Furthermore, one end of the system data support database is connected with the data encryption module.
Further, one end of the display module is connected with the operation module, and the other end of the display module is connected to the system core.
Furthermore, the main database is connected with a data statistics tabulation module, and one end of the data statistics tabulation module is connected with a system core component.
Further, the data encryption module is connected with one end of the security key identification module.
The beneficial effect of this application is: the invention of the patent is characterized in that through the data management system, definition can be provided for data, the source and the place of business data can be clearly displayed, tracing cost is saved for enterprise developers, and time is saved for marketers; the data is greatly improved in the aspects of accuracy and safety by standardizing and processing the data, an upstream system can be promoted to correct the data, and meanwhile, clear data support can be provided for a decision layer.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
FIG. 1 is a schematic overall structure diagram of an embodiment of the present application;
FIG. 2 is a schematic diagram of a data framework model architecture diagram according to an embodiment of the present application.
In the figure: 1. the system comprises a system core piece, 2, a system data supporting database, 3, a data input module, 4, a data standard comparison screening unit, 5, a metadata standardization comparison screening module, 6, a model design standardization comparison screening module, 7, a first data output module, 8, a data distribution module, 9, a data integration module, 10, a data quality inspection module, 11, a data quality analysis module, 12, a data quality promotion module, 13, a second data output module, 14, a data numbering module, 15, a data backup database, 16, a main database, 17, a data encryption module, 18, a security key identification module, 19, a data statistics tabulation module, 20, an account number logging module, 21, a display module, 22 and an operation module.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. 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.
In this application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings. These terms are used primarily to better describe the present application and its embodiments, and are not used to limit the indicated devices, elements or components to a particular orientation or to be constructed and operated in a particular orientation.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meaning of these terms in this application will be understood by those of ordinary skill in the art as appropriate.
Furthermore, the terms "mounted," "disposed," "provided," "connected," and "sleeved" are to be construed broadly. For example, it may be a fixed connection, a removable connection, or a unitary construction; can be a mechanical connection, or an electrical connection; may be directly connected, or indirectly connected through intervening media, or may be in internal communication between two devices, elements or components. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Referring to fig. 1-2, the data administration system includes a system core 1, a data backup database 15 and a primary database 16, the internal data standard comparison screening unit 4, the data distribution module 8, the data integration module 9, the data quality inspection module 10, the data quality analysis module 11 and the data quality improvement module 12 of the system core part 1, one end of the data standard comparison screening unit 4 is connected with one end of a data distribution module 8, the other end of the data distribution module 8 is connected with one end of a data integration module 9, the other end of the data integration module 9 is connected with one end of a data quality inspection module 10, the other end of the data quality inspection module 10 is connected with one end of a data quality analysis module 11, the other end of the data quality analysis module 11 is connected with one end of the data quality improving module 12;
the data standard comparison screening unit 4 and the data quality improving module 12 are both connected to one end of a data numbering module 14, and the other end of the data numbering module 14 is connected with a data backup database 15 and a main database 16;
the data backup database 15 and the main database 16 are both connected to the data encryption module 17;
the data encryption module 17 is connected with one end of the account login module 20, and the other end of the account login module 20 is connected with the display module 21.
The system core piece 1 is internally provided with a data input module 3, and the data input module 3 is connected with one end of a data standard comparison screening unit 4.
The data standard comparison screening unit 4 comprises a metadata standardized comparison screening module 5 and a model design standardized comparison screening module 6.
The system core 1 is connected with a system data support database 2.
A first data output module 7 is arranged between the data standard comparison screening unit 4 and the data distribution module 8, and one end of the first data output module 7 is connected with a data numbering module 14.
The data quality improving module 12 is connected to one end of the second data output module 13, and the other end of the second data output module 13 is connected to the data numbering module 14.
One end of the system data support database 2 is connected with a data encryption module 17.
One end of the display module 21 is connected to the operation module 22, and the other end of the display module 21 is connected to the system core 1.
The main database 16 is connected with a data statistics tabulation module 19, and one end of the data statistics tabulation module 19 is connected with the system core 1.
The data encryption module 17 is connected with one end of the security key identification module 18.
And functional module interpretation:
1. data standard: including metadata standardization, model design standardization, etc. Namely, the data standard is compared with the screening unit 4 to realize screening, and the unqualified data is returned
2. Data architecture: including data storage, data distribution, data integration and sharing. Namely a data distribution module 8 and a data integration module 9, realizes data distribution and data integration, and inputs the data into a data backup database 15 and a main database 16 through a data input module 3 for storage, wherein the stored data is data which is not processed by data quality, and provides traceability
3. Data quality: including data quality inspection, data quality analysis, and data quality improvement. Namely a data quality inspection module 10, a data quality analysis module 11 and a data quality improvement module 12, to realize the integration of data quality
4. And (3) data security: the method comprises data security policy, data security management and data security audit.
5. Data application: including data analysis, data development sharing, and data services.
Data standard: and carrying out uniform mapping management on the metadata and the model, wherein indexes with uniform business meanings have to use uniform identifications in the aspects of types and names.
Data architecture: and (3) adopting star dimension modeling, and identifying and translating code values through main foreign keys, as shown in FIG. 2.
Data quality: and carrying out uniform integrity, consistency, timeliness, effectiveness, accuracy and uniqueness verification on the access data.
Integrity-the integrity of the data necessary is measured.
Uniqueness-there is no duplicate data value for a certain data item or a certain set of data. The value must be unique as ID class data.
And timeliness, namely, ensuring that the data is updated in time according to the requirement of the user on the time and timeliness of information acquisition on the satisfaction degree of the data updating frequency.
Validity, the value and format requirements for the data conform to the requirements of the data definition or the service definition.
Accuracy-it is ensured that the data must reflect the true business content.
Consistency-the type and meaning of data elements must be consistent and clear.
And (3) data security: the data security is controlled from the service process, the data is encrypted when entering the middle station, the security key can only be kept in the hands of a few people, and meanwhile, strict control on the process is needed when sensitive data are provided outside, and professional personnel are needed to take charge of service export.
Data application: specific business detail data are provided for sales personnel, so that business tracking is facilitated, and accurate statistical reports are provided for a management layer so as to provide decision support.
The using method comprises the following steps: after being input through the data input module 3, the data enters the data standard comparison screening unit 4, is compared and screened through the metadata standardized comparison screening module 5 and the model design standardized comparison screening module 6, qualified data is transmitted to the next step and is transmitted to the first data output module 7 and the data distribution module 8, is transmitted to the data numbering module 14 through the first data output module 7 and is numbered as a qualified original file, and is stored in the data backup database 15 and the main database 16 for tracing, and after being input into the data distribution module 8, the data is distributed and processed, then the data enters the data integration module 9 for data integration, enters the data quality inspection module 10 for quality inspection, enters the data quality analysis module 11 for quality analysis processing, and then enters the data quality improvement module 12, the second data output module 13 inputs the data into the data numbering module 14, the number of the data is the same as the original data number, and the data is stored into the data backup database 15 and the main database 16 for storage and arrangement;
when data needs to be searched, the operation module 22 is used for operating, the display module 21 is used for displaying, the account login module 20 is used for logging in, individual important accounts have security keys, accounts with security keys can be operated, accounts without security keys cannot be operated, extra authorization is needed, the accounts with security keys are identified through the data encryption module 17 and the security key identification module 18, and data can be inquired and traced manually;
the internal part of the system is also provided with a data statistics tabulation module 19 which can perform automatic tabulation and auxiliary query, and the standardization and the process of the data greatly improve the accuracy and the safety of the data, can promote an upstream system to correct the data and can also provide clear data support for a decision layer.
It is well within the skill of those in the art to implement, without undue experimentation, the present application is not directed to software and process improvements, as they relate to circuits and electronic components and modules.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. Data governance system, its characterized in that: comprises a system core (1), a data backup database (15) and a main database (16), the internal data standard comparison screening unit (4), the data distribution module (8), the data integration module (9), the data quality inspection module (10), the data quality analysis module (11) and the data quality improvement module (12) of the system core piece (1), one end of the data standard comparison screening unit (4) is connected with one end of the data distribution module (8), the other end of the data distribution module (8) is connected with one end of the data integration module (9), the other end of the data integration module (9) is connected with one end of the data quality inspection module (10), the other end of the data quality inspection module (10) is connected with one end of the data quality analysis module (11), the other end of the data quality analysis module (11) is connected with one end of the data quality improvement module (12);
the data standard comparison screening unit (4) and the data quality improving module (12) are both connected to one end of a data numbering module (14), and the other end of the data numbering module (14) is connected with a data backup database (15) and a main database (16);
the data backup database (15) and the main database (16) are both connected to the data encryption module (17);
the data encryption module (17) is connected with one end of the account login module (20), and the other end of the account login module (20) is connected with the display module (21).
2. The data governance system of claim 1, wherein: the system core piece (1) is internally provided with a data input module (3), and the data input module (3) is connected with one end of a data standard comparison screening unit (4).
3. The data governance system of claim 1, wherein: the data standard comparison screening unit (4) comprises a metadata standardization comparison screening module (5) and a model design standardization comparison screening module (6) inside.
4. The data governance system of claim 1, wherein: the system core piece (1) is connected with a system data support database (2).
5. The data governance system of claim 1, wherein: a first data output module (7) is arranged between the data standard comparison screening unit (4) and the data distribution module (8), and one end of the first data output module (7) is connected with the data numbering module (14).
6. The data governance system of claim 1, wherein: the data quality improving module (12) is connected with one end of a second data output module (13), and the other end of the second data output module (13) is connected with a data numbering module (14).
7. The data governance system of claim 1, wherein: one end of the system data support database (2) is connected with a data encryption module (17).
8. The data governance system of claim 1, wherein: one end of the display module (21) is connected with the operation module (22), and the other end of the display module (21) is connected to the system core (1).
9. The data governance system of claim 1, wherein: the main database (16) is connected with a data statistics tabulation module (19), and one end of the data statistics tabulation module (19) is connected with the system core piece (1).
10. The data governance system of claim 1, wherein: the data encryption module (17) is connected with one end of the security key identification module (18).
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| CN113722367A (en) * | 2021-09-16 | 2021-11-30 | 北京航空航天大学 | Cache database data organization method and system |
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