CN110851426A - Data DNA visualization relation analysis system and method - Google Patents
Data DNA visualization relation analysis system and method Download PDFInfo
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Abstract
The invention relates to a system and a method for analyzing a data DNA visualization relationship, which belong to the technical field of big data application and comprise the following steps: the system management module is used for completing basic configuration and maintenance of the system; the standardized management module is used for providing standards related to metadata which are defined and managed and providing visual audit reports; the metadata management module is used for realizing the management of metadata; the flow management module is used for realizing the related online function; the scheduling management module is used for managing a scheduling environment, configuring scheduling tasks and realizing data acquisition, processing and data sharing; the operation and maintenance monitoring module is used for monitoring and managing the system; the data quality module is used for evaluating and managing the quality of the managed data; the data directory module displays and manages the managed objects in a classified manner according to the directory configured by the user, so that the data are clearer; and the life cycle management module is used for managing the life cycle of the object managed by the system.
Description
Technical Field
The invention belongs to the technical field of big data application, and relates to a data DNA visualization relation analysis system.
Background
With the advent of the big data age, data is explosively increasing, and massive and various types of data are rapidly generated. The huge and complicated data information mainly surrounds data collection, storage and processing, or is specific to specific industries and fields, and is deficient in the aspects of effective management, full mining and utilization and efficient interactive sharing of collected data.
Along with the accumulation of data, the position of data as basic strategic resources is increasingly highlighted, and the access demands of more industries and fields are met, so that the market puts higher requirements on the data governance. The problems of platform universality, data right confirmation, data quality, data safety, privacy protection, circulation control, sharing openness and the like are increasingly highlighted.
And new data is generated through data fusion, conversion and circulation. The data are generated, processed, fused, circulated and circulated until the data are finally lost, and a pectoral relation is naturally formed among the data. Data DNA is a reference to a similar relationship in human society to express this relationship between data.
Disclosure of Invention
In view of this, the present invention provides a system and a method for analyzing a data DNA visualization relationship, which can manage data in multiple aspects, simplify data operation and maintenance and data use, and ensure consistency of data definition, transparency of data distribution, automation of data processing, and traceability of a processing process.
In order to achieve the purpose, the invention provides the following technical scheme:
in one aspect, the present invention provides a data DNA visualization relationship analysis system, including:
the system management module is used for completing basic configuration and maintenance of the system;
the standardized management module is used for providing standards related to the metadata which are defined and managed, carrying out self-defined audit on the managed metadata and finally providing a visual audit report;
the metadata management module is used for realizing the management of metadata, including the collection, storage, maintenance, quality management and analysis of the metadata;
the system comprises a process management module, a database management module and a database management module, wherein the process management module is used for realizing online related functions, the online refers to a state that a production database is automatically used when a system function runs, and a development database is used by default when the system function runs; the object online process is to process the object metadata according to the corresponding flow template.
The scheduling management module is used for managing a scheduling environment, configuring scheduling tasks and realizing data acquisition, processing and data sharing;
the operation and maintenance monitoring module is used for monitoring and managing a task scheduling environment and execution condition, a data acquisition interface scheduling execution condition and service data query;
the data quality module is used for evaluating and managing the quality of the managed data, and comprises the definition of an auditing function, the definition of an auditing rule, the management of an auditing threshold value and the setting of an alarm, and the inquiry of an auditing report;
the data directory module is used for displaying and managing the managed objects in a classified manner according to the directory configured by the user, so that the data is clearer, and the problem of data spreading is solved;
and the life cycle management module is used for managing the life cycle of the objects managed by the system, and covers the management of two types of objects, namely the table storage cycle and the application life cycle.
Further, the system management module comprises a tenant configuration module for managing users and a database configuration module for developing and debugging a database for a third-party platform.
Further, the standardized management module comprises an atomic dictionary management module corresponding to Chinese and English for defining an atomic dictionary related to metadata managed in the system, a field standard dictionary management module for defining field names of tables managed in the system, and an audit report module for generating audit reports of various types and dimensions.
Further, the metadata management module comprises
The metadata exchange module is used for providing a metadata automatic acquisition function and a timer function so as to provide service for a system scheduling system, and specifically comprises: the method comprises the following steps that a system initializes and defines a built-in JOB, a user uses the built-in JOB to instantiate a self-defined task, and a timer can be used for scheduling and running the task;
the metadata storage module is used for maintaining various metadata of the objects managed by the system, including tables, interfaces, programs, data exchange and data services;
the metadata maintenance module is used for completing the relationship between the blood relationship and the table fields of the metadata of the database table so as to analyze the traceability and the influence of all data maintained by the system and ensure the quality of the data;
the metadata quality module is used for carrying out specific quality audit on metadata of objects managed by the system and generating an audit report, wherein the audit report comprises integrity audit and model comparison audit, and the integrity audit carries out corresponding audit on key attribute integrity of objects (here, index database tables) maintained by the system, such as no Chinese annotation, no main model, isolated model and no field structure model; model comparison audit is used for auditing the difference between metadata maintained by a comparison warehouse and metadata of an actual service library, such as no data dictionary, no instance object and inconsistent field;
and the metadata analysis module is used for carrying out similarity analysis on the table model and the index model maintained by the system and generating an audit report.
In another aspect, the present invention provides a method for analyzing data DNA visualization relationship, comprising the following steps:
s1: identifying entity types such as a program, a source table, a target table, a source field, a target field and the like;
s2: processing a complex SQL sentence (comprising keywords such as join, union and the like) by an SQL syntax parser, splitting the complex SQL sentence and parsing the complex SQL sentence into a standard single-language sentence;
s3: establishing the relations between tables and fields by identifying key corresponding relation information including select from and insert inter, namely identifying the corresponding relation between a source table and a target table and between a source field and a target field;
s4: and screening fields or table information with the association relationship from a large amount of fields or table data, eliminating the temporary table or temporary field information, and storing the tables or fields with the association relationship through a linked list data structure.
The invention has the beneficial effects that:
the source tracing analysis of the data and the DNA relationship of the data mainly embody the venation of the data, can help a data manager to know the source and the processing process of the data, and can quickly locate the abnormal problem point when the data is abnormal.
The influence analysis of data, along with the expansion of data application, data processing link is more and more complicated, when a certain node of data changes, the data flow behind the node can be influenced, and through data DNA, the influence of upstream data change on downstream application can be quickly combed and evaluated.
The value analysis of the data and the measurement of the value of the data are very important problems.
The evaluation of the data value is mainly established on the following factors:
data usage amount: the number of data application terminals and the data use frequency.
Data capacity: data magnitude of the data.
Updating frequency: the frequency of updates to the data and the amount of data that is updated in a single time.
The problems can be easily known through data DNA, and managers can be helped to effectively evaluate the data value.
Data quality evaluation and application system support require high-requirement data quality, control must be performed at a data source, and the data source generating quality problems can be rapidly analyzed through data DNA, so that the data quality can be improved in a targeted manner.
In the life cycle of data, through the analysis of data DNA, an isolated data model with low use frequency and low value can be quickly found, so that the data can be effectively filed, migrated and destroyed.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention may be realized and attained by the means of the instrumentalities and combinations particularly pointed out hereinafter.
Drawings
For the purposes of promoting a better understanding of the objects, aspects and advantages of the invention, reference will now be made to the following detailed description taken in conjunction with the accompanying drawings in which:
FIG. 1 is a schematic structural diagram of a data DNA visualization relationship analysis system;
FIG. 2 is a schematic flow chart of a data DNA visualization relationship analysis method.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention in a schematic way, and the features in the following embodiments and examples may be combined with each other without conflict.
Wherein the showings are for the purpose of illustrating the invention only and not for the purpose of limiting the same, and in which there is shown by way of illustration only and not in the drawings in which there is no intention to limit the invention thereto; to better illustrate the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
The same or similar reference numerals in the drawings of the embodiments of the present invention correspond to the same or similar components; in the description of the present invention, it should be understood that if there is an orientation or positional relationship indicated by terms such as "upper", "lower", "left", "right", "front", "rear", etc., based on the orientation or positional relationship shown in the drawings, it is only for convenience of description and simplification of description, but it is not an indication or suggestion that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and therefore, the terms describing the positional relationship in the drawings are only used for illustrative purposes, and are not to be construed as limiting the present invention, and the specific meaning of the terms may be understood by those skilled in the art according to specific situations.
In one aspect, the present invention provides a data DNA visualization relationship analysis system, as shown in fig. 1, including:
and the system management module is mainly used for completing some basic configuration and maintenance of the system, such as a system function module, a system role, a system user, a system data dictionary, system global parameters, tenants, a data platform and the like. Before a new platform accesses the system, some basic configurations need to be initialized under the module, wherein tenant and data platform configurations need to be specially explained; this concept is commonly used for PAAS platforms, so called tenants. The tenant concept is introduced and reserved in the digital workshop project, and preparation is made for creating products with universality for the project later. The system management module comprises a tenant configuration module for managing users, and in the system, tenants are equivalent to the concept of user groups. There may be multiple users under a tenant, and the data permissions in the system are mostly based on the tenant. When a new third-party organization (platform) needs to access a system for maintenance, a tenant is generally established for the organization, and then users with different roles belonging to the tenant are established. The system also comprises a database configuration module used for developing and debugging the database for the third-party platform. When a new third-party organization (platform) needs to be accessed into the system for maintenance, a system administrator needs to build a database such as a front-end processor database, a data warehouse, a theme library and the like for the third-party organization. The development database configuration management module is mainly used for completing development and debugging of the database. When a new third-party organization (platform) needs to be accessed into the system for maintenance, a system administrator needs to build a database such as a front-end processor database, a data warehouse, a theme library and the like for the third-party organization. The production database configuration management module is mainly used for completing a database required by formal online operation of the system. It is particularly noted that the development libraries created for new access agencies all require the creation of a "same-name" (same-english name) production database.
The standardized management module is mainly used for defining some standards related to metadata managed by the digital treatment workshop system, performing customized related audit on the managed metadata, and finally providing related functions such as a visual audit report. The core functions are as follows: atomic dictionary management, field standard dictionary management, audit function maintenance, keyword maintenance, naming specification, audit report and the like. The standardized management module comprises an atomic dictionary management module corresponding to Chinese and English for defining an atomic dictionary related to metadata managed in the system, the atomic dictionary management module manages dictionaries in an atomic dictionary management list, and when a system object is newly built, the object can be named so that English can be automatically recommended according to Chinese and Chinese can also be automatically recommended according to English so as to ensure the accuracy and consistency of commands. The system also comprises a field standard dictionary management module for defining the field names of the table managed in the system, and managing the field names in the field standard dictionary management list. An audit report module for generating audit reports of multiple types and multiple dimensions.
The working mode of the system is that the management of the metadata is used to further realize the management of the actual object. The main function of the metadata management module is to realize the management of metadata, including metadata exchange, metadata storage, metadata maintenance, metadata quality, metadata analysis and other functions.
The metadata management module comprises
The metadata exchange module is used for providing a metadata automatic acquisition function and a timer function so as to provide service for a system scheduling system, and specifically comprises: the method comprises the following steps that a system initializes and defines a built-in JOB, a user uses the built-in JOB to instantiate a self-defined task, and a timer can be used for scheduling and running the task;
the metadata storage module is used for maintaining various metadata of the objects managed by the system, is one of the most basic and most core support modules of the system, and comprises tables, interfaces, programs, data exchange and data services;
cycle types supported by the "interface": the product is disposable;
cycle types supported by the "table": year, month, week, day;
cycle types supported by the "program": year, month, week, day, hour, minute;
cycle types supported by "data exchange": year, month, week, day, hour;
the metadata maintenance module is used for completing the relationship between the blood relationship and the table fields of the metadata of the database table so as to analyze the traceability and the influence of all data maintained by the system and ensure the quality of the data;
the metadata quality module is used for performing specific quality audit on metadata of objects managed by the system and generating an audit report, and the audit report mainly comprises two categories of audits: integrity audit and model comparison audit. Integrity audit mainly carries out corresponding audit on key attribute integrity of an object (a database table is referred to herein) maintained by a system, such as no Chinese annotation, no main topic model, an isolated model and no field structure model; model comparison audit mainly audits the difference between metadata maintained by a comparison warehouse and metadata of an actual service library, such as no data dictionary, no instance object and inconsistent field;
and the metadata analysis module is used for carrying out similarity analysis on the table model and the index model maintained by the system and generating an audit report.
The system comprises a process management module, a database management module and a database management module, wherein the process management module is used for realizing online related functions, the online refers to a state that a production database is automatically used when a system function runs, and a development database is used by default when the system function runs; the object online process is to process the object metadata according to the corresponding flow template.
The scheduling management module is used for managing a scheduling environment, configuring scheduling tasks and realizing data acquisition, processing and data sharing;
the operation and maintenance monitoring module is used for monitoring and managing a task scheduling environment and execution condition, a data acquisition interface scheduling execution condition and service data query;
the data quality module is used for evaluating and managing the quality of the managed data, and comprises the definition of an auditing function, the definition of an auditing rule, the management of an auditing threshold value and the setting of an alarm, and the inquiry of an auditing report;
the data directory module is used for displaying and managing the managed objects in a classified manner according to the directory configured by the user, so that the data is clearer, and the problem of data spreading is solved;
and the life cycle management module is used for managing the life cycle of the objects managed by the system, and covers the management of two types of objects, namely the table storage cycle and the application life cycle.
On the other hand, as shown in fig. 2, the invention provides a data DNA visualization relationship analysis method, comprising the following steps:
s1: identifying entity types such as a program, a source table, a target table, a source field, a target field and the like;
s2: processing a complex SQL sentence (comprising keywords such as join, union and the like) by an SQL syntax parser, splitting the complex SQL sentence and parsing the complex SQL sentence into a standard single-language sentence;
s3: establishing the relations between tables and fields by identifying key corresponding relation information including select from and insert inter, namely identifying the corresponding relation between a source table and a target table and between a source field and a target field;
s4: and screening fields or table information with the association relationship from a large amount of fields or table data, eliminating the temporary table or temporary field information, and storing the tables or fields with the association relationship through a linked list data structure.
Finally, the above embodiments are only intended to illustrate the technical solutions of the present invention and not to limit the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions, and all of them should be covered by the claims of the present invention.
Claims (5)
1. A data DNA visualization relationship analysis system, characterized by: the method comprises the following steps:
the system management module is used for completing basic configuration and maintenance of the system;
the standardized management module is used for providing standards related to the metadata which are defined and managed, carrying out self-defined audit on the managed metadata and finally providing a visual audit report;
the metadata management module is used for realizing the management of metadata, including the collection, storage, maintenance, quality management and analysis of the metadata;
the system comprises a process management module, a database management module and a database management module, wherein the process management module is used for realizing online related functions, the online refers to a state that a production database is automatically used when a system function runs, and a development database is used by default when the system function runs; the object online process is to process object metadata according to a corresponding flow template;
the scheduling management module is used for managing a scheduling environment, configuring scheduling tasks and realizing data acquisition, processing and data sharing;
the operation and maintenance monitoring module is used for monitoring and managing a task scheduling environment and execution condition, a data acquisition interface scheduling execution condition and service data query;
the data quality module is used for evaluating and managing the quality of the managed data, and comprises the definition of an auditing function, the definition of an auditing rule, the management of an auditing threshold value and the setting of an alarm, and the inquiry of an auditing report;
the data directory module is used for displaying and managing the managed objects in a classified manner according to the directory configured by the user;
and the life cycle management module is used for managing the life cycle of the objects managed by the system, and covers the management of two types of objects, namely the table storage cycle and the application life cycle.
2. The data DNA visualization relationship analysis system of claim 1, wherein: the system management module comprises a tenant configuration module for managing users and a database configuration module for developing and debugging a database for a third-party platform.
3. The data DNA visualization relationship analysis system of claim 1, wherein: the standardized management module comprises an atomic dictionary management module corresponding to Chinese and English for defining an atomic dictionary related to metadata managed in the system, a field standard dictionary management module for defining field names of tables managed in the system, and an audit report module for generating audit reports of various types and dimensions.
4. The data DNA visualization relationship analysis system of claim 1, wherein: the metadata management module comprises
The metadata exchange module is used for providing a metadata automatic acquisition function and a timer function so as to provide service for a system scheduling system, and specifically comprises: the method comprises the following steps that a system initializes and defines a built-in JOB, a user uses the built-in JOB to instantiate a self-defined task, and a timer can be used for scheduling and running the task;
the metadata storage module is used for maintaining various metadata of the objects managed by the system, including tables, interfaces, programs, data exchange and data services;
the metadata maintenance module is used for completing the relationship between the blood relationship of the metadata of the database table and the relationship between the table fields;
the metadata quality module is used for performing specific quality audit on metadata of objects managed by the system and generating an audit report, wherein the audit report comprises integrity audit and model comparison audit, and the integrity audit is performed correspondingly aiming at key attribute integrity of the objects maintained by the system; model comparison audit is used for auditing the difference between metadata maintained by a comparison warehouse and metadata of an actual service library;
and the metadata analysis module is used for carrying out similarity analysis on the table model and the index model maintained by the system and generating an audit report.
5. A data DNA visualization relation analysis method is characterized in that: the method comprises the following steps:
s1: identifying entity types such as a program, a source table, a target table, a source field, a target field and the like;
s2: processing the complex SQL sentences through an SQL syntax parser, splitting the complex SQL sentences and parsing the complex SQL sentences into standard single-language sentences;
s3: establishing the relations between tables and fields by identifying key corresponding relation information including select from and insert inter, namely identifying the corresponding relation between a source table and a target table and between a source field and a target field;
s4: and screening fields or table information with the association relationship from a large amount of fields or table data, eliminating the temporary table or temporary field information, and storing the tables or fields with the association relationship through a linked list data structure.
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