CN112100181B - Data resource management method based on sand table - Google Patents
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- 238000007726 management method Methods 0.000 title claims abstract description 22
- 239000004576 sand Substances 0.000 title claims abstract description 11
- 238000004458 analytical method Methods 0.000 claims description 17
- 238000009960 carding Methods 0.000 claims description 13
- 238000000034 method Methods 0.000 claims description 12
- 238000013507 mapping Methods 0.000 claims description 9
- 238000010276 construction Methods 0.000 claims description 8
- 230000000694 effects Effects 0.000 claims description 3
- 238000002372 labelling Methods 0.000 claims description 2
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Abstract
A data resource management method based on a sand table belongs to the technical field of data resource management, and particularly relates to a data resource management method based on a sand table. Aiming at the problems of commonly existing data resources such as lack of standards, serious redundancy, poor data quality and the like, the requirements of people on development and utilization of the data resources generally have the characteristics of dynamics, diversity, professionals and the like. By means of the data resource management method based on the sand table, the data resource management standard is unified, the data resource levels are defined, the data resource catalogue is built, data resources which can be inquired, understood and easily obtained are provided for each specialty and each level, and the operations of cross-specialty, cross-level data acquisition, data sharing, data tracing and the like are supported.
Description
Technical Field
The invention belongs to the technical field of data resource management, and particularly relates to a data resource management method based on a sand table.
Background
Along with the continuous deep construction and application of information systems in China, a large amount of basic data resources and rich data resource demands are accumulated, the characteristics of scattered resources, various types, different standards and low sharing degree are presented, and enterprise-level hierarchical unified management and achievement sharing are lacked. The data resource service can not meet the visual, traceable and attractive requirements of enterprise data assets due to the problems of high application threshold, difficult data reading and understanding, difficult service acquisition and the like.
Disclosure of Invention
Aiming at the problems of commonly existing data resources such as lack of standards, serious redundancy, poor data quality and the like, the requirements of people on development and utilization of the data resources generally have the characteristics of dynamics, diversity, professionals and the like. By means of the data resource management method based on the sand table, the data resource management standard is unified, the data resource levels are defined, the data resource catalogue is built, data resources which can be inquired, understood and easily obtained are provided for each specialty and each level, and the operations of cross-specialty, cross-level data acquisition, data sharing, data tracing and the like are supported.
The invention comprises the following steps:
And traversing the metadata of the database through a binary tree method recursion formula to obtain the basic information of the data resources, establishing a data synchronization task, taking the large data volume and strong timeliness of log information into consideration, adopting a full-volume and increment mode, and adopting a full-volume mode for other metadata (with lower updating frequency) every week. And adding a dt field for distinguishing and identifying different systems, and writing the systems into the dt field for short when the data synchronization task is established.
The recursive formula: a n+k×m1an+k-1+m2an+k-2+…mkan
(1) Data resource catalog classification
Aiming at the problems of high application threshold, difficult data reading and understanding, difficult service acquisition and the like of data resources, the invention constructs a classification system of a data resource attaching source layer, a sharing layer and an analysis layer, and provides a data resource sand table capable of inquiring and understanding for each professional and each level. Based on the checked system function menu, forming the data resource catalog classification of each level according to the complete, independent and irreplaceable principle.
Pasting a source layer: the method is characterized in that the method is positioned close to a source service system, the table structure is basically consistent with the source service system table structure, stock and increment data of the source service system are mainly stored, the data range is a subset of the source service system, and data resources are constructed according to the professional, system, primary service function and secondary service function classification and are closer to the service system.
Sharing layer: and storing the SG-CIM model table and a standard table which is not covered by the model. And supporting the source end business system for upper layer application and service according to the unified naming standard and caliber. The data resource classification comprises two parts of contents of SG-CIM model table data and standard table data, wherein the SG-CIM model resource classification is constructed according to a primary topic domain and a secondary topic domain of the SG-CIM model; and (3) classifying standard table resources, constructing according to a system, primary classification and secondary classification modes, and marking the system to which the data table belongs as a label.
Analysis layer: and storing a result table obtained after the shared layer data is processed according to the business logic to form an analysis type service such as a data set, a label, an index and the like. The resource classification is constructed according to the modes of analysis topics, primary topics and secondary topics, and the source system, the affiliated departments and the application departments of the data table are used as labels for marking.
(2) Data resource table carding
The data sheet service information description mainly comprises, but is not limited to, the following specific details:
Description of service: cannot be the same as chinese names simply, but must include business meaning of a table. If the table stores business entity information, the business entity and related terms should be briefly described; if the bill information is stored, the bill flow links should be briefly described; if the report information is stored, the report application is briefly described, and service personnel are required to maintain the report. For example, a c_ons table, the service description is: an organization or individual who establishes a power supply relation with a power supply enterprise in law is called a power consumption client, and is called a user for short, and different power consumption addresses are regarded as different users. Record information is generated through services such as new capacity increasing, power utilization archiving and the like, and comprises power utilization attributes such as user numbers, user names, power utilization addresses, power utilization types, power supply voltages, load properties, contract capacity and the like.
(3) Data resource field sorting
The data table field service information description mainly includes, but is not limited to, the following specific details:
Field description describes the business meaning of the field. Detailed description of the business meaning, purpose, business activity, etc. of the data item is maintained by business personnel. For example: the field NOTE_T is PE_CODE, and the service is described as a ticket type printed by the default of monthly electric charge of an electric customer, and conforms to a national power grid enterprise-level marketing management CODE class set, mainly comprising a common invoice, a value-added tax ticket issuing, a receipt and the like.
(4) Data resource tag
In order to facilitate better understanding of the data resources by the user, the data label labeling work of the data table is completed based on the data resource management and construction function, and specific labels include, but are not limited to, the following specific labels:
the method belongs to the following professions: filling in the professional name to which the data table belongs;
the business departments: filling in the name of the business department to which the data table belongs, for example: the business departments: a finance department;
source business system: filling in the name of the service system of the data source of the data table, the service system is abbreviated, and the service system relates to that a plurality of source systems need to be separated by all enumeration by division numbers, for example, the source system: [ ECP ] ";
source data table name: filling in the Chinese and English names of the data table of the data source of the data table, which relates to that a plurality of source tables need to be separated by all enumeration by division numbers, for example: source data table name: data_id_map_info/DATA identification mapping table;
Negative inventory data: if the table or the field is to contain negative list data, a label of negative list data is added;
Data table type label: according to the data table type, labels such as detail service data, coding data, index data, report data and the like are added, for example: data table type label: index data;
support application scene name label: for the construction of source layer pasting and sharing layer data tables such as supporting application, application scene labels are added, the scene labels support a plurality of scenes, and the scene names are required to be consistent with the scene names in analysis layer data resource classification, for example: the enterprise resources are mastered in real time, and the industrial plate units are distributed according to the industry;
Custom tags: each unit can customize the label according to specific requirements, business scenes and the like.
(5) Data resource classification and table mapping relation
Based on the information result of the data table, the mapping relation of the information system, the topic domain and the application topic and the data table is completed.
Carding the corresponding relation between the data category and the service list: and carrying out the corresponding relation carding between the data category and the data table based on the final-stage data catalog, and hanging the service table to the final-stage category of the data category, wherein the corresponding relation between the carded data category and the data table is required to be complete and accurate. The method comprises the following steps:
layer data resource classification and carding and table mapping relation of adhesive source layer
Shared layer data resource classification and carding and table mapping relation
Analysis layer data resource carding standard specification
The invention has the beneficial effects that.
The invention effectively manages the data resources and avoids the problems of scattered data resources, various types, different standards, low sharing degree, high application threshold of data resource service, difficult data reading and understanding, difficult service acquisition and the like.
The invention establishes the data resource which can be inquired, understood and easily obtained through the data resource management method based on the sand table, and realizes the visualization, the investigation, the traceability and the retrieval of the data resource
(1) And establishing a data resource catalog, classifying according to different data resource service types, constructing in a layered manner, improving the visual, searchable and understandable capability of the data resource, and meeting the requirements of quick query, positioning and application of the data resource.
(2) The unified data resource management standard is beneficial to users to understand and use the data resources, and avoids the divergence of service personnel and developers caused by the fact that the terms are difficult to understand.
Drawings
The invention is further described below with reference to the drawings and the detailed description. The scope of the present invention is not limited to the following description.
Fig. 1,2 and 3 are flowcharts of data resource information collection according to the present invention.
Detailed Description
(1) Data resource information acquisition
The static analysis method has the advantages that the method is free from the influence of human factors, the precision is not influenced by the detailed degree of document description, test cases and sampling data, and objective reflection of data flow is realized by scanning and grammar analysis of source codes and static analysis and listing of paths related to program logic based on a compiling principle.
And acquiring data resource information in a binary tree form by a static analysis method. Traversing is one of the most basic operations on a tree, and traversing a binary tree is to walk through all nodes of the binary tree according to a certain rule and order, so that each node is accessed once and only once. Since the binary tree is a nonlinear structure, the traversal of the tree is essentially represented by converting each node of the binary tree into a linear sequence.
And (5) performing first order traversal: the binary tree is accessed in the order of root node- > left subtree- > right subtree, as shown in figure 1,
And (5) performing first order traversal: accessing a root node; traversing the left subtree by adopting a preface recursion; the right subtree is recursively traversed using the precedent.
The result of the first order traversal: ABDFECGHI A
The thinking process is as follows:
The root node A is accessed firstly, the root node A is divided into a left subtree and a right subtree, the left subtree also follows the sequence of root node first, then left and right, so the node B is accessed, then the node D is accessed, branches exist when the node F is accessed, the node E is accessed, the large subtree on the left is accessed completely, then the sequence of the last right subtree is accessed, the large subtree on the right also firstly accesses the root node C, the left subtree G is accessed, the next two access the right subtree H of G because the left subtree of G does not exist, and the right subtree I of C is accessed last
And (5) performing medium sequence traversal: according to the sequential access of the left subtree- > the root node- > the right subtree, as shown in figure 2,
And (5) performing medium sequence traversal: traversing the left subtree by adopting a middle order; accessing a root node; the right subtree is traversed with a medium order.
Mesogenic traversal results: DBEFAGHCI A
3. And (5) performing subsequent traversal: according to the sequential access of the left sub-tree- > the right sub-tree- > the root node, as shown in figure 3,
And (5) performing subsequent traversal: traversing the left subtree by adopting a subsequent recursion; traversing the right subtree by adopting a subsequent recursion; the root node is accessed.
Results of the subsequent traversal: DEFBHGICA A
(2) Data resource information carding and checking
And supplementing and perfecting service information, management information and the like of the data on the basis of the acquired data resource table metadata, wherein the service information, the management information and the like comprise Chinese names, service descriptions, responsible departments, negative data information and the like, and a complete and effective data resource system is formed.
(3) Data resource base information maintenance
And carrying out maintenance work of basic information of the data resources according to the check result of the data resource information, wherein the maintenance work comprises information maintenance work such as table description, field description, table Chinese names, field Chinese names, whether a primary key is used, a negative list and the like.
(4) Data resource catalog construction
Based on the checked system function menu, the method is based on the complete, independent and irreplaceable principle. The data resource catalog construction is used for respectively establishing a paste source layer data resource catalog based on system module classification, a shared layer data resource catalog based on service domain classification and an analysis layer data resource catalog based on service application classification according to the data resource catalog classification dimension.
(5) Data resource service construction, release and application
Through further business processing of the data resources, visual display, unified management and sharing of the data resource services are realized, the problems that operation flows of business personnel for accessing the data resources are complex, related terms are difficult to understand, data application is inconvenient to use and the like are solved, the data resource service value is better exerted, the business personnel can rapidly inquire and subscribe the data resource services, the enterprise-level negative list is combined for combing and building achievements, the business personnel requirements are rapidly responded, the data resource service sharing and application are provided, and the business whole life flow management and control of the data resources are carried out.
It should be understood that the foregoing detailed description of the present invention is provided for illustration only and is not limited to the technical solutions described in the embodiments of the present invention, and those skilled in the art should understand that the present invention may be modified or substituted for the same technical effects; as long as the use requirement is met, the invention is within the protection scope of the invention.
Claims (1)
1. The data resource management method based on the sand table is characterized by comprising the following steps of:
Traversing the metadata of the database by a binary tree method recursion formula to obtain basic information of data resources, establishing a data synchronization task, and taking the large data quantity and strong timeliness of log information into consideration, adopting a full quantity and increment mode, and adopting a full quantity mode for each week of metadata with lower updating frequency; adding a dt field, which is used for distinguishing and identifying different systems, and writing the systems into the dt field for short when the data synchronization task is established;
the recursive formula: a n+k＝m1an+k-1+m2an+k-2+…mkan
(1) Data resource catalog classification
Constructing a classification system of a data resource attaching layer, a sharing layer and an analysis layer, and providing a data resource sand table which can be inquired and understood for each specialty and each level; forming data resource catalog classification of each level according to the complete, independent and irreplaceable principle based on the checked system function menu;
Pasting a source layer: positioning and approaching to a source service system, keeping a table structure basically consistent with the source service system table structure, storing stock and increment data of the source service system, wherein the data range is a subset of the source service system, and data resources are constructed according to the classification of professions, systems, primary service functions and secondary service functions and are closer to the service system;
Sharing layer: storing an SG-CIM model table and a standard table which is not covered by the model; providing support for upper layer application and service for a source end service system according to a unified naming standard and caliber; the data resource classification comprises two parts of contents of SG-CIM model table data and standard table data, wherein the SG-CIM model resource classification is constructed according to a primary topic domain and a secondary topic domain of the SG-CIM model; standard table resource classification is constructed according to the modes of system, primary classification and secondary classification, and the system to which the data table belongs is used as a label for marking;
Analysis layer: storing a result table after processing the shared layer data according to the business logic to form a data set, a label and an index analysis type service; the resource classification is constructed according to the modes of analysis topics, primary topics and secondary topics, and the source system, the affiliated departments and the application departments of the data table are used as labels for marking;
(2) Data resource table carding
The data sheet service information description includes, but is not limited to, the following:
Description of service: the method cannot be the same as the Chinese name simply, and must include the business meaning of a table; if the table stores business entity information, the business entity and related terms should be briefly described; the data resource table is organized as follows:
(3) Data resource field sorting
The data table field service information description includes, but is not limited to, the following:
Field description, describing the business meaning of the field; business meaning, purpose and business activity information of the data item are described in detail and maintained by business personnel;
(4) Data resource tag
In order to facilitate better understanding of the data resources by the user, the data label labeling work of the data table is completed based on the data resource management and construction function, and specific labels include, but are not limited to, the following specific labels:
the method belongs to the following professions: filling in the professional name to which the data table belongs;
the business departments: filling in the name of the business department to which the data sheet belongs;
source business system: filling in the name of the service system of the data source of the data table, wherein the service system is abbreviated as a plurality of source systems which need to be separated by division numbers for all enumeration;
source data table name: filling in the Chinese names and English names of the data table of the data source of the data table, and separating all enumeration by dividing numbers for a plurality of source tables;
Negative inventory data: if the table or the field is to contain negative list data, a label of negative list data is added;
Data table type label: according to the data table type, adding detail service data, coding data, index data and report data labels;
support application scene name label: adding application scene labels aiming at construction of source layer pasting and sharing layer data tables such as supporting application, wherein the scene labels support a plurality of scenes, and the scene names are required to be consistent with scene names in analysis layer data resource classification;
Custom tags: each unit can customize the label according to specific requirements and service scenes;
(5) Data resource classification and table mapping relation
Based on the information result of the data table, finishing the mapping relation of the information system, the topic domain and the application topic and the data table;
Carding the corresponding relation between the data category and the service list: based on the final-stage data catalogue, carrying out the corresponding relation carding between the data category and the data table, and hanging the service table to the final-stage category of the data category, wherein the corresponding relation between the carded data category and the data table is required to be ensured to be complete and accurate; the method comprises the following steps:
The table of the mapping relation between the sorting and carding of the source layer data resources and the table is as follows:
The table of the mapping relation between the classifying and carding of the shared layer data resources and the table is as follows:
the analysis layer data resource carding standard specification table is as follows:
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| CN112989132A (en) * | 2021-03-29 | 2021-06-18 | 国网宁夏电力有限公司电力科学研究院 | Data directory establishing method for enterprise data inventory |
| CN115952160B (en) * | 2023-01-10 | 2024-04-26 | 数据易(北京)信息技术有限公司 | Data checking method |
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