CN112100181A - 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 14
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- 238000010276 construction Methods 0.000 claims description 9
- 238000009960 carding Methods 0.000 claims description 5
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- 230000000694 effects Effects 0.000 claims description 3
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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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 the existing data resources such as lack of standards, serious redundancy, poor data quality and the like, the requirements of people on the development and utilization of the data resources generally have the characteristics of dynamism, diversity, specialty and the like. By the sand table-based data resource management method, data resource management standards are unified, data resource hierarchies are defined, a data resource catalog is constructed, inquireable, understandable and easily-obtained data resources are provided for each specialty and each hierarchy, and work of cross-specialty and cross-hierarchy data acquisition, data sharing, data tracing and the like is 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
With the continuous deepening of the construction and application of information systems in China, a large number of basic data resources and abundant data resource requirements are accumulated, the characteristics of resource dispersion, various types, different standards and low sharing degree are presented, and enterprise-level unified management and achievement sharing are lacked. The data resource service has the problems of high application threshold, difficult data reading, difficult service acquisition and the like, and cannot meet the requirements of visual, traceable and desirable data assets of enterprise levels.
Disclosure of Invention
Aiming at the problems of the existing data resources such as lack of standards, serious redundancy, poor data quality and the like, the requirements of people on the development and utilization of the data resources generally have the characteristics of dynamism, diversity, specialty and the like. By the sand table-based data resource management method, data resource management standards are unified, data resource hierarchies are defined, a data resource catalog is constructed, inquireable, understandable and easily-obtained data resources are provided for each specialty and each hierarchy, and work of cross-specialty and cross-hierarchy data acquisition, data sharing, data tracing and the like is supported.
The invention comprises the following steps:
and traversing the metadata of the database by a binary tree method and a recursion formula to acquire the basic information of the data resources and establish a data synchronization task, wherein a full-volume and incremental mode is adopted in consideration of large data volume and strong timeliness of log information, and other metadata (low update frequency) adopts a full-volume mode every week. And adding a dt field for distinguishing and identifying different systems, and writing the systems into the dt field for short when a data synchronization task is established.
The recursive formula: a isn+k×m1an+k-1+m2an+k-2+…mkan
(1) Data resource catalog classification
Aiming at the problems of high application threshold, difficult data reading, difficult service acquisition and the like of data resources, the invention constructs a classification system of a data resource pasting layer, a sharing layer and an analysis layer and provides a searchable and understandable data resource sand table for each specialty and each layer level. And forming data resource catalog classification of each level according to a complete, independent and irreplaceable principle based on the checked system function menu.
Pasting an active layer: and positioning the close source service system, wherein the table structure is basically consistent with the table structure of the source service system, the stock and incremental data of the source service system are mainly stored, the data range is a subset of the source service system, and the data resources are constructed according to the major, the system, the primary service function and the secondary service function in a classified manner and are closer to the service system.
Sharing layer: and storing the SG-CIM model table and the standard table uncovered by the model. And providing support for upper-layer application and service for a source-end service system according to the uniform naming specification and caliber. The data resource classification comprises two parts of SG-CIM model table data and standard table data, wherein the SG-CIM model resource classification is constructed according to a primary theme domain and a secondary theme domain of an SG-CIM model; and (4) standard table resource classification, which is constructed according to a system, a primary classification mode and a secondary classification mode, and a system to which the data table belongs is marked as a label.
Analysis layer: and storing a result table obtained after the data of the shared layer is processed according to the business logic to form analytical services such as a data set, a label, an index and the like. The resource classification is constructed according to the analysis theme, the primary theme and the secondary theme, and a source system, a affiliated department and an application department of the data sheet are marked as labels.
(2) Data resource table combing
The description of the data table service information mainly includes, but is not limited to, the following specifically:
and (3) service description: it cannot be simply the same as the Chinese name, and must include the business meaning of the table. If the table stores the service entity information, the service entity and related terms are briefly explained; if the document information is stored, the document flow links are briefly described; if the report information is stored, the report purpose is briefly described, and maintenance is required by business personnel. For example, the C _ CONS table, the service description is: the organization or the individual establishing the power supply and utilization relation with the power supply enterprise by law is called a power utilization client, called a user for short, and different power utilization addresses are regarded as different users. And generating record information by newly installing services such as capacity increasing and electricity filing changing, wherein the record information comprises user numbers, user names, electricity utilization addresses, electricity utilization types, power supply voltage, load properties, contract capacity and other electricity utilization attributes.
(3) Data resource field combing
The description of the data table field service information mainly includes, but is not limited to, the following details:
the field describes the business meaning of the description field. The information of the data item such as the business meaning, the purpose, the business activity and the like is described in detail and maintained by business personnel. For example: the field NOTE _ T is PE _ CODE, and the service description is that the bill type printed by default on monthly electricity charge of the electricity consumer complies with the national grid enterprise level marketing management CODE set, and is mainly common invoice, value-added tax invoice, receipt and the like.
(4) Data resource label
In order to facilitate a user to better understand data resources, data label labeling work of a data table is completed based on a data resource management and construction function, and specific labels include, but are not limited to, the following specifically:
belongs to the specialty: filling in the professional name of the data table;
the business department: filling out the name of the business department to which the data sheet belongs, such as: the business department: a finance department;
a source service system: filling in the data table data source service system name, service system for short, relating to that a plurality of source systems need to separate all enumerations by semicolons, such as "source system: [ ECP ] ";
source data table name: filling out the Chinese name and English name of the data table of the data source of the data table relates to that a plurality of source tables need to separate all enumerations by semicolons, for example: source data table name: DATA _ ID _ MAP _ INFO/DATA identification mapping table;
negative manifest data: if the table or the field is to include negative manifest data, a "negative manifest data" tag needs to be added;
data table type label: according to the type of the data table, adding tags such as detail service data, coded data, index data, report data and the like, for example: data table type label: index data;
support application scenario name tag: for the construction of a pasting layer and a shared layer data table such as supporting application, application scene labels are added, a plurality of scene labels are supported, and scene names need to be consistent with scene names in the classification of data resources of an analysis layer, for example: the enterprise resources are mastered in real time, and the distribution condition of industrial plate units is controlled according to the industry;
self-defining a label: each unit can self-define the label according to specific requirements, service scenes and the like.
(5) Data resource classification and table mapping relationship
And finishing the mapping relation between the information system, the theme domain and the application theme and the data table based on the information result of the combed data table.
And (3) combing the corresponding relation between the data category and the service table: based on the last-level data directory, the corresponding relation between the data category and the data table is sorted, and the service table is connected to the last-level category of the data category, so that the corresponding relation between the sorted data category and the data table is required to be complete and accurate. The method comprises the following specific steps:
data resource classification carding and table mapping relation of source layer
Shared layer data resource classification carding and table mapping relation
Analysis layer data resource combing standard specification
The invention has the beneficial effects.
The invention effectively manages the data resources and avoids the problems of data resource dispersion, various types, different standards, low sharing degree, high data resource service application threshold, difficult data reading, difficult service acquisition and the like.
The invention establishes the data resources which can be inquired, understood and easily obtained by the data resource management method based on the sand table, and realizes the visualization, the check, the traceability and the acquirability of the data resources
(1) The data resource catalog is established, the data resources are classified according to different service types of the data resources, and the data resources are constructed in a hierarchical mode, so that the visual, searchable and understandable capabilities of the data resources are improved, and the quick query, positioning and application of the data resources are met.
(2) The unified data resource management standard is beneficial to understanding and using data resources by users, and avoids the divergence of business personnel and developers caused by difficult understanding of terms.
Drawings
The invention is further described with reference to the following figures and detailed description. The scope of the invention is not limited to the following expressions.
Fig. 1, 2 and 3 are data resource information acquisition flow charts of the invention.
Detailed Description
(1) Data resource information collection
The 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 the method is based on the compiling principle, and realizes the objective reflection of data circulation by scanning and syntax analysis of source codes and static analysis and listing of paths related to program logic.
And acquiring data resource information in a binary tree form by a static analysis method. Traversal is a most basic operation on a tree, called a binary tree traversal, which is to walk through all nodes of the binary tree according to a certain rule and order, so that each node is visited once and only once. Since the binary tree is a non-linear structure, the traversal of the tree is essentially represented by converting each node of the binary tree into a linear sequence.
And (3) performing sequencing traversal: the binary tree is accessed in the order of root node- > left sub-tree- > right sub-tree, as shown in figure 1,
and (3) performing sequencing traversal: accessing a root node; traversing the left sub-tree by adopting an order-first recursion; the right sub-tree is traversed using an ordere recursion.
And (3) a sequencing traversal result: ABDFECGHI
The thinking process is as follows:
accessing the root node A first, dividing A into two subtrees on the left and right, because of recursive call, the left subtree follows the sequence of 'first root node, then left and then right', so accessing the node B, then accessing the node D, when accessing the node F, there is a branch, and similarly follows the sequence of 'first root node, then left, then right', accessing the node E, when the left big subtree has been accessed, then following the sequence of accessing the right subtree last, accessing the right big subtree, when the right big subtree has been accessed, first accessing the root node C, accessing the left subtree G, because the left subtree of G has not, then accessing the right subtree H of G by two, and finally accessing the right subtree I of C
And (3) middle-order traversal: in the order of left sub-tree- > root node- > right sub-tree, as shown in figure 2,
and (3) middle-order traversal: traversing the left subtree by adopting a middle sequence; accessing a root node; and traversing the right subtree by adopting a middle order.
And (5) a middle-order traversal result: DBEFAGHCI
3. And (3) subsequent traversal: in the order of left sub-tree- > right sub-tree- > root node, as shown in figure 3,
and (3) subsequent traversal: traversing the left sub-tree by adopting a subsequent recursion; traversing the right subtree by adopting a subsequent recursion; a root node is accessed.
The result of the subsequent traversal: DEFLBHGICA
(2) Data resource information carding and checking
And the service information, the management information and the like of the data are supplemented and perfected on the basis of the collected metadata of the data resource table, including Chinese names, service description, responsibility departments, negative data information and the like, so that a complete and effective data resource system is formed.
(3) Data resource base information maintenance
And (4) combing the checking result according to the data resource information, and developing data resource basic information maintenance work, including information maintenance work such as table description, field description, table Chinese name, field Chinese name, whether a main key is available or not, a negative list and the like.
(4) Data resource catalog construction
Based on the checked system function menu, according to the complete, independent and irreplaceable principle. And the data resource directory construction respectively establishes a source layer data resource directory based on system module classification, a shared layer data resource directory based on service domain classification and an analysis layer data resource directory based on service application classification according to the data resource directory classification dimension.
(5) Data resource service construction, release and application
Through further business processing on the data resources, visual display, unified management and sharing of data resource services are realized, the problem that operation processes of business personnel accessing the data resources are complicated, related terms are difficult to understand, data application and use are inconvenient is solved, the data resource service value is better exerted, business personnel can quickly inquire and subscribe the data resource services, enterprise-level negative list combing and construction results are combined, business personnel requirements are quickly responded, data resource service sharing and application are provided, and business full-life process management and control are carried out on the data resources.
It should be understood that the detailed description of the present invention is only for illustrating the present invention and is not limited by the technical solutions described in the embodiments of the present invention, and those skilled in the art should understand that the present invention can be modified or substituted equally to achieve the same technical effects; as long as the use requirements are met, the method is within the protection scope of the invention.
Claims (1)
1. A data resource management method based on a sand table is characterized by comprising the following steps:
and traversing the metadata of the database by a binary tree method and a recursion formula to acquire the basic information of the data resources and establish a data synchronization task, wherein a full-volume and incremental mode is adopted in consideration of large data volume and strong timeliness of log information, and other metadata (low update frequency) adopts a full-volume mode every week. And adding a dt field for distinguishing and identifying different systems, and writing the systems into the dt field for short when a data synchronization task is established.
The recursive formula: a isn+k×m1an+k-1+m2an+k-2+…mkan
(1) Data resource catalog classification
Aiming at the problems of high application threshold, difficult data reading, difficult service acquisition and the like of data resources, the invention constructs a classification system of a data resource pasting layer, a sharing layer and an analysis layer and provides a searchable and understandable data resource sand table for each specialty and each layer level. And forming data resource catalog classification of each level according to a complete, independent and irreplaceable principle based on the checked system function menu.
Pasting an active layer: and positioning the close source service system, wherein the table structure is basically consistent with the table structure of the source service system, the stock and incremental data of the source service system are mainly stored, the data range is a subset of the source service system, and the data resources are constructed according to the major, the system, the primary service function and the secondary service function in a classified manner and are closer to the service system.
Sharing layer: and storing the SG-CIM model table and the standard table uncovered by the model. And providing support for upper-layer application and service for a source-end service system according to the uniform naming specification and caliber. The data resource classification comprises two parts of SG-CIM model table data and standard table data, wherein the SG-CIM model resource classification is constructed according to a primary theme domain and a secondary theme domain of an SG-CIM model; and (4) standard table resource classification, which is constructed according to a system, a primary classification mode and a secondary classification mode, and a system to which the data table belongs is marked as a label.
Analysis layer: and storing a result table obtained after the data of the shared layer is processed according to the business logic to form analytical services such as a data set, a label, an index and the like. The resource classification is constructed according to the analysis theme, the primary theme and the secondary theme, and a source system, a affiliated department and an application department of the data sheet are marked as labels.
(2) Data resource table combing
The description of the data table service information mainly includes, but is not limited to, the following specifically:
and (3) service description: it cannot be simply the same as the Chinese name, and must include the business meaning of the table. If the table stores the service entity information, the service entity and related terms are briefly explained; if the document information is stored, the document flow links are briefly described; if the report information is stored, the report purpose is briefly described, and maintenance is required by business personnel. For example, the C _ CONS table, the service description is: the organization or the individual establishing the power supply and utilization relation with the power supply enterprise by law is called a power utilization client, called a user for short, and different power utilization addresses are regarded as different users. And generating record information by newly installing services such as capacity increasing and electricity filing changing, wherein the record information comprises user numbers, user names, electricity utilization addresses, electricity utilization types, power supply voltage, load properties, contract capacity and other electricity utilization attributes.
(3) Data resource field combing
The description of the data table field service information mainly includes, but is not limited to, the following details:
the field describes the business meaning of the description field. The information of the data item such as the business meaning, the purpose, the business activity and the like is described in detail and maintained by business personnel. For example: the field NOTE _ T is PE _ CODE, and the service description is that the bill type printed by default on monthly electricity charge of the electricity consumer complies with the national grid enterprise level marketing management CODE set, and is mainly common invoice, value-added tax invoice, receipt and the like.
(4) Data resource label
In order to facilitate a user to better understand data resources, data label labeling work of a data table is completed based on a data resource management and construction function, and specific labels include, but are not limited to, the following specifically:
belongs to the specialty: filling in the professional name of the data table;
the business department: filling out the name of the business department to which the data sheet belongs, such as: the business department: a finance department;
a source service system: filling in the data table data source service system name, service system for short, relating to that a plurality of source systems need to separate all enumerations by semicolons, such as "source system: [ ECP ] ";
source data table name: filling out the Chinese name and English name of the data table of the data source of the data table relates to that a plurality of source tables need to separate all enumerations by semicolons, for example: source data table name: DATA _ ID _ MAP _ INFO/DATA identification mapping table;
negative manifest data: if the table or the field is to include negative manifest data, a "negative manifest data" tag needs to be added;
data table type label: according to the type of the data table, adding tags such as detail service data, coded data, index data, report data and the like, for example: data table type label: index data;
support application scenario name tag: for the construction of a pasting layer and a shared layer data table such as supporting application, application scene labels are added, a plurality of scene labels are supported, and scene names need to be consistent with scene names in the classification of data resources of an analysis layer, for example: the enterprise resources are mastered in real time, and the distribution condition of industrial plate units is controlled according to the industry;
self-defining a label: each unit can self-define the label according to specific requirements, service scenes and the like.
(5) Data resource classification and table mapping relationship
And finishing the mapping relation between the information system, the theme domain and the application theme and the data table based on the information result of the combed data table.
And (3) combing the corresponding relation between the data category and the service table: based on the last-level data directory, the corresponding relation between the data category and the data table is sorted, and the service table is connected to the last-level category of the data category, so that the corresponding relation between the sorted data category and the data table is required to be complete and accurate. The method comprises the following specific steps:
data resource classification carding and table mapping relation of source layer
Shared layer data resource classification carding and table mapping relation
Analysis layer data resource combing standard specification
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| CN112712299A (en) * | 2021-01-21 | 2021-04-27 | 网思科技股份有限公司 | Resource management method, system, storage medium and electronic device |
| CN112712299B (en) * | 2021-01-21 | 2023-11-24 | 网思科技股份有限公司 | Resource management method, system, storage medium and electronic device |
| 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 |
| CN114443779A (en) * | 2021-12-20 | 2022-05-06 | 航天科工网络信息发展有限公司 | Data resource management method and system based on data directory |
| CN115952160A (en) * | 2023-01-10 | 2023-04-11 | 数据易(北京)信息技术有限公司 | Data checking method |
| 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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