CN114139974A - Data quality problem processing device and method based on data blood margin - Google Patents
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Abstract
The invention discloses a data quality problem processing device and method based on a data blood margin, belongs to the technical field of computers, and solves the problems of low efficiency in processing data quality problems caused by relatively dispersed processing of work orders and incapability of accurately positioning upstream data in the data quality problems. The invention provides an auxiliary tool for processing the data quality problem, can accurately position the data processing upstream problem, and improves the efficiency of processing the data quality problem.
Description
Technical Field
The invention belongs to the technical field of computers, and particularly relates to a data quality problem processing device and method based on data blood margin.
Background
At present, the inspection of the financial institution by the supervision department presents the characteristics of wide range, high standard trend, strict requirement trend and serious punishment trend, and higher requirements are put forward for the processing capability of the data quality problems of the financial institution. According to the data quality problem work order processing method and device, the data quality management system checks data quality periodically in batches according to the checking rules in the existing scheme, after the data quality problem work order is run out of the rules, the data quality management system automatically distributes the data quality problem work order according to data charge persons configured by the rules, the processing of the data quality problem work order is relatively dispersed, in actual operation, the problem that the data processing downstream is exposed is mostly generated by the data processing upstream, the problem that the data processing upstream is not accurately positioned in the existing scheme, and therefore the efficiency of the existing scheme in processing the data quality problem is low.
Disclosure of Invention
The invention discloses a data quality problem processing device and method based on data blood margin, aiming at solving the problem of low efficiency in processing the data quality problem caused by relatively dispersed processing of a work order of the data quality problem and incapability of accurately positioning upstream data in the existing scheme.
The technical scheme of the invention is as follows:
the invention relates to a data quality problem processing device based on data blood margin, which comprises a data quality problem processing device, wherein the data quality problem processing device comprises:
a checking module: performing data batch operation on the set checking rule, outputting a field of problem data and a corresponding data responsible person by using a key value pair structure, and correspondingly generating a total data quality problem worksheet of a file structure, wherein the total data quality problem worksheet comprises all the fields of the problem data and the corresponding data responsible persons;
a data information module: receiving and storing output data of the checking module, determining a data blood relationship among the data according to information including date, data responsible person and data blood relationship, and outputting the determined data blood relationship to the associated data determining module;
the associated data determination module: determining problem data associated with the current problem data according to the data blood relationship output by the received data information module, and outputting the problem data to the simplified duplicate removal module;
the simplified deduplication module: the data chain comprises problem data with a key value pair structure and a data responsible person, and the analysis result is output to the worksheet distribution module;
the work order distribution module: distributing a data quality problem work order to a corresponding data responsible person according to a data chain in an analysis result of the simplified duplication elimination module, wherein the data quality problem work order comprises a field of single problem data and the corresponding data responsible person;
a data verification module: and after the problem data are processed by the corresponding data responsible person, performing data verification on the problem data, and judging whether to close the work order according to a data verification result.
The working principle of the technical scheme is as follows:
the checking module runs the checking rules on the data in batches, and the data which do not accord with the checking rules are problem data; outputting data information of the problem data through a data information module; the associated data determining module determines problem data associated with the current problem data according to the data blood relationship output by the data information module; the simplified duplicate removal module is used for carrying out simplified duplicate removal on the associated problem data determined by the associated data determination module to obtain a unique analysis result; distributing the data quality problem work order to the corresponding data responsible person through the work order distribution module according to the analysis result obtained by the simplified de-weight module; and performing data inspection on the problem data processed by the data responsible person through the data inspection module, and judging whether to close the work order according to a data inspection result.
Compared with the prior art, the data quality problem processing device based on the data blooding margin comprises the checking module, the data information module, the associated data determining module, the simplified duplicate removal module, the work order distribution module and the data verification module, provides an auxiliary tool for processing the data quality problem, can accurately position the problem occurring at the data processing upstream, and improves the efficiency of processing the data quality problem.
Further, the checking module is provided with a checking rule change option.
By setting the checking rule change option in the checking module, the checking rule can be changed according to requirements, different checking requirements are met, and the flexibility of the data quality problem processing device based on the data blood margin is improved.
Further, the data information module is provided with a data information retrieval option.
By setting the data information retrieval option in the data information module, the data information can be retrieved at any time, and the flexibility of the data quality problem processing device based on the data blood margin is further improved.
Further, the associated data determination module is provided with a data consanguinity graph drawing option.
By setting the data blood relationship graph drawing options in the associated data determination module, the data blood relationship graph of the required data can be drawn when needed, and the user can be helped to understand the relationship between the data more intuitively.
Further, the simplified de-duplication module is provided with an algorithm change option.
By setting an algorithm change option in the simplified duplicate removal module, a proper algorithm can be selected according to the requirements of a user, so that the data quality problem processing device based on the data blood margin can process various problems.
The invention also provides a data quality problem processing method based on the data blood margin, which comprises the following steps:
s1: batch data checking: the checking module performs data batch operation on the set checking rules and generates a total data quality problem work order according to an operation result;
s2: data acquisition of relationship between blood factors: acquiring a data blood relationship recorded in the problem data from a data information module;
s3: determining associated problem data: determining the associated problem data and the corresponding data responsible person in the associated data determining module according to the data blood relationship acquired after the step S2;
s4: the analysis result is simplified: simplifying the problem data output in the step S3 and the corresponding data responsible person by a simplifying and duplicate-removing module, removing the repeatedly generated data, and forming a unique analysis result of the data blood margin;
s5: allocating the most upstream data quality problem work order to the corresponding data responsible person: reading the problem data at the most upstream according to the analysis result of the step S4, and distributing the data quality problem work order of the problem data to the corresponding data responsible person by the work order distribution module;
s6: data principal processing and data verification: the problem data at the most upstream is processed by the corresponding data responsible person and subjected to data verification by the data verification module after the data quality problem is solved, and simultaneously, all the problem data except the problem data at the most upstream are synchronously subjected to data verification according to the analysis result of the step S4;
s7: data validation passed whether: if all the problem data pass the data verification, executing step S8; if all the problem data do not pass the data verification, setting the problem data which does not pass the data verification and is positioned at the most upstream as the problem data at the most upstream, and executing the step S5 and the subsequent steps;
s8: closing the work order and ending the process: and closing the data quality problem work orders of all the problem data and ending the process.
One or more technical schemes provided by the invention at least have the following technical effects or advantages:
1. through designing a data quality problem processing apparatus based on data blood margin including checking module, data information module, associated data determination module, simplification duplication removal module, work order distribution module and data verification module, the processing of data quality problem provides appurtenance, can accurate positioning data processing upstream problem that appears, has improved the efficiency of handling data quality problem.
2. By setting the checking rule change option in the checking module, the checking rule can be changed according to requirements, different checking requirements are met, and the flexibility of the data quality problem processing device based on the data blood margin is improved.
3. By setting the data information retrieval option in the data information module, the data information can be retrieved at any time, and the flexibility of the data quality problem processing device based on the data blood margin is further improved.
4. By setting the data blood relationship graph drawing options in the associated data determination module, the data blood relationship graph of the required data can be drawn when needed, and the user can be helped to understand the relationship between the data more intuitively.
5. By setting an algorithm change option in the simplified duplicate removal module, a proper algorithm can be selected according to the requirements of a user, so that the data quality problem processing device based on the data blood margin can process various problems.
6. By using the data quality problem processing method based on the data blooding margin, the problems occurring at the upstream of data processing can be more accurately positioned, time and labor are saved, convenience and rapidness are realized, and the processing of the data quality problems is promoted.
Drawings
FIG. 1 is an overview of a data-based data-quality problem processing apparatus according to the present invention.
FIG. 2 is a flow chart of a method for processing data quality problems based on data blood relationship according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, 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 a part of the embodiments of the present application, and not all the embodiments. The components of embodiments of the present application, generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, a data quality problem processing apparatus based on data blood margin according to the present embodiment includes a data quality problem processing apparatus, where the data quality problem processing apparatus includes:
a checking module: performing data batch operation on the set checking rule, outputting a field of problem data and a corresponding data responsible person by using a key value pair structure, and correspondingly generating a total data quality problem worksheet of a file structure, wherein the total data quality problem worksheet comprises all the fields of the problem data and the corresponding data responsible persons;
a data information module: receiving and storing output data of the checking module, determining a data blood relationship among the data according to information including date, data responsible person and data blood relationship, and outputting the determined data blood relationship to the associated data determining module;
the associated data determination module: determining problem data associated with the current problem data according to the data blood relationship output by the received data information module, and outputting the problem data to the simplified duplicate removal module;
the simplified deduplication module: the data chain comprises problem data with a key value pair structure and a data responsible person, and the analysis result is output to the worksheet distribution module;
the work order distribution module: distributing a data quality problem work order to a corresponding data responsible person according to a data chain in an analysis result of the simplified duplication elimination module, wherein the data quality problem work order comprises a field of single problem data and the corresponding data responsible person;
a data verification module: and after the problem data are processed by the corresponding data responsible person, performing data verification on the problem data, and judging whether to close the work order according to a data verification result.
The working principle of the above embodiment is as follows:
the checking module runs the checking rules on the data in batches, and the data which do not accord with the checking rules are problem data; outputting data information of the problem data through a data information module; the associated data determining module determines problem data associated with the current problem data according to the data blood relationship output by the data information module; the simplified duplicate removal module is used for carrying out simplified duplicate removal on the associated problem data determined by the associated data determination module to obtain a unique analysis result; distributing the data quality problem work order to the corresponding data responsible person through the work order distribution module according to the analysis result obtained by the simplified de-weight module; and performing data inspection on the problem data processed by the data responsible person through the data inspection module, and judging whether to close the work order according to a data inspection result.
Compared with the prior art, the data quality problem processing device based on the data blooding margin comprises the checking module, the data information module, the associated data determining module, the simplified duplicate removal module, the work order distribution module and the data verification module, provides an auxiliary tool for processing the data quality problem, can accurately position the problem occurring at the data processing upstream, and improves the efficiency of processing the data quality problem.
The checking module is provided with a checking rule changing option.
Specifically, a plurality of checking rules suitable for different situations are preset in the checking rule changing options according to the requirements of users.
By setting the checking rule change option in the checking module, the checking rule can be changed according to requirements, different checking requirements are met, and the flexibility of the data quality problem processing device based on the data blood margin is improved.
The data information module is provided with a data information retrieval option.
Specifically, the data information retrieval option may retrieve the data according to the date, the data consanguinity, the data administrator, and other retrieval conditions.
By setting the data information retrieval option in the data information module, the data information can be retrieved at any time, and the flexibility of the data quality problem processing device based on the data blood margin is further improved.
And the associated data determination module is provided with a data blood relationship graph drawing option.
By setting the data blood relationship graph drawing options in the associated data determination module, the data blood relationship graph of the required data can be drawn when needed, and the user can be helped to understand the relationship between the data more intuitively.
The simplified deduplication module is provided with an algorithm change option.
Specifically, the algorithm change options include a Simhash algorithm, a HyperLogLog algorithm, a BloomFilter algorithm, and other deduplication algorithms.
By setting an algorithm change option in the simplified duplicate removal module, a proper algorithm can be selected according to the requirements of a user, so that the data quality problem processing device based on the data blood margin can process various problems.
Referring to fig. 2, a data-based data quality problem processing method for the above apparatus includes the following steps:
s1: batch data checking: the checking module performs data batch operation on the set checking rules and generates a total data quality problem work order according to an operation result;
s2: data acquisition of relationship between blood factors: acquiring a data blood relationship recorded in the problem data from a data information module;
s3: determining associated problem data: determining the associated problem data and the corresponding data responsible person in the associated data determining module according to the data blood relationship acquired after the step S2;
s4: the analysis result is simplified: simplifying the problem data output in the step S3 and the corresponding data responsible person by a simplifying and duplicate-removing module, removing the repeatedly generated data, and forming a unique analysis result of the data blood margin;
s5: allocating the most upstream data quality problem work order to the corresponding data responsible person: reading the problem data at the most upstream according to the analysis result of the step S4, and distributing the data quality problem work order of the problem data to the corresponding data responsible person by the work order distribution module;
s6: data principal processing and data verification: the problem data at the most upstream is processed by the corresponding data responsible person and subjected to data verification by the data verification module after the data quality problem is solved, and simultaneously, all the problem data except the problem data at the most upstream are synchronously subjected to data verification according to the analysis result of the step S4;
s7: data validation passed whether: if all the problem data pass the data verification, executing step S8; if all the problem data do not pass the data verification, setting the problem data which does not pass the data verification and is positioned at the most upstream as the problem data at the most upstream, and executing the step S5 and the subsequent steps;
s8: closing the work order and ending the process: and closing the data quality problem work orders of all the problem data and ending the process.
The above-mentioned embodiments only express the specific embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for those skilled in the art, without departing from the technical idea of the present application, several changes and modifications can be made, which are all within the protection scope of the present application.
Claims (6)
1. A data quality problem processing apparatus based on data blooding borders, comprising:
a checking module: performing data batch operation on the set checking rule, outputting a field of problem data and a corresponding data responsible person by using a key value pair structure, and correspondingly generating a total data quality problem worksheet of a file structure, wherein the total data quality problem worksheet comprises all the fields of the problem data and the corresponding data responsible persons;
a data information module: receiving and storing output data of the checking module, determining a data blood relationship among the data according to information including date, data responsible person and data blood relationship, and outputting the determined data blood relationship to the associated data determining module;
the associated data determination module: determining problem data associated with the current problem data according to the data blood relationship output by the received data information module, and outputting the problem data to the simplified duplicate removal module;
the simplified deduplication module: the data chain comprises problem data with a key value pair structure and a data responsible person, and the analysis result is output to the worksheet distribution module;
the work order distribution module: distributing a data quality problem work order to a corresponding data responsible person according to a data chain in an analysis result of the simplified duplication elimination module, wherein the data quality problem work order comprises a field of single problem data and the corresponding data responsible person;
a data verification module: and after the problem data are processed by the corresponding data responsible person, performing data verification on the problem data, and judging whether to close the work order according to a data verification result.
2. The data-based data-vein problem processing device according to claim 1, wherein the checking module is provided with a checking rule change option.
3. The data-based data-vein processing apparatus according to claim 1, wherein the data information module is provided with a data information retrieval option.
4. The data-based data-vein problem processing apparatus according to claim 1, wherein the associated data determination module is provided with a data-vein mapping option.
5. The data-based data-vein processing apparatus of claim 1, wherein the simplified deduplication module is provided with an algorithm change option.
6. A data-based data-quality problem processing method for the apparatus of claim 1, comprising the steps of:
s1: batch data checking: the checking module performs data batch operation on the set checking rules and generates a total data quality problem work order according to an operation result;
s2: data acquisition of relationship between blood factors: acquiring a data blood relationship recorded in the problem data from a data information module;
s3: determining associated problem data: determining the associated problem data and the corresponding data responsible person in the associated data determining module according to the data blood relationship acquired after the step S2;
s4: the analysis result is simplified: simplifying the problem data output in the step S3 and the corresponding data responsible person by a simplifying and duplicate-removing module, removing the repeatedly generated data, and forming a unique analysis result of the data blood margin;
s5: allocating the most upstream data quality problem work order to the corresponding data responsible person: reading the problem data at the most upstream according to the analysis result of the step S4, and distributing the data quality problem work order of the problem data to the corresponding data responsible person by the work order distribution module;
s6: data principal processing and data verification: the problem data at the most upstream is processed by the corresponding data responsible person and subjected to data verification by the data verification module after the data quality problem is solved, and simultaneously, all the problem data except the problem data at the most upstream are synchronously subjected to data verification according to the analysis result of the step S4;
s7: data validation passed whether: if all the problem data pass the data verification, executing step S8; if all the problem data do not pass the data verification, setting the problem data which does not pass the data verification and is positioned at the most upstream as the problem data at the most upstream, and executing the step S5 and the subsequent steps;
s8: closing the work order and ending the process: and closing the data quality problem work orders of all the problem data and ending the process.
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