CN112835957B - Data quality monitoring method and system for data center station based on block chain technology - Google Patents
Data quality monitoring method and system for data center station based on block chain technology Download PDFInfo
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Abstract
The invention relates to a data quality monitoring method and system for a data center station based on a block chain technology. The method comprises the following steps: the service system automatically completes data consistency index statistics on the user data according to a preset time period, and generates a first data consistency result; the block chain system sends out a data statistics instruction to the data center station through an intelligent contract; the data center counts the data consistency index of the user data to generate a second data consistency result; the blockchain system receives the second data consistency result, processes the first data consistency result and the second data consistency result through an intelligent contract, intelligently analyzes the data consistency, and generates a consistency analysis result; judging whether the consistency analysis results all accord with a consistency rule, if so, determining that the user data has consistency in a service system and a data center; if not, determining that the user data does not have consistency in the service system and the data center. The invention ensures the consistency of data in different systems.
Description
Technical Field
The present invention relates to the field of data quality monitoring, and in particular, to a method and a system for monitoring data quality of a data center station based on a blockchain technology.
Background
With the continuous development of block chains, data quality monitoring technology is attracting more attention, and monitoring whether the total amount and index value of the same data in two systems, namely a business system and a data center are consistent, so as to assess whether the data quality is on the premise that the data can be used for supporting business decisions, and the data quality is always a great difficulty for data developers and data users, wherein the consistency of the data is particularly common.
Inconsistencies in different systems of the same piece of data can lead to a number of problems, such as: because of frequent data quality problems, data development and data use personnel have to expend a great deal of effort to deal with the data quality problems, so that the time for business self is reduced, the project progress is influenced finally, and the working efficiency is low; the data provided for the service is not in accordance with the actual condition of the service, so that the service is not trusted for the data for a long time, and a trust crisis occurs; the value of the data depends on supporting business decisions, the quality of the data is not guaranteed, and the value of the data is not reflected. Therefore, monitoring the quality of data is a serious issue, but the existing monitoring method can only monitor the data in the same system, cannot monitor the same data in different systems in real time, and cannot ensure the consistency of the data in different systems.
Disclosure of Invention
The invention aims to provide a data quality monitoring method and system for a data center station based on a block chain technology, which are used for solving the problems that the existing monitoring method can only monitor data in the same system, cannot monitor the same data in different systems in real time and cannot ensure the consistency of the data in different systems.
In order to achieve the above object, the present invention provides the following solutions:
a data quality monitoring method for a data center based on a blockchain technique, comprising: business system, block chain system and data center station;
the service system automatically completes data consistency index statistics on user data according to a preset time period, and generates a first data consistency result;
the blockchain system receives the first data consistency result and sends a data statistics instruction to the data center station through an intelligent contract;
based on the first data consistency result, the data center station counts data consistency indexes of the user data according to the data statistics instruction to generate a second data consistency result;
the blockchain system receives the second data consistency result, processes the first data consistency result and the second data consistency result through the intelligent contract, intelligently analyzes data consistency, generates a consistency analysis result, and writes the consistency analysis result into the blockchain system;
judging whether the consistency analysis results meet the consistency rules set by the service system and the data center respectively in the service system and the data center so as to obtain a first judgment result;
if the first judging result shows that the consistency analysis results in the service system and the data center meet the consistency rules set by the service system and the data center together, determining that the user data has consistency in the service system and the data center;
and if the first judging result shows that the consistency analysis results in the service system and the data center do not meet the consistency rules set by the service system and the data center together, determining that the user data does not have consistency in the service system and the data center.
Optionally, the service system automatically completes statistics of data consistency indexes on the user data according to a preset time period, and generates a first data consistency result, and then further includes:
a data uplink request is issued to the blockchain system.
Optionally, the blockchain system receives the second data consistency result, processes the first data consistency result and the second data consistency result through the intelligent contract, intelligently analyzes data consistency, generates a consistency analysis result, and writes the consistency analysis result into the blockchain system, and then further includes:
and simultaneously transmitting the consistency analysis result to the business system and the data center through the intelligent contract.
Optionally, the determining that the user data has consistency in the service system and the data center further includes:
and sending the detection result of the user data to the user client.
Optionally, the determining that the user data does not have consistency in the service system and the data center further includes:
processing the user data to generate processed user data, taking the processed user data as the user data, and returning the user data to automatically complete data consistency index statistics of the service system according to a preset time period to generate a first data consistency result.
A data quality monitoring system for a data center based on blockchain technology, comprising: business system, block chain system and data center station;
the first data consistency result generation module is used for automatically completing data consistency index statistics on user data according to a preset time period by utilizing the service system to generate a first data consistency result;
the data statistics instruction sending module is used for receiving the first data consistency result by utilizing the blockchain system and sending data statistics instructions to the data center platform through an intelligent contract;
the second data consistency result generation module is used for generating a second data consistency result by counting the data consistency indexes of the user data according to the data statistics instruction based on the first data consistency result;
the consistency analysis result generation module is used for receiving the second data consistency result by utilizing the blockchain system, processing the first data consistency result and the second data consistency result through the intelligent contract, intelligently analyzing the data consistency, generating a consistency analysis result and writing the consistency analysis result into the blockchain system;
the first judging module is used for judging whether the consistency analysis results meet the consistency rules set by the service system and the data center respectively in the service system and the data center so as to obtain a first judging result;
the consistency determining module is used for determining that the user data has consistency in the service system and the data center if the first judging result shows that the consistency analysis results in the service system and the data center are consistent with a consistency rule set by the service system and the data center together;
and the non-consistency determining module is used for determining that the user data has no consistency in the service system and the data center if the first judging result shows that the consistency analysis result in the service system and the data center does not meet the consistency rule set by the service system and the data center together.
Optionally, the method further comprises:
and the data uplink request sending module is used for sending a data uplink request to the block chain system.
Optionally, the method further comprises:
and the consistency analysis result sending module is used for sending the consistency analysis result to the business system and the data center station simultaneously through the intelligent contract.
Optionally, the method further comprises:
and the detection result sending module is used for sending the detection result of the user data to the user client.
Optionally, the method further comprises:
and the processing module is used for processing the user data, generating processed user data, taking the processed user data as the user data, and returning the data consistency index statistics of the user data automatically completed by the service system according to a preset time period to generate a first data consistency result.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects: the invention provides a data quality monitoring method and a system for a data center based on a block chain technology, which utilize intelligent contracts in a block chain system to realize data consistency monitoring of the same data in different systems, for example, judge whether total amount and index values of the same customer data in two systems, namely a business system and the data center are consistent, realize data consistency monitoring in the data quality monitoring process of the data center, ensure that user data in the business system and the data center keep data consistency, improve the availability of the data, reduce the maintenance cost of the data consistency in the construction process of the data center, and improve the trust degree of data users on the data of the data center.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for monitoring data quality of a data center based on a blockchain technique according to the present invention;
FIG. 2 is a block chain technology based data quality monitoring system architecture diagram of a data center.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention aims to provide a data quality monitoring method and system for a data center station based on a block chain technology, which realize real-time monitoring of the same data in different systems and ensure the consistency of the data in the different systems.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
Fig. 1 is a flowchart of a data quality monitoring method of a data center based on a blockchain technology, as shown in fig. 1, and the data quality monitoring method of the data center based on the blockchain technology includes: business system, blockchain system and data center.
Step 101: and the service system automatically completes data consistency index statistics on the user data according to a preset time period to generate a first data consistency result.
The step 101 further includes: and sending a data uplink request to the block chain system, and writing a first data consistency result of data consistency index statistics of the service system request uplink into the block chain after the block chain system receives the data uplink request.
Step 102: and the blockchain system receives the first data consistency result and sends a data statistics instruction to the data center station through an intelligent contract.
Intelligent contract: and (3) processing data consistency through rule matching, namely, if the same data A is available in both a service system and a data center and is uplink, setting a matching rule in an intelligent contract to judge whether the data of the two systems are consistent.
Step 103: based on the first data consistency result, the data center station counts data consistency indexes of the user data according to the data statistics instruction, and generates a second data consistency result.
The block chain system sends out a data statistics command to the data center station through the intelligent contract after the data consistency result counted by the service system is uplink, the data center station counts the same data consistency index of the service system according to the received command, and sends out an uplink request to the block chain after counting is completed, and the block chain system writes second data consistency result data counted by the data center station into the block chain after receiving the uplink request.
Step 104: and the blockchain system receives the second data consistency result, processes the first data consistency result and the second data consistency result through the intelligent contract, intelligently analyzes the data consistency, generates a consistency analysis result, and writes the consistency analysis result into the blockchain system.
After the data consistency statistical data of the two parts of the business system and the data center are written into the blockchain system, the blockchain system intelligently analyzes the data consistency by intelligently canceling the data consistency statistical data submitted by the business system and the data center and writes the consistency analysis result into the blockchain.
The intelligent analysis data consistency is to set consistency monitoring rules in intelligent contracts, and monitor whether the data of the business system and the data center are consistent according to the rules, for example: total data, index range.
Consistency analysis results:
1) And if the data consistency is passed, the data consistency is given.
2) Data consistency is not passed, and user data may have the following problems:
data volume problem: the data is more and less.
Index range problem: the index is bigger and smaller.
The data formats are inconsistent.
Data is missing.
The step 104 further comprises: and simultaneously transmitting the consistency analysis result to the business system and the data center through the intelligent contract.
Step 105: and judging whether the consistency analysis results meet the consistency rules set by the service system and the data center in the service system and the data center respectively, if so, executing step 106, and if not, executing step 107.
Step 106: and determining that the user data has consistency in the service system and the data center.
The step 106 further includes: and sending the detection result of the user data to the user client.
Step 107: and determining that the user data does not have consistency in the service system and the data center.
The step 107 further includes: processing the user data to generate processed user data, taking the processed user data as the user data, and returning the user data to automatically complete data consistency index statistics of the service system according to a preset time period to generate a first data consistency result.
And (3) analyzing data consistency analysis results returned by the intelligent contract by the service system and the data center, and informing a user that the data meets the requirements if the data is consistent and meets the preset consistency rules. If the data consistency problem analysis results are not met, the business system and the data center station process corresponding data problem processing according to the data consistency problem analysis results given by the intelligent contract.
The data consistency refers to a comparison result of the data consistency of the business system and the data center.
The result analysis model analyzes the analysis result according to the rule to obtain the type of the problem, and specific data objects pointed by the problem, such as: the total amount of data is inconsistent, which is the data of which library and table is inconsistent.
Processing analysis results by a business system:
the data volume is inconsistent, and the service system retransmits the data to the data center station.
The service system detects the statistical logic.
And detecting the data format by the service system, and normalizing the data format.
And detecting the reason of the data loss by the service system, and sending out a loss alarm.
Processing analysis results by a data center:
the data amount is inconsistent, and the data is reckoned.
And the data index range problem, and the data center station detects the statistical logic.
And the data format is not always the same, and the data center station detects the data format and performs normalization processing on the format.
And detecting the reason of the data loss by the data center station, and sending out a loss alarm.
And the business system counts the data consistency index again after the problem processing is completed, and sends a data uplink request to the block chain system after the statistics is completed, and the block chain system receives the uplink request and carries out uplink processing on the data consistency result data. The intelligent contract analyzes and processes the data consistency again after the data is up-linked.
The intelligent contract repeats the above process according to the data consistency analysis result if the data consistency problem exists until the data consistency meets the predefined rule, and informs the user of the detection result
Fig. 2 is a block chain technology based data quality monitoring system structure diagram of a data center, as shown in fig. 2, and the block chain technology based data center data quality monitoring system includes: business system, blockchain system and data center.
The first data consistency result generating module 201 is configured to automatically complete statistics of data consistency indexes on user data according to a preset time period by using the service system, and generate a first data consistency result.
And the data statistics instruction issuing module 202 is configured to receive the first data consistency result by using the blockchain system, and issue data statistics instructions to the data center station through an intelligent contract.
And the second data consistency result generating module 203 is configured to generate a second data consistency result by counting data consistency indexes of the user data according to the data statistics instruction based on the first data consistency result.
And the consistency analysis result generating module 204 is configured to receive the second data consistency result by using the blockchain system, process the first data consistency result and the second data consistency result through the intelligent contract, intelligently analyze data consistency, generate a consistency analysis result, and write the consistency analysis result into the blockchain system.
And the first judging module 205 is configured to judge whether the consistency analysis results respectively conform to the consistency rules set by the service system and the data center in the service system and the data center, so as to obtain a first judging result.
And a consistency determination module 206, configured to determine that the user data has consistency in the service system and the data center if the first determination result indicates that the consistency analysis results in both the service system and the data center conform to a consistency rule set by both the service system and the data center.
And the consistency determination module 207 is configured to determine that the user data does not have consistency in the service system and the data center if the first determination result indicates that the consistency analysis result in the service system and the data center does not both conform to a consistency rule set by the service system and the data center together.
In addition, the invention also comprises:
and the data uplink request sending module is used for sending a data uplink request to the block chain system.
And the consistency analysis result sending module is used for sending the consistency analysis result to the business system and the data center station simultaneously through the intelligent contract.
And the detection result sending module is used for sending the detection result of the user data to the user client.
And the processing module is used for processing the user data, generating processed user data, taking the processed user data as the user data, and returning the data consistency index statistics of the user data automatically completed by the service system according to a preset time period to generate a first data consistency result.
Compared with the prior art, the invention has the following advantages:
and (3) the intelligent data consistency monitoring is automatically carried out according to configuration rules in the detection process, and the found problems are automatically processed.
Convenience, through simple configuration, can monitor the uniformity of data that needs to monitor.
The method can monitor the data consistency detection data and consistency comparison results after the uplink based on the non-tamper property of the blockchain.
Traceable, blockchain has non-tamper-evident, through using blockchain, can trace back the source to the verification process of data uniformity, more quickly trace back to the source of data quality problem.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present invention and the core ideas thereof; also, it is within the scope of the present invention to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the invention.
Claims (10)
1. A method for monitoring data quality of a data center based on a blockchain technology, comprising: business system, block chain system and data center station;
the service system automatically completes data consistency index statistics on user data according to a preset time period, and generates a first data consistency result;
the blockchain system receives the first data consistency result and sends a data statistics instruction to the data center station through an intelligent contract;
based on the first data consistency result, the data center station counts data consistency indexes of the user data according to the data statistics instruction to generate a second data consistency result;
the blockchain system receives the second data consistency result, processes the first data consistency result and the second data consistency result through the intelligent contract, intelligently analyzes data consistency, generates a consistency analysis result, and writes the consistency analysis result into the blockchain system;
judging whether the consistency analysis results meet the consistency rules set by the service system and the data center respectively in the service system and the data center so as to obtain a first judgment result;
if the first judging result shows that the consistency analysis results in the service system and the data center meet the consistency rules set by the service system and the data center together, determining that the user data has consistency in the service system and the data center;
and if the first judging result shows that the consistency analysis results in the service system and the data center do not meet the consistency rules set by the service system and the data center together, determining that the user data does not have consistency in the service system and the data center.
2. The method for monitoring data quality of a data center based on a blockchain technique according to claim 1, wherein the service system automatically completes statistics of data consistency indexes for user data according to a preset time period to generate a first data consistency result, and further comprises:
a data uplink request is issued to the blockchain system.
3. The blockchain technology based data quality monitoring method of claim 1, wherein the blockchain system receives the second data consistency result, processes the first data consistency result and the second data consistency result through the smart contract, intelligently analyzes data consistency, generates a consistency analysis result, and writes the consistency analysis result into the blockchain system, and then further comprises:
and simultaneously transmitting the consistency analysis result to the business system and the data center through the intelligent contract.
4. The blockchain technology based data center data quality monitoring method of claim 1, wherein the determining that the user data has consistency within the service system and the data center further comprises:
and sending the detection result of the user data to the user client.
5. The method for data quality monitoring of a blockchain technology based data center of claim 1, wherein the determining that the user data does not have consistency within the service system and the data center further comprises:
processing the user data to generate processed user data, taking the processed user data as the user data, and returning the user data to automatically complete data consistency index statistics of the service system according to a preset time period to generate a first data consistency result.
6. A data quality monitoring system for a data center based on a blockchain technique, comprising: business system, block chain system and data center station;
the first data consistency result generation module is used for automatically completing data consistency index statistics on user data according to a preset time period by utilizing the service system to generate a first data consistency result;
the data statistics instruction sending module is used for receiving the first data consistency result by utilizing the blockchain system and sending data statistics instructions to the data center platform through an intelligent contract;
the second data consistency result generation module is used for generating a second data consistency result by counting the data consistency indexes of the user data according to the data statistics instruction based on the first data consistency result;
the consistency analysis result generation module is used for receiving the second data consistency result by utilizing the blockchain system, processing the first data consistency result and the second data consistency result through the intelligent contract, intelligently analyzing the data consistency, generating a consistency analysis result and writing the consistency analysis result into the blockchain system;
the first judging module is used for judging whether the consistency analysis results meet the consistency rules set by the service system and the data center respectively in the service system and the data center so as to obtain a first judging result;
the consistency determining module is used for determining that the user data has consistency in the service system and the data center if the first judging result shows that the consistency analysis results in the service system and the data center are consistent with a consistency rule set by the service system and the data center together;
and the non-consistency determining module is used for determining that the user data has no consistency in the service system and the data center if the first judging result shows that the consistency analysis result in the service system and the data center does not meet the consistency rule set by the service system and the data center together.
7. The blockchain technology based data center data quality monitoring system of claim 6, further comprising:
and the data uplink request sending module is used for sending a data uplink request to the block chain system.
8. The blockchain technology based data center data quality monitoring system of claim 6, further comprising:
and the consistency analysis result sending module is used for sending the consistency analysis result to the business system and the data center station simultaneously through the intelligent contract.
9. The blockchain technology based data center data quality monitoring system of claim 6, further comprising:
and the detection result sending module is used for sending the detection result of the user data to the user client.
10. The blockchain technology based data center data quality monitoring system of claim 6, further comprising:
and the processing module is used for processing the user data, generating processed user data, taking the processed user data as the user data, and returning the data consistency index statistics of the user data automatically completed by the service system according to a preset time period to generate a first data consistency result.
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