Data Synchronization Device for Automated Table Construction
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Solution Overview
Problem
The efficiency of data synchronization across various IT systems in semiconductor companies is low due to the independence of data systems and differences in data types and formats, requiring manual development of synchronization programs or scripts for each data table, which is a heavy and tedious workload.
Innovation Solution
A method and device for data synchronization that determines synchronization configuration information, queries the source database to identify the target data table, and constructs a target data table based on field identification, allowing direct synchronization of data without the need for manual programming or scripting for each data table, thereby reducing development workload and improving efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual development of synchronization programs or scripts is performed for each data table, then data synchronization can be achieved, but development workload increases and efficiency decreases
Solution Approach 1:
The system performs self-service by automatically generating synchronization programs and scripts based on metadata from data tables, eliminating the need for manual development. The synchronization device autonomously completes tasks that previously required human developers, thereby reducing development workload while maintaining synchronization capability.
Solution Approach 2:
The system performs preliminary action by pre-generating synchronization programs and scripts before actual data synchronization is needed. By preparing these programs in advance based on metadata analysis, the system eliminates the need for manual program development at the time of synchronization, thus improving efficiency without sacrificing customization.
2Adaptability or versatility
If data systems are kept independent with different data types and formats, then system autonomy is maintained, but data integration becomes difficult and time-consuming
Solution Approach 1:
The synchronization device acts as an intermediary between independent data systems with different formats. It retrieves metadata from source data tables, generates appropriate synchronization programs based on format differences, and executes these programs to transfer data between systems. This intermediary approach maintains system independence while enabling efficient data integration.
Solution Approach 2:
The system applies parameter changes by dynamically adjusting synchronization parameters based on the specific data types and formats of source and target systems. The generated programs modify data parameters (types, formats, structures) during synchronization, allowing independent systems with different data characteristics to exchange data efficiently without manual reconfiguration.
Data Source
AI summary
A method and device for data synchronization, a storage medium and an electronic device are provided. The method for data synchronization includes operations as follows. Synchronization configuration information for data to be synchronized is determined, and the synchronization configuration information at least includes a data identification of the data to be synchronized and a source data table identification of a source data table where the data to be synchronized is located. A source database is queried based on the source data table identification to obtain a target source data table where the data to be synchronized is located. A field identification of the data to be synchronized is determined from the target source data table based on the data identification. A target data table is constructed based on the field identification, and the data to be synchronized is synchronized into the target data table.