Cloud Data Migration Field Group Conversion
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Solution Overview
Problem
Conventional data migration to the cloud is often unorganized, leading to data loss and corruption, and existing solutions require user expertise due to complex rules and programming nomenclature, making them difficult to use.
Innovation Solution
A method and apparatus that identify eligible data objects, convert field groups to a simple data set format, and modify the data set to include data fields, facilitating data migration by simplifying the process and reducing user complexity through a user-friendly interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional data migration methods are used, then data can be migrated to the cloud, but the process is unorganized and leads to data loss and corruption
Solution Approach 1:
The patent segments the data migration process into distinct phases: identification of data objects, extraction of field groups, conversion to simple data sets, and loading into cloud applications. This structured segmentation prevents data loss and corruption by ensuring each phase is properly executed and validated.
Solution Approach 2:
The patent performs preliminary actions by identifying and extracting field groups from source systems before conversion. Data objects are pre-processed and organized into field groups, which are then converted to simple data sets, ensuring data integrity is maintained throughout the migration process.
2Ease of operation
If existing data migration applications are used, then data can be formatted and uploaded to cloud applications, but the interface requires user expertise and is difficult to use
Solution Approach 1:
The patent introduces an intermediary layer between the user and the complex data migration process. The system automatically handles field group identification, data extraction, and conversion to simple data sets, shielding users from complex programming nomenclature while maintaining ease of operation through a user-friendly interface.
Solution Approach 2:
The system performs self-service by automatically identifying data objects, extracting field groups, and converting data to appropriate formats without requiring user intervention in complex formatting tasks. This automation eliminates the need for users to understand programming nomenclature while maintaining data integrity.
3Productivity
If manual data formatting is performed, then data can be converted to cloud application formats, but the process is time-consuming and error-prone
Solution Approach 1:
The patent replaces manual mechanical data formatting processes with an automated computer-based system. The system automatically extracts field groups from source systems, converts them to simple data sets, and loads them into cloud applications, dramatically increasing productivity while reducing the time required for data formatting.
Solution Approach 2:
The system changes the parameters of data formatting by automatically transforming field groups into simple data sets using predefined conversion rules. This parameter-driven approach eliminates manual formatting efforts, reduces errors, and accelerates the data migration process significantly.
Data Source
AI summary
Data formatting, migration and corresponding application acceptance for cloud-based applications may include various operations. One example operation may include identifying a data object eligible for migration to a cloud application and identifying a number of field groups linked to the data object, each of the field groups may include at least one data field. The operation may further provide receiving the field groups at a data formatting application operated on a remote cloud application server. Also, a format of the field group may be converted to a format associated with a simple data set of the cloud application for data migration purposes.