Import and Save DISARM Red Framework Data into Database Tables

[KadeMorton]

Description

Following the creation of the necessary database tables for storing DISARM Red Framework data, this ticket involves developing the code to import and save the DISARM Red Framework (STIX) data into these tables. The task includes ensuring that the import process is efficient, error-free, and maintains data integrity.

Task

• Develop Import Functionality: Write the code to import DISARM Red Framework data from the source files or API into the database. Ensure the import process is capable of handling the structure and complexity of STIX data.
• Implement Data Validation: Integrate data validation checks to ensure that only valid and complete data is imported into the database tables.
• Error Handling and Logging: Implement robust error handling and logging mechanisms to track any issues that occur during the import process, enabling easier debugging and maintenance.
• Optimize for Performance: Ensure that the import process is optimized for performance, especially if dealing with large volumes of data.
• Testing and Verification: Test the import process thoroughly to ensure that data is correctly saved in the database and that all operations are performed efficiently.

Acceptance Criteria

• Completion of the import code that correctly ingests DISARM Red Framework data into the database tables.
• Implementation of data validation checks to ensure the integrity of the imported data.
• Successful error handling and logging mechanisms that capture and report any issues during the import process.
• Performance optimization to handle large data imports effectively.
• Validation through testing that the data is imported correctly, with all relevant fields populated as expected.

Dependencies

• Completion of the database tables for storing DISARM Red Framework data Design and Create Database Tables for Storing DISARM Red Framework Data #122

Steps

1. Development of Import Code: Write and test the import code, ensuring it meets all functional requirements.
2. Implementation of Validation and Error Handling: Develop and integrate validation checks and error handling.
3. Performance Optimization: Optimize the import process for performance.
4. Testing and Final Validation: Conduct thorough testing and final validation to ensure correct data import and performance.