QTI Import and ETL Process
The QTI Import and ETL Process was a large-scale data engineering project that involved building a comprehensive Extract, Transform, Load (ETL) system using SQL Server Integration Services (SSIS). The project focused on processing and transforming QTI (Question and Test Interoperability) assessment data from various sources into a centralized data warehouse. The system supported multiple QTI formats including QTI 1.1 and QTI 2.1, handling complex XML structures and educational content metadata.
The Challenge
The project required building a robust ETL system capable of processing large volumes of QTI assessment data from multiple sources and formats. The challenges included handling complex XML structures, supporting multiple QTI versions (1.1 and 2.1), ensuring data quality and consistency, managing performance for large datasets, and creating a scalable architecture that could handle growing data volumes while maintaining data integrity.
- Multi-format QTI data processing (1.1 & 2.1)
- Complex XML structure parsing
- Data validation and quality controls
- Error handling and logging
- Scalable data warehouse architecture
- Performance optimization for large datasets
The Solution & Results
Developed a comprehensive ETL solution using SSIS (SQL Server Integration Services) with C# custom components for complex data transformations. Created data flow packages to extract QTI XML data from various sources, transform it according to business rules, and load it into a structured data warehouse. Implemented support for both QTI 1.1 and QTI 2.1 formats with version-specific processing logic. Built data validation, error handling, and logging mechanisms to ensure data quality and process reliability.
Successfully delivered a robust ETL system that processes millions of QTI assessment records efficiently. The system now supports seamless data integration from multiple sources, provides comprehensive data quality controls, and enables advanced analytics and reporting on educational assessment data. The data warehouse serves as a centralized repository for all assessment-related information, supporting business intelligence and educational analytics initiatives.