Assessment and Preparation
- Automatic code assessment for rationalization and migration planning
- Comprehensive dependency mapping with data & file lineage
- Development of required frameworks and standards
- Code complexity analysis, block labels, and LoC assessment
- Rationalize and standardize current ETLs
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Conversion and Migration
- Automated SQL and ETL code translation with modernization
- Multi-code conversion with enhanced optimization and unit testing
- Metadata preservation and comprehensive documentation
- Visual execution on Databricks, Snowflake, and cloud platforms
- Native integration with DBT, Airflow, and Git
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Testing and Validation
- End-to-end automated testing of data pipelines
- Comprehensive data validation and schema mapping
- Side-by-side output comparison and metrics validation
- Test data generation and cut-over preparation
- Partitioned validation with automated error detection
🚀 Go-Live and Hyper Care
Seamless transition with dedicated support and monitoring to ensure optimal performance
Key Benefits
Accelerated migration timelines
Reduced risk and improved accuracy
Cost-effective automation
Enhanced data quality and integrity