Our automated solution brings together data-driven decision support, workload transformation automation, and cloud data platform expertise to address the challenges of cloud adoption.

The Impetus Snowflake Workload Transformation Solution leverages automation to simplify and accelerate the ETL and EDW transformation process with speed, reliability, and minimal coding.

Eliminate error-prone processes

Eradicate slow and costly manual practices

Mitigate risk with automation as you scale

Accelerate time-to-market

This is how we make it simple

• ASSESSMENT

• TRANSFORMATION

• VALIDATION

• EXECUTION

• Automated legacy data warehouse inventory and profiling
• Identify workloads (metadata, data, and code), dependencies
• Create optimized schema for Snowflake (clustering keys, Parquet format/ file size for S3 uploads, etc.)
• Group workloads into migration units

• Up to 90% automated code conversion to SnowSQL
• Automated data migration to optimized schema
• Automated handling of data types, nested views, intervals, loops, UDFs, procedures, etc.
• Create patterns/recipes for target platform
• Auto-generate the recipes/patterns for newer migrations
• Query editing for optimized fixes and performance tuning

• Auto-generate validation/reconciliation scripts
• Data validation at the minutest level
• Custom query-based validation
• Syntactical and semantic validation of converted logic and scripts

• Enable execution through recipe/pattern orchestration/execution engine
• Execution of the transformed scripts on any standard big data environment
• Output artifacts: Python, Scala, Shell, Snow procs
• Comprehensive reports