Automate Your Journey from Enterprise DW

to Snowflake on Azure, AWS, or GCP

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


Reuse your existing investments

Transform decades of effort in 12-20 weeks

Fast, reliable, risk-free, and end-to-end transformation

Choose between migrating as-is and total re-engineering

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

  • 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

Solution Overview

Solution Brief

Automate your workload transformation to Snowflake

Find out how Impetus Snowflake Workload Transformation Solution can help you create a fine balance between migrating as-is and total re-engineering ensuring agility and elasticity while moving to Snowflake.

White Paper

Key considerations when moving your EDW to Snowflake cloud data warehouse

Understand the key considerations and challenges while migrating to Snowflake, and how an automated solution can help you get there faster and cost-effectively.


Leverage existing EDW investments when migrating to Snowflake

Learn to use automation for optimizing existing EDW and migration to cloud-native data warehouse platforms like Snowflake.

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