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Success Story

Reducing Legacy Data Costs While Migrating 12,000+ Tables to a Cloud-Native Platform

Client Background

A Fortune 50 healthcare enterprise with presence across multiple states managing unrelated data systems acquired through strategic acquisitions.

Client Need

To enhance data management and governance, the client aimed to transition the On-Prem data warehouse to cloud:
Consolidate data from multiple on-prem systems and acquired health plans into a unified, scalable platform
Reduce high licensing, maintenance, and infrastructure overheads from legacy environments
Accelerate data processing, improve reporting accuracy, and strengthen decision-making through cloud-native services with advanced scalability and automation
Build a flexible, future-ready platform to support upcoming acquisitions, advanced analytics initiatives, and evolving business requirements

Solution

Innova Solutions partnered with the client to execute a comprehensive migration from legacy on-prem systems to Snowflake:
Migrated all historical and incremental data from Greenplum and Hadoop to Snowflake using Innova proprietary accelerators, ensuring zero data loss
Migrated 12,000+ tables to Snowflake across two enterprise warehouses
Built custom accelerators to convert legacy query logic for execution in Snowflake
Migrated 750+ reports to leverage Snowflake data sources
Converted 2,000+ Greenplum functions for Snowflake using automated tooling, achieving a 60% automated migration rate
Replatformed 500+ workflows from Automic to Control-M and repointed 750+ business and executive reports
Ran parallel production jobs to validate stability before cutover
Automated 40% of data validations using TOSCA
Leveraged Snowflake features like automatic clustering, materialized views, result caching, and zero-copy cloning to optimize performance and cost

Realized Benefits

The migration delivered impactful results, including:
Eliminated multi-million dollar annual licensing costs by retiring Greenplum and legacy infrastructure
Accelerated data processing speeds compared to on-prem systems
Enabled real-time insights and improved reporting capabilities, supporting better decision-making
Enhanced scalability and flexibility to support future data growth
Reduced manual effort in ETL operations and validation
Improved performance and reduced compute costs through Snowflake optimization features

Tools & Technologies

Snowflake
AWS
IBM DataStage
Oracle
Informatica Power Center
Informatica IICS
Tricentis Tosca
Hadoop
Control-M
Greenplum Database
Hive

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