Seamless Data Migration: Accelerating Logistics Reporting from 9 Hours to 30 Minutes with Snowflake

Quantiphi partnered with one of the leading eCommerce logistics and shipping software providers to execute seamless data migration from AWS Redshift to Snowflake. By modernizing their data infrastructure without disrupting ongoing operations, the goal was to enable real-time reporting while reducing costs.

Read how Quantiphi helped the client transition from AWS Redshift to Snowflake, improving reporting capabilities, operational efficiency, and automating data processes.

About the Client

The client is a prominent eCommerce logistics and shipping software solution, providing courier services for businesses across the country. The platform connects merchants, consumers, and supply chain partners through a tech-enabled logistics system.

Problem Statement: A Critical Shift to a Scalable Data Ecosystem

The client needed to migrate historical data from AWS Redshift to Snowflake without downtime, aiming to improve real-time reporting and reduce cost consumption. 

Challenges: Overcoming Data Migration Complexities

• Scalable Data Strategy: Transitioning from AWS Redshift to a more scalable platform without affecting ongoing operations.
• Compliance Requirements: Compliance issues on the SPs required for refactoring.
• Manual Data Processes: Reducing the manual effort involved in data correction and reporting.
• Data Ingestion: Ensuring efficient data migration using existing ingestion mechanisms.

The Solution: A Phased and Disruption-Free Migration

Quantiphi implemented a phased migration of all data assets from AWS Redshift to Snowflake, ensuring no disruption to the client’s business operations. The key elements of the solution included:

• Migration strategy: We enabled loading the base tables from data sources to Snowflake without any downtime in the current business
• Stored Procedure Refactoring: Assisting in refactoring Stored Procedures to make them compatible with Snowflake and simplifying the ETL process to enable near real-time data movement.
• Data Ingestion Optimization: Leveraging the existing ingestion mechanism for efficient data transfer to Snowflake.
• Enhanced Reporting: Enabling downstream BI application reporting with Snowflake as the primary data source, improving business intelligence capabilities

Technology Used

Snowflake

Tableau

SnowSight

Power BI

Results and Impact Created: Faster, Smarter, and More Efficient Data Management

Quantiphi's solution delivered substantial improvements:

• Our solution design brought operational efficiency with a simplified architecture which improved the performance of the whole process
• The reporting time has been significantly reduced from 9 hours to 30 minutes
• Faster query resolution reducing wait times and enhancing user experience
• Improved operational efficiency through simplified architecture for superior performance
• Support for both operational and analytical use cases, enabling advanced automated reporting
• Real-time reporting capabilities with a significant reduction in infra-cost 

Quantiphi's strategic data migration from AWS Redshift to Snowflake ensured a smooth transition, providing the client with a scalable, efficient, and cost-effective data management solution.