From 24 Hours To 9 Minutes: Complex Data Processing With Snowflake At Genuine Parts

Managing and updating a massive product catalog is no trivial task. For Genuine Parts, that means a hundred million records of data need to be fresh and accurate, and updated multiple times a day to achieve inventory accuracy. With their previous on-premises systems, it took over 24 hours for the team to deliver data, making fresh insights impossible. 

The data engineering team turned to Snowflake as a solution to enable stores, supply chains, and teams across the organization to always have an up-to-date look into inventory.  

Hear from the Genuine Parts engineering team and Snowflake experts about: 

• Why the team chose Snowflake over Spark-based solutions
• How the team simplifies their tech stack and reduces technical friction
• How data architecture is transformed
• Their business outcomes