From Redshift to Snowflake: A migration blueprint for data leaders

Intended Audience: Data Leaders, Data Strategists, Technical PMs, or anyone interested in understanding the strategy behind a warehouse migration. Takeaways: In this session, you’ll dive into a real-world case study detailing our successful migration from Redshift to Snowflake for a leading global luxury beauty brand. Discover how our team achieved a seamless transition within a three-month timeframe by aligning stakeholders, defining clear migration goals, and leveraging carefully chosen tools to speed up the process. Session will touch on: - Stakeholder Alignment & Goal Setting: Discover how initial alignment discussions and defining precise migration goals laid the foundation for success. Learn how mapping critical workflows and stakeholder dependencies enabled a smooth, disruption-free transition. - Tech Stack Integration & Execution: Gain insights into why each tool was chosen and how they worked in concert— AWS S3 as an interim for data ingestion, SnowConvert + Cursor to accelerate the migration process, and a modification of reladiff to save hours on data QA - Risk Management & Testing Strategies: Delve into our proactive approach to risk mitigation and quality assurance, including automated data integrity checks and contingency planning. Understand how careful testing and validation ensured minimal discrepancies and maintained business continuity. Attendees will gain a proven framework for managing large-scale migrations, with real-world examples of: - Effective stakeholder alignment and planning - Strategic tech stack selection and integration - Robust testing and risk mitigation strategies