As cloud computing continues to gather speed, organizations with years worth of data stored in legacy on-premises technologies face challenges of siloed data, high costs and complexity and aren’t able to monetize it.
Migrating to the Snowflake Data Cloud brings exponential benefits with near-unlimited scale, concurrency, and performance; However, achieving the right outcomes requires a sound migration strategy leveraging an ‘Automation First’ approach, meticulous planning, and flawless execution.
Join as experts from Snowflake and LTI share their experiences of the ‘Automation First’ way to accelerate migration to Snowflake’s Data Cloud. You’ll hear about different migration approaches, how to prepare for the move, and the steps to ensure success, and see real use cases of how the entire process can be done in weeks instead of months.
- Ways to accelerate your migration to Snowflake from legacy on-premises technologies
- Real life examples of how large enterprises have completed similar journeys and the outcomes they have achieved
- “Automation First” using LTI’s Canvas Polarsled, accelerating migration with minimal risks
Snowflake CoE Head - LTI
Data Analytics Lead for Manufacturing - LTI
Sr Sales Engineer - Snowflake