What are Snowflake Office Hours?
- Live, 30-minute case study and Q&A sessions with a Snowflake customer.
- Ask an industry peer questions about their Snowflake cloud data warehouse implementation and how Snowflake has advanced their data analytics.
October 30 @ 10:00 AM CET: Finavia – Development Manager, BI and Data Analytics, Tommi Vihervaara
The Finnish airport operator
Deep dive into Finavia’s data journey: How to create modern, cloud-based data platform from scratch? The beginning, setting goals and how to get there? How to start a data-driven culture change? Also a quick look at the core enablers: methods and technologies.
November 6 @ 10AM PST: Return Path – Sr. Manager of Data Analytics, Brianna Connelly
Experts in email deliverability
Return Path migrated to Snowflake after years of data analytics challenges, including difficult data integration, high monthly costs with low visibility, and slow workloads. Since using Snowflake, Return Path has been able to accelerate their analytics workloads while experiencing clear cost-visibility and low infrastructure maintenance.
December 11 @ 10AM PST: Strava – Data Engineer, Carlin Eng
The social network for athletes
Strava enables millions of athletes from around the world to track their performance, connect with fellow athletes, and compete with each other. Of course, data is at the core of their solution. Prior to Snowflake, Strava had been using a legacy, cloud-washed data warehouse that stifled the organization with poor performance and limited concurrency. Ultimately, Strava switched to Snowflake to enable unprecedented access and transparency, with the unlimited performance that only a cloud-built data warehouse can offer.
Development Manager, BI and Data Analytics, Finavia
Senior Manager of Data Analytics, Return Path
Data Engineer, Stava