Scaling analytics with a consolidated Data Lake and Data Warehouse

Reliable, timely, and easy-to-access data is a must in today’s business environment, but data silos, slow data pipelines, and complex environments can significantly slow time to value and insight.

In this on-demand session, learn how Metromile, the leading pay-per-mile car insurance company in the U.S., achieved simplified, streamlined, and scalable data and analytics using Stitch and Snowflake. Sathish Koteshwar, vice president of data at Metromile, Garrett O’Brien, senior product marketing manager at Talend, and Joe Goldberg, director of product marketing at Snowflake explain how Metromile:

• Lowered the overall complexity and cost of its data environment
• Reduced the time it takes to perform data transformation jobs from up to 7 hours to less than 5 minutes
• Enabled all its users to perform fast queries and analytics on all its data