85% of self-managed data lakes fail in their first year. In this recorded webinar, we explore reasons and technical approaches for migrating your self-managed data lake to Snowflake.

In the first part of the webinar we:

• Explore the challenges faced when building and managing your own data lake
• Discuss why migrating from self-managed data lake to a data warehouse is the right choice for you
• Review best practices and common pitfalls to be cautious of during this migration

In the second part of the webinar:

You will learn how to migrate raw files, partitioned and unpartitioned Amazon S3-based data lake to Snowflake using Upsolver.

Highlights include:

• Using a few lines of SQL, integrate with your Amazon S3 bucket and configure folders to migrate
• Monitor data movement tasks and observe the quality and health of data being ingested to Snowflake
• Inspect schema evolution and monitor schema changes over time
• Explore and query your Snowflake-managed data lake in minutes