Cloud data lakes often fail on performance, governance, and scale. This guide shows how to modernize your lake into a lakehouse that powers AI and analytics.

You’ll learn how to:

• Overcome complexity, performance, governance, compliance, and security challenges using Snowflake’s lakehouse
• Snowpark supports Python and other programming languages, in addition to SQL
• A data engineering pipeline with a Notebook to transform and aggregate data
• A data engineering pipeline with a Notebook to transform and aggregate data
• Data engineers can use Python efficiently and with impact within the Snowflake platform