Python consistently ranks in the top three most popular programming languages, but data engineers have had to use separate tools for data transformations in Python versus other programming languages.

Snowpark is Snowflake’s developer framework that enables all data users to bring their work to the Snowflake Data Cloud with native support for Python, SQL, Java, and Scala.

In the pages that follow, we’ll discuss Snowpark and best practices for using Python within the Snowflake Data Cloud. You will learn how:

• Snowflake supports data engineering with Snowpark, along with its main benefits and use cases
• Snowpark supports Python and other programming languages, in addition to SQL
• 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
• Snowpark fits into the larger Snowflake data engineering ecosystem