In this episode of "Snowflake 101," we unwrap Snowpark, the set of libraries and runtimes that deploy and process Python, Java and Scala code. As Diana Pham explains, Snowpark lets users run custom Python, Java, and Scala code and use DataFrame-style programming all directly in Snowflake. In this video, we'll cover key concepts that are important to understand when developing Snowpark applications, and also outline when you should use Snowpark versus Snowflake’s native Spark Connector.
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00:00 Overview of Topics to be Covered
00:29 Defining What Snowpark Is
01:03 Key Concepts for Developing Applications
01:39 How Dataframes Work
02:44 Working with Custom Code
04:05 Snowpark vs. The Spark Connector
05:07 Getting More Information
For more demos, see: https://developers.snowflake.com/demos/