Snowflake 101: What is Snowpark?

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.

To learn more, enroll in the Introduction to Modern Data Engineering with Snowflake course on Coursera:

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, go to:

[Protocol-X]

All this video does is explain vanilla features in spark, but claim it is a feature of your framework. If you are going to advertise a product, you should advertise the distinct features of your software.

[romangaranin]

Brilliant! Thanks a lot for the explanation!