Description:

The Snowpark library provides an intuitive library for querying and processing data at scale in Snowflake. Using a library for any of three languages, you can build applications that process data in Snowflake without moving data to the system where your application code runs, and process at scale as part of the elastic and serverless Snowflake engine.

Snowflake currently provides Snowpark libraries for three languages: Java, Python, and Scala. This talk will focus on Snowpark Python.

Benefits: Learn how you can use Python programming language to process data stored in Snowflake. Snowpark best practices. Migration strategies from PySpark to Snowpark.

Prerequisites:

Python basics, knowledge on Pandas or Spark Dataframe APIs

Video URL:

https://www.youtube.com/watch?v=_33pkWTa4BE

Speaker Info:

Prathamesh Nimkar - Senior Data Cloud Architect, Snowflake Phani Raj - Senior Data Cloud Architect, Snowflake

Speaker Links:

https://medium.com/@prathamesh.nimkar https://medium.com/@phaniraj2112