How To Build Python Pipelines In Snowflake Notebook

Are you a Python data engineer who prefers to build with Python? If so, good news. Snowflake has introduced Snowpark, a set of libraries and code execution environments that run Python and other programming languages directly in Snowflake without the need to move your data. Now with a set of newly available capabilities, you not only can build end-to-end data pipelines in Python with Snowflake, but you can schedule, deploy, monitor and operationalize your Python pipelines as well.

Join this instructor-led, virtual hands-on lab to learn how to build an end-to-end pipeline using Snowflake pandas API, scheduling it with Serverless Tasks, all in Snowflake Notebooks. You will learn how to:
– How to create Snowpark Pandas dataframe from a Snowflake table
– How to aggregate data to create new features
– How to Join Snowpark Pandas dataframes
– How to save a Snowpark Pandas dataframe into a Snowflake table
– How to create a serverless task to schedule the feature engineering

Subscribe to this channel for more great content!
-- http://www.snowflake.com/YTsubscribe/

Explore sample code, download tools, and connect with peers:
-- https://developers.snowflake.com/

#Snowflake #AIDataCloud #AI #GenAI #ArtificialIntelligence