Join us for ‘Mastering Data Pipelines with Snowflake & Python,’ a focused, hands-on Snowpark workshop tailored for developers and data engineers. We’ll look into modern ways to set up the data pipeline in Snowflake Data Cloud using Snowpark, the set of libraries and runtimes that securely deploy and process Python in Snowflake.
During this 1-hour workshop, our technical experts will dive deeper into new features and core platform capabilities for tackling tough data challenges using Snowflake.
Those who attend the webinar will have access to the sample code shown during the demo.
Register to attend to learn how to get the most out of the Snowflake Data Cloud!
Speakers
Umesh Patel
Principal Sales Engineer
Snowflake
Agenda
10 min
Presentation:
Understand Snowflake’s various features for data ingestion (streaming and batch) and transformation to build a data pipeline.
40-45 min
Snowflake Advanced Features Showcase:
Go hands-on as we show how you can use Python to ingest data (Snowpipe Streaming), build data pipelines (Snowpark, external access, unstructured file access, triggered tasks, serverless tasks) and get data from various sources using data engineering, and it will include a demo using LLM functions.
5-10 min