Get started building data engineering pipelines using Snowpark in Snowflake Notebooks. In this session, you’ll learn how to build a pipeline with Python in Snowflake and then manage and deploy that notebook through an automated CI/CD.
In this session, we’ll show you how to build:
- A data share from the Snowflake Marketplace to access weather data
- A data engineering pipeline with a Notebook to ingest Excel files into Snowflake
- A data engineering pipeline with a Notebook to transform and aggregate data
- A DAG (or Directed Acyclic Graph) of Tasks to orchestrate/schedule the pipelines
- A CI/CD pipeline to deploy the Notebooks to production
Orateurs
Jeremiah Hansen
Principal Architect, Data Engineering, Global Field CTO Office, Snowflake
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