Building Data Engineering Pipelines Using Snowpark in Snowflake

Building Data Engineering Pipelines Using Snowpark in Snowflake
Building Data Engineering Pipelines Using Snowpark in Snowflake

Building Data Engineering Pipelines Using Snowpark in Snowflake

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

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