Build Production-Grade, AI-Ready Data Pipelines In Snowflake Data Engineering Bootcamp

AI can only be as good as the data that feeds it. Join Snowflake's Jeremiah Hansen and Vino Duraisamy in this session to get hands-on experience building a scalable, production-grade data pipeline in Python that powers your AI use-cases. You will learn to ingest and transform both structured and unstructured data using all the familiar Snowpark and Pandas DataFrame API, and automate the entire workflow with native Snowflake Tasks. A truly production-grade pipeline requires more than just code. We'll cover how to integrate your pipeline with Git from your favorite IDE or Snowflake Notebooks to establish a full CICD workflow, including implementing testing and monitoring to ensure your data is always reliable. By the end, you'll have a blueprint for an automated, enterprise-grade pipeline designed to operationalize data for advanced analytics and AIL/LM applications. Follow along here: https://www.snowflake.com/en/developers/guides/data-engineering-with-notebooks/ Subscribe to this channel for more great content! 👉 http://www.snowflake.com/YTsubscribe/ Click here to start your 30-day free Snowflake trial, which includes $400 worth of free usage: 👉 https://snowflake.com/youtube-dev-trial Explore sample code, download tools, and connect with peers: 👉 https://developers.snowflake.com/ #Snowflake #Python #DataCloud #DataEngineering #pythontutorial #pandas #howto #python