Dynamic Table (Public Preview) is a new table type that drastically simplifies continuous data pipelines for transforming both batch and streaming data. With Dynamic Tables, Snowflake simplifies the creation and maintenance of data pipelines. But how do you use Dynamic Tables exactly?

During this webinar, you will learn how to set up a full data pipeline to handle streaming and continuous data pipelines in a declarative manner. You will also see a live demo, have a chance to ask questions during an interactive Q&A session, and discover: 

  • The difference between a Dynamic Table, a Materialized View, and when to use Streams & Tasks 
  • Steps on how to use Snowpark Python to create a Dynamic Table 
  • If you can chain a series of Dynamic Tables together to meet different business SLAs
  • Popular use cases for data validation, data quality and more 
  • How to control your pipelines, handle query evolution and take advantage of the Snowflake Data Cloud for native observability, governance and security
  • Shiyi Gu

    Senior Product Marketing Manager

  • Parag Jain

    Principal Architect, Data Engineering

  • Daniel Mills

    Senior Software Engineer

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