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Virtual Hands-on Lab

Build Declarative Streaming Data Pipelines with Dynamic Tables

On-Demand

Dynamic Table 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.

In this instructor-led session, you will learn how to:

  • Build continuous and streaming data pipeline using Dynamic tables
  • Manage and monitor Dynamic tables
  • Create data validation automation and alerts
  • Manage Snowpark Python user defined table function (UDTF) and use it in Dynamic tables
Speakers
Parag Jain

Data Engineering, Field CTO,
Snowflake

Shiyi Gu

Product Marketing Lead, Data Engineering,
Snowflake

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