Snowflake - Build and Architect Data Pipelines Using AWS - Section Overview - Snowflake with Python, Spark, and Airflow

This video tutorial covers writing Python scripts to interact with Snowflake tables and deploying them in AWS Glue. It introduces the concept of Pushdown in Spark 3.1 and demonstrates deploying a Spark job to transform data in Snowflake. The tutorial also explores setting up a managed Airflow cluster on AWS, connecting it with Snowflake, and creating a DAG with two tasks: one for direct communication with Snowflake and another for triggering a PySpark job. The video concludes with deploying the DAG in the Airflow cluster.

Describe the two tasks involved in the Airflow DAG mentioned in the text.

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What is the significance of deploying the DAG in the Airflow cluster?

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